Leading Professional Society for Computational Biology and Bioinformatics
Connecting, Training, Empowering, Worldwide

Upcoming Conferences

A Global Community

  • ISCB Student Council

    dedicated to facilitating development for students and young researchers

  • Affiliated Groups

    The ISCB Affiliates program is designed to forge links between ISCB and regional non-profit membership groups, centers, institutes and networks that involve researchers from various institutions and/or organizations within a defined geographic region involved in the advancement of bioinformatics. Such groups have regular meetings either in person or online, and an organizing body in the form of a board of directors or steering committee. If you are interested in affiliating your regional membership group, center, institute or network with ISCB, please review these guidelines (.pdf) and submit your application using the online ISCB Affiliated Group Application form. Your exploratory questions to ISCB about the appropriateness of a potential future affiliation are also welcome by Diane E. Kovats, ISCB Executive Director (This email address is being protected from spambots. You need JavaScript enabled to view it.).

  • Communities of Special Interest

    topically-focused collaborative communities


  • ISCBconnect

    open dialogue and collaboration to solve problems and identify opportunities

  • ISCB Member Directory

    connect with ISCB worldwide

  • ISCB Innovation Forum

    a unique opportunity for industry

Professional Development, Training and Education

ISCBintel and Achievements

Birds of a Feather (BoF) Schedule


BOF01: Curriculum Guidelines for Bioinformatics and Computational Biology  (An Open Forum of the Curriculum Task Force of the ISCB Education Committee)
Leader: Lonnie Welch
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Affiliation: Ohio University

Day: Monday July 22, 1:00 p.m. - 2:00 p.m. (NEW CHANGE)
Room: Hall 4/5
The Curriculum Task Force of the ISCB Education Committee will hold an open forum to discuss a draft set of bioinformatics core competencies (derived from the findings of surveys of career opportunities, bioinformatics core facility directors, and existing curricula).  Three different categories of bioinformatics training will be considered.



BOF02: GPU Acceleration of Bioinformatics Pipeline
Leader: Mark Berger
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Affiliation: NVIDIA Corporation

Day: Monday July 22, 5:40 p.m. - 6:40 p.m.
Room: TBA


Summary: NVIDIA Engineering has been working to accelerate  several bioinformatics algorithms on graphics processing units (GPUs).  Our Engineering team would like feedback on their work, potential future collaborations and priorities planned.

NVIDIA has been developing an internal-only library called NVBIO as a starting point for understanding how to map modern short-read mappers to GPU architectures.  We agree that alignment is the obvious place to start and we have had good success for seed-and-extend algorithms like Bowtie2 as well as the basic FM-Index backtracking schemes like BWA-Short.  NVBIO includes a from-scratch rewrite of the Bowtie2 algorithm that achieves 4-5x for a GPU versus a multicore CPU on single-ended reads, and slightly less for paired-end reads.  We can get similar numbers for BWA-short, and we believe BWA-MEM should fit into our paradigm as well.  We are at the point where we’d like to start sharing our library and aligners for testing with real genome centers.

Because read mapping is fast on GPU, we have recently started looking into reference-based compression schemes like CRAM – we are working on simple proof-of-concept for a GPU-accelerated CRAM compressor.

We have also been collaborating with the developers of the SeqAn library to implement GPU-accelerated versions of some of their computational primitives.

We would be interested in discussing possible collaborations, trying to understand where in bioinformatics pipelines GPUs could be beneficial, and generally updating you on our plans.



BOF03: Bioinformatics Support for *Molecular Ageing Research* based on Omics data
Leader: Georg Fuellen
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Affiliation: Rostock University Medical School, Institute for Biostatistics and Informatics in Medicine and Ageing Research -- IBIMA

Day: Monday July 22, 5:40 p.m. - 6:40 p.m.
Room: TBA

Slowing down the ageing process itself (as a kind of super-prevention scheme by e.g. diet or phyto- chemicals) could extend *healthspan* much more than any disease-specific intervention, and omics data become available *now* to start solid research.



BOF04: BioFabric BoF: (nodes == lines) -> !hairballs
Leader: Bill Longabaugh
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Affiliation: Institute for Systems Biology

Day: Monday July 22, 5:40 p.m. - 6:40 p.m.
Room: TBA


BioFabric (www.BioFabric.org) is a new network visualization tool that represents nodes as lines instead of as points, which creates highly organized, unambiguous, and scalable node-link diagrams. This BoF will provide users, potential users, and just the nodes-as-lines-curious to explore and discuss how BioFabric can help you to visualize your network data.



BOF05:Jalview and JABAWS users, developers, and educators
Leader: Geoff Barton
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Affiliation: University of Dundee, Scotland, United Kingdom

Day: Monday July 22, 5:40 p.m. - 6:40 p.m.
Room: TBA

This BoF is for delegates who employ JABAWS and Jalview in their teaching or research work, or are interested in detailed discussions about the development of these Java based tools for bioinformatics sequence analysis and visualisation.



BOF06: Unconferences/Unseminars in Bioinformatics - Sharing our Experiences
Leader: Aidan Budd
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Affiliation: European Molecular Biology Laboratory (EMBL), Heidelberg, Germany

Day: Monday July 22, 5:40 p.m. - 6:40 p.m.
Room: TBA

Join us for the first ever ISMB unseminar! A chance to learn more about, experience for the first time, and share your experiences of organising, participating, enjoying unconferences/unseminars, with their participant-focused, open, flexible structure, and focus on promoting interaction between participants. Tweet ideas for the BoF with #ismb2013unconf more info here http://ismb2013unconf.wordpress.com





ISCB 2013 Overton Prize Award

Goncalo AbecasisGoncalo Abecasis

Center for Statistical Genetics, Department of Biostatistics,
University of Michigan School of Public Health, United States

website: http://www.sph.umich.edu/csg/abecasis/

Presentation Title: Insights from Sequencing Thousands of Human Genomes

Presentation Time: Sunday, July 21 4:35 PM - 5:35 PM

 Room: Hall 1





Identifying and characterizing the genetic variants that affect human traits is one of the central objectives of human genetics. Ultimately, this aim will be achieved by examining the relationship between interesting traits and the complete genome sequences of many individuals. Whole genome re-sequencing of thousands of individuals remains challenging, but advances in laboratory methods and in statistical methodology have resulted in substantial progress in our understanding of complex disease biology.
Here, we discuss results of the first generation of large scale sequencing studies. I illustrate findings from analysis of sequence data in 1,000s of individuals and, in particular, on the insights from two studies where my group is actively involved, a case-control study of age-related macular degeneration and an ongoing population sequencing study in the island of Sardinia. Along the way, I will highlight analytical challenges and opportunities posed by next-generation sequence data - ranging from methods for the analysis of low-coverage data, to strategies for estimating individual ancestry using sequence data, to methods for combining the results of sequencing studies across samples.



Gonçalo Abecasis is the Felix Moore Collegiate Professor of Biostatistics at the University of Michigan School of Public Health, where he has been a faculty member since 2001. He has a Ph.D. in Human Genetics from the University of Oxford, where he worked with William Cookson and Lon Cardon.
Dr. Abecasis' research focuses on the development of statistical tools and computational methods that enable studies of genetic variation and its connections to human disease. Software and algorithms developed by Dr. Abecasis are used in human genetic studies around the world. He has made important contributions to our understanding of patterns of genetic variation across the genome, its relationship to a variety of complex traits and diseases, and developed algorithms that enable analysis of large challenging datasets. He is currently deploying next-generation sequencing technologies to study the genomes of thousands of individuals.

2013 ISCB Accomplishment by a Senior Scientist Award

David EisenbergDavid Eisenberg

UCLA-DOE Institute and Howard Hughes Medical Institute
UCLA, Los Angeles, CA

website: http://www.doe-mbi.ucla.edu/people/eisenberg

Presentation Title: Protein Interactions in Health and Disease

Presentation Time: Tuesday, July 23, 4:35 PM - 5:35 PM

 Room: Hall 1


To aid research on proteins and metabolism, we have set up several databases and servers, all available at www.doe-mbi.ucla.edu.  One is the Database of Interacting Proteins (DIP), a curated collection of experiments on protein interactions.  Another is ProLinks, a collection of functional linkages between proteins in many organisms, inferred from whole genome sequences.  A third is ZipperDB, a database containing predictions of fibril-forming proteins identified by the 3D Profile Method.

ZipperDB has enabled our efforts to determine more than 100 atomic structures of the ‘steric zipper’ spines of amyloid fibers.  These fibers are associated with dozens of fatal diseases, as well as numerous evolved protein functions.  Knowledge of these atomic structures has permitted the design of inhibitors of formation of fibers involved in Alzheimer’s Disease, HIV, and cancer.



As a Harvard undergraduate, David Eisenberg had the good fortune to be assigned to study with John T. Edsall, one of the pioneers of protein chemistry, who oriented him to his life’s work.  As a Rhodes Scholar at Oxford, Eisenberg earned a D.Phil. in theoretical chemistry for study with Charles Coulson on hydrogen bonding in ice. Returning to the States, Eisenberg worked as a postdoctoral fellow with Walter Kauzmann, the discoverer of the hydrophobic interaction.  Together they wrote a monograph, The Structure and Properties of Water, still in print after 44 years.  In further postdoctoral study at Caltech, Eisenberg learned X-ray crystallography.  Since 1969, Eisenberg has been on the faculty of UCLA, now as the Paul D. Boyer Professor of Biochemistry and Molecular Biology, Investigator of the Howard Hughes Medical Institute, and Co-Director of the Center for Global Mentoring.  Eisenberg now concentrates on proteins in the amyloid state.   He has coauthored a text Physical Chemistry for Students of the Life Sciences, as well as some 350 research papers and reviews, with over 50,000 Google Scholar citations.



2013 ISCB Fellows Keynote

Gary StormoGary Stormo
Department of Genetics, Center for Genome Sciences and Systems Biology
Washington University in St. Louis School of Medicine, United States

website: http://stormo.wustl.edu/

Presentation Title: Searching for Signals in Sequences

Presentation Time: Monday, July 22, 4:35 - 5:35

Room: Hall 1



DNA is an information carrying molecule, encoding not only for the RNAs and proteins that perform the functions necessary for cellular and organismal viability, but also encoding the instructions for when, where and under what conditions those functional molecules are expressed. Most of my career has been devoted to studying the signals, cis-regulatory elements, in DNA and RNA that controls various aspects of gene expression. This talk will provide some background on the nature of the signals we seek, some history of approaches to find them, how current technology facilitates the search and where I think the field is headed.


Gary Stormo is the Joseph Erlanger Professor in the Department of Genetics and the Center for Genome Sciences and Systems Biology at Washington University School of Medicine in St Louis. He received his B.S. degree in biology from the California Institute of Technology and his and Ph.D. in molecular biology from the University of Colorado at Boulder. He remained at the University of Colorado as a faculty member in the Department of Molecular, Cellular and Developmental Biology until joining the faculty at WUSM in 1999. Beginning with his graduate thesis work he has combined experimental and computational approaches to understanding gene regulation. Most of that work has focused on identifying, modeling and predicting regulatory sites in DNA and RNA and their contributions to regulatory networks that control gene expression in vivo.

Lior PachterLior Pachter
Department of Mathematics, Molecular & Cell Biology and Electrical Engineering & Computer Science
University of California, Berkeley, United States

website: http://math.berkeley.edu/~lpachter/


Presentation Title: Sequencing based functional genomics (analysis)

Presentation Time: Monday, July 22, 9:00 AM - 10:00 AM

Room: Hall 1



Sequence census methods couple high-throughput DNA sequencing to biochemical assays and are transforming standard functional genomics assays into powerful genome-wide probes of biochemical activity. We will survey the plethora of *-Seq assays that have been developed and describe examples of how computational advances are going hand-in-hand with the biotechnology to enable biological discovery.


I am a computational biologist working in genomics. My career began in comparative genomics, and initially I was interested in genome alignment, annotation, and the determination of conserved regions using phylogenetic methods. I contributed to the mouse, rat, chicken and fly genome sequencing consortia, and the ENCODE project. More recently I've become focused on functional genomics, which includes answering questions about the function and interaction of DNA, RNA and protein products. I'm particularly interested in applications of high-throughput sequencing to RNA biology.

I'm also interested in algorithms, statistical methodology, and mathematical foundations for computational genomics. These interests are reflected in my appointments across different departments and colleges: Mathematics, Molecular & Cell Biology, and Electrical Engineering & Computer Science. My group includes students and postdocs from Computer Science, Mathematics, Bioengineering, Molecular and Cell Biology and Statistics.


Carole GobleCarole Goble
Department of Computer Science
University of Manchester, United Kingdom

website: http://www.cs.man.ac.uk/~carole/index.html

Presentation Title: Results may vary: what is reproducible? why do open science and  who gets the credit?

View Presentation

Presentation Time: Tuesday, July 23, 9:00 AM - 10:00 AM

Room: Hall 1





How could we evaluate research and researchers? Reproducibility underpins the scientific method: at least in principle if not practice. The willing exchange of results and the transparent conduct of research can only be expected up to a point in a competitive environment. Contributions to science are acknowledged, but not if the credit is for data curation or software. From a bioinformatics view point, how far could our results be reproducible before the pain is just too high? Is open science a dangerous, utopian vision or a legitimate, feasible expectation? How do we move bioinformatics from one where results are post-hoc "made reproducible", to pre-hoc "born reproducible"? And why, in our computational information age, do we communicate results through fragmented, fixed documents rather than cohesive, versioned releases? I will explore these questions drawing on 20 years of experience in both the development of technical infrastructure for Life Science and the social infrastructure in which Life Science operates.


Carole Goble is a full professor in Computer Science at the University of Manchester, UK. She has an international reputation in Semantic Web, Distributed computing, and Social Computing for scientific collaboration. She is a member of the Software Sustainability Institute UK. She directs the myGrid project, which produces the widely-used open source Taverna workflow management system; myExperiment, a social web site for sharing scientific workflows; the Biocatalogue of web services for the life sciences; and the SEEK for storing, sharing and preserving Systems Biology outcomes.

In 2008 Carole was awarded the inaugural Microsoft Jim Gray award for outstanding contributions to e-Science. In 2010 she was elected a Fellow of the Royal Academy of Engineering. In 2012 she was nominated for the Benjamin Franklin award for open science in Biology.

Gil AstGil Ast
Chair, Department of Human Molecular Genetics & Biochemsitry
Sackler Medical School
Tel Aviv University, Israel

website: http://www.tau.ac.il/~gilast/

Presentation Title: How Chromatin organization and epigenetics talk with alternative splicing

Presentation Time: Sunday, July 21 9:00 AM - 10:00AM

 Room: Hall 1




The importance of RNA and chromatin in the multiple levels of regulation that ensure proper functioning of the eukaryotic transcriptome and proteome has been increasingly recognized in recent years. Converging lines of evidence have led to a clearer realization that many of these processes are interrelated. For example, there is continuous feed-forward crosstalk among the processes of chromatin organization, transcription, and pre-mRNA splicing. Furthermore, it has now become apparent that chromatin structure and epigenetic markers influence the recognition of exons and splice site choices. The multiple layers of regulation that function jointly in chromatin organization, transcription, and RNA processing will be presented.


The Ast's Group

Alternative splicing is a mechanism by which more than one mRNA transcripts are generated from the same mRNA precursor. Recent findings suggest that almost all the human genes undergo alternatively spliced, and we demonstrated that humans contain the highest level of alternative splicing. Alternative splicing can be specific to tissue type, environment or developmental stage. Splice variants have also been implicated in various diseases including cancer. Detection of these variants will enhance our understanding of the complexity of the human genome and provide disease-specific and prognostic biomarkers. Our group has made seminal contributions to our understanding of the complexity in genomic expression through alternative mRNA splicing and the involvement of this process in genetic disorders and cancer.

The broad focus of our research is on pre-mRNA splicing regulation and the importance of alternative splicing in generating transcriptomic diversity unique to our species. We also study the potential link between DNA packaging and splicing, and are interested in the effects nucleosomal positioning, specific histone modifications and other epigenetic characteristics have on pre-mRNA processing. An increasing body of evidence indicates that transcription and splicing are coupled and it is accepted that chromatin organization and DNA modification regulate transcription. Little is known, however, about the cross-talk between chromatin structure and splicing. We also study splicing-related genetic diseases like the neurodegenerative disease Familial Dysautonomia and the link between splicing and various cancer types. Finally, we study the role splicing plays in microRNA (miRNA) regulation as well.



ISMB/ECCB 2013 SIGs & Satellite Meetings


ISMB/ECCB 2013 will hold a number of one, two and three-day specialized meetings in computational biology. These meetings consist of Special Interest Group Meetings (SIGs) and Satellite Meetings (SMs) and will be held prior to the main conference. A SIG meeting is a one- or two-day focused workshop. It provides a broad and/or deep perspective on developments in a field of research, and is intended as a way to address a topic more extensively than can be done in the main conference. A Satellite Meeting is similar to a SIG meeting but is more of a mini-conference and is generally two or three days in duration. Satellite meetings are held in conjunction with ISMB/ECCB.

Program information and registration details are noted below. To inquire about the possibility of forming a new SIG for ISMB 2014 or beyond, please address your inquiry to This email address is being protected from spambots. You need JavaScript enabled to view it.


One-Day SIGs (Pre-conference) - Friday, July 19, 2013

Integrative RNA Biology - SIG (formerly Alternative Splicing)
NetBio SIG
Mass Spectrometry SIG (MS-SIG)

One-Day SIG (Pre-conference) - Saturday, July 20, 2013

Regulatory Genomics Special Interest Group - RegGenSIG

Automated Function Prediction

Two-Day SIG - Friday, July 19 and Saturday, July 20, 2013

BOSC:14th Annual Bioinformatics Open Source Conference
MLSB: Machine Learning in Systems Biology
HitSEQ: High Throughput Sequencing Algorithms & Applications


Satellite Meetings

3Dsig:Structural Bioinformatics & Computational Biophysics
Date: July 19 - 20, 2013
Start Time: 8:30 a.m - 6:00 p.m.
Room: Hall 14.2

3Dsig, a Satellite Meeting of the ISMB/ECCB conference, focused on structural bioinformatics and computational biophysics and has become the largest meeting in this growing field.

In addition to keynotes our diverse program will include talks selected from submitted abstracts, our traditional after dinner speaker, daily discussion on important topics to this community, laptop software demos and poster sessions. Simply put, 3DSIG is the most comprehensive conference in the field and should not be missed by anyone using macromolecular structure to computationally unravel the mysteries of living systems.

Over the years, 3DSig has brought the leaders of the field of Structural Bioinformatics and Computational Biophysics in an ideal environment for personal contacts and discussions. The list of past keynotes includes: Ivet Bahar, Nir Ben-Tal, Phil Bourne, James U. Bowie, Steven Brenner, Wah Chiu, Cyrus Chothia, Charlotte Deane, Arne Elofsson, Dmitri Frishman, Nick Grishin, Kevin Karplus, Amy E. Keating, Tanja Kortemme, Gunnar von Heijne, Barry Honig, David Jones, Thomas Lengauer, Michael Levitt, George I. Makhatadze, John Moult, Klaus Mueller, Ruth Nussinov, Christine Orengo, Burkhard Rost, Rob Russell, Andrej Sali, Jeffrey Saven, Tamar Schlick, Torsten Schwede, Luis Serrano, Brian Schoichet, Kim A. Sharp, Manfred Sippl, Michael Sternberg, Joel Sussman, Devarajan Thirumalai, Janet Thornton, Anna Tramontano, Ron Unger, Alfonso Valencia, Sandor Vajda, Rebecca Wade, Haim Wolfson.

Abstract submission deadline: April 30, 2013

Relevant topics include:
  • Application of structure to systems biology
  • Structure-based drug discovery including polypharmacology and network pharmacology.
  • Structure representation, classification and prediction.
  • Macromolecular assemblies.
  • Structural genomics.
  • 3D databases and data mining.
  • Molecular visualization.
  • Relevant methods of structure determination, particularly hybrid methods.
  • Structure-based function prediction.
  • Evolution Studied through Structures.
  • Docking, analysis, prediction and simulation of biomolecular interactions such as protein-protein, protein-ligand and protein-nucleic acid.
  • Prediction and analysis of protein domains.
  • Membrane protein structure analysis and prediction.
  • Protein dynamics and disorder
  • The structural basis of immunology.
We look forward to meeting you at 3Dsig

Program Chair
Philip E. Bourne
University of California San Diego
This email address is being protected from spambots. You need JavaScript enabled to view it.

Rafael Najmanovich
Université de Sherbrooke, Canada
This email address is being protected from spambots. You need JavaScript enabled to view it.

Ilan Samish
The Weizmann Institute
This email address is being protected from spambots. You need JavaScript enabled to view it.



CAMDA 2013 – Critical Assessment of Massive Data Analysis
URL: http://www.camda.info/
Date:  July 19 - 20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room:  43

Currently, the Big Data explosion is the grand challenge in life sciences. Analysing large data sets is emerging to one of the scientific key techniques in the post genomic era. Still the data analysis bottleneck prevents new biotechnologies from providing new medical and biological insights in a larger scale. This trend towards the need for analysing massive data sets is further accelerated by novel high throughput sequencing technologies and the increasing size of biomedical studies. CAMDA focuses on the analysis of the massive data sets in life sciences. It provides new approaches and solutions to the big data problem, presents new techniques in the field of bioinformatics, data analysis, and statistics for handling and processing large data sets.

CAMDA focuses on the specific challenges and opportunities in the analysis of the massive data sets that are increasingly produced in several fields of the life sciences. The conference offers researchers from the computer sciences, statistics, molecular biology, and other fields a unique opportunity to benefit from a critical comparative evaluation of the latest approaches in the analysis of life science's "Big Data".

This year, CAMDA's scientific committee set up two challenges

  1. the prediction of drug compatibility from an extremely large toxicogenomic data set, and
  2. the decoding of genomes from the Korean Personal Genome Project.


We cordially invite you to attend this year's CAMDA. See our Call for Papers, including the annual CAMDA challenge!

Submit at: https://www.easychair.org/account/signin.cgi?conf=camda2013

Confirmed keynotes:

Atul Butte, Stanford University School of Medicine, CA, USA
Nikolaus Rajewsky, Max-Delbrück-Center for Molecular Medicine, Berlin, Germany
Jun Wang, Beijing Genomics Institute (BGI), Shenzhen, China

Key dates:

Extended Abstract Proposals Due 20 May 2013
Abstract Deadline for Poster Submission 25 May 2013
Notification of Accepted Contributions 30 May 2013
Early Registration Closes 1 Jun 2013
CAMDA 2013 Conference 19–20 Jul 2013
ISMB/ECCB 2013 Conference 21–23 Jul 2013
Full Paper Submission 25 Aug 2013


Joaquin Dopazo, CIPF, Spain, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sepp Hochreiter, JKU Linz, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.

David Kreil, Boku University, Austria, This email address is being protected from spambots. You need JavaScript enabled to view it.

Simon Lin, Marshfield Clinic, U.S.A., This email address is being protected from spambots. You need JavaScript enabled to view it.


Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.



SIG Meetings

Integrative RNA Biology - SIG (Formerly Alternative Splicing-SIG)

URL: http://www.alternative-splicing.org/irb-sig-13/
Date:  July 19, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room: Hall 5

The meeting for Integrative RNA Biology is focused on deriving new RNA Biology using a combination of computational and experimental techniques. The meeting is designed to bring computational experts attending ISMB together with world experts in different aspects of RNA processing.

Many computational challenges are involved in the study of RNA, ranging from quantifying gene isoforms and secondary structure modelling, to detecting miRNA regulatory networks and deciphering splicing regulation.

RNA processing involves complex and highly regulated mechanisms that affect many biological processes, such as cell type differentiation, sex-determination, or apoptosis. One important component of RNA processing  is alternative splicing (AS), by which pre-RNA can be spliced differently to produce different mRNA isoforms. Other components involved in RNA processing that have gained much research attention include alternative polyadenylation (APA) and the expression of many non-coding RNAs, such as micro-RNAs (miRNAs), small-interfering RNAs (siRNAs), PIWI-interacting RNAs (piRNAs), or long nuclear RNAs.

While many of these phenomena have been studied separately, accumulating evidence now points towards the interplay between transcription, RNA processing, RNA turnover and the effects non-coding RNAs exert on these machineries. This interplay leads to a new, interconnected system view of gene expression regulation. In parallel, the advent of high-throughput methodologies enabled researchers to obtain genome-wide measurements of the make-up and the regulation of the transcriptome within a well-defined biological context. However, the complexity of these data also poses interpretation challenges, particularly when considering that the snapshot of the transcriptome that high-throughput methodologies permit us to obtain are the result of many integrated regulation processes.

In this meeting we aim to bring computational experts attending ISMB together with world experts in the fields of RNA processing and non-coding RNAs to discuss recent advances in RNA biology and related computational and experimental methodology. We hope the meeting will foster new interactions and help bridge the gap between researchers in the different fields.

Klemens Hertel , University of California, Irvine, United States,  This email address is being protected from spambots. You need JavaScript enabled to view it.
Yoseph Barash , University of Pennsylvania, United States This email address is being protected from spambots. You need JavaScript enabled to view it.
Eduardo Eyras, Pompeu Fabra University & ICREA, Spain, This email address is being protected from spambots. You need JavaScript enabled to view it.



Automated Function Prediction

URL: http://biofunctionprediction.org
Date:  July 20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room:  Hall 4


The availability of high-throughput experimental platforms for sequencing, mass-spectrometry proteomics, and structural genomics has resulted in a wealth of biological data. However, extracting meaningful information from these data is becoming increasingly difficult as both the number and the diversity of discovered sequences are increasing. This increase means that often-used annotation methods, such as homology transfer, are annotating less data. While the accuracy of homology transfer has been limited in the first place, this fact combined with the range of degrees of quality of experimental data suggests the need for developing advanced methods. In addition, there is a need for standardized annotation that could be incorporated into function annotation on a large scale. Finally, there is a need to assess the quality of the function prediction methods as well as usefulness of deployable tools. We almost certainly know the sequence, perhaps also the structure, and even some interaction partners of the target for next generation antibiotics or cancer treatment. We just did not recognize that target for what it is: it is currently annotated as “unknown function".

The mission of the Automated Function Prediction Special Interest Group (AFP-SIG) is to bring together computational and experimental biologists who are dealing with the important problem of gene and gene product functional annotation, to share ideas and create collaborations. As part of our goal to stimulate development of novel protein function prediction methods and their evaluation, we are conducting the Critical Assessment of protein Function Annotation or CAFA experiment.

About the CAFA experiment

The problem: There are far too many proteins in the databases for which the sequence and various other information are known, but the function is not. A major challenge in the field of bioinformatics is to predict the function of a protein from its sequence, structure, or other data. At the same time, how can we judge how well these function prediction algorithms are performing and whether they are useful for experimental scientists?

Our approach: The Critical Assessment of protein Function Annotation (CAFA) is a challenge designed to provide a large-scale assessment of computational methods dedicated to predicting protein function. The first CAFA challenge took place between September 2010 and January 2011 with an evaluation meeting held at AFP SIG during ISMB 2011 in Vienna. The experiment and the associated meeting were highly successful – resulting in 15 peer-reviewed publications. The next CAFA experiment will be announced at AFP SIG 2013. Among the new challenges for CAFA 2 are: the prediction of subcellular localization and the prediction of human phenotypes.

Important Dates

March 1, 2013 Call for talk and poster abstracts opens
April 20, 2013 Deadline for submitting abstracts
May 7, 2013 Notification of accepted talk and poster abstracts emailed to authors
July 20, 2013 Autormated Function prediction SIG at ISMB 2013


Follow developments on http://biofunctionprediction.org



Iddo Friedberg, Miami University; This email address is being protected from spambots. You need JavaScript enabled to view it.

Predrag Radivojac, Indiana University; This email address is being protected from spambots. You need JavaScript enabled to view it.

Sean Mooney, The Buck Institute for Research on Aging; This email address is being protected from spambots. You need JavaScript enabled to view it.


Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.



BioLINK: Linking Literature, Information and Knowledge for Biology Roles for text mining in biomedical knowledge discovery and translational medicine

URL: https://sites.google.com/site/biolinksig2013/
July 20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room Location:  Salon Koch 11/12

With the increasing availability of text data related to biology and medicine in the scientific literature, database annotations, the electronic health record, clinical trials data, and health information online, exciting opportunities arise to provide access to pertinent biomedical information and to advance biomedical knowledge. An evolving research direction is the integration of information from diverse data sources, including textual data, to support deeper understanding of biological systems, the genomic basis of disease, and genotype-phenotype relationships. This year's BioLINK SIG Workshop will focus on text-based applications which link between biological and clinical information. We will build on the topic of the well-attended 2011 special session on data integration, but shift the focus towards the use of text mining in applications that aim to further biological or medical understanding.

Key Dates (updated April 17)

April 17, 2013 Short and Long paper -- Abstract uploaded to submission site
April 21, 2013 Short and Long paper -- Full paper due on submission site
May 17, 2013 Notifications for short and full papers
May 20, 2013 Poster abstracts due
May 24, 2013 Final paper versions due


Keynote speaker:

Lars Juhls Jensen, Professor, Group Leader in Disease Systems Biology NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Denmark.

  • Christian Blaschke, Spanish Institute of Bioinformatics, Spain;
  • Lynette Hirschman, MITRE Corporation, USA; This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Hagit Shatkay, Dept. of Computer and Information Sciences, Center for Bioinformatics and Computational Biology, University of Delaware, USA
  • Alfonso Valencia, Spanish National Cancer Research Centre, Spain;
  • Karin Verspoor, National Information and Communication Technology Australia (NICTA), Australia; This email address is being protected from spambots. You need JavaScript enabled to view it.

Contact:  This email address is being protected from spambots. You need JavaScript enabled to view it.



July 20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Hall 5

The Bio-Ontologies SIG provides a forum for discussion of the latest and most innovative research in the appplication of ontologies and more generally the organisation, presentation and dissemination of knowledge in biomedicine and the life sciences. Bio-Ontologies has existed as a SIG at ISMB for 15 years, making it one of the longest running.

Key Dates

April 12th, 2013 Submissions Due
May 10th, 2013 Notifications
May 17th, 2013 Final Version Due
Papers are invited in areas, such as the applications of bio-ontologies, newly developed bio-ontologies, and the use of ontologies in data sharing standards. Example topics include (but not limited to):
Applications of ontologies in bioinformatics
  • Hypothesis Testing Platforms
  • Use of Ontologies in Data Standards
  • "Flash updates" on Newly Developed or Existing Bio-Ontologies
  • Bio-Curation Platforms
  • Automated Annotation Pipelines
  • Efforts using ontologies for Bio-NLP or Information Retrieval
  • Semantic Web Enabled Applications
Advances in development of biomedical ontologies
  • Collaborative Ontology Authoring and Peer-Review Mechanisms
  • Automated Ontology Learning
  • Mapping between Ontologies 
  •  Research in Ontology Evaluation
  • Using games for Ontology review and evaluation


Nigam Shah, Stanford University, United States, This email address is being protected from spambots. You need JavaScript enabled to view it.
Susanna-Assunta Sansone, University of Oxford, United Kingdom, This email address is being protected from spambots. You need JavaScript enabled to view it.
Michel Dumontier, Carleton University, Canada, This email address is being protected from spambots. You need JavaScript enabled to view it.
Larisa Soldatova, Brunel University, United Kingdom,This email address is being protected from spambots. You need JavaScript enabled to view it.

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.



Regulatory Genomics Special Interest Group - RegGenSIG

URL: http://light.ece.ohio.edu/~reggen/2013/
Date: July 20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room: Hall 10

Regulatory genomics involves the study of the genomic ‘control system,’ which determines how, when and where to activate the ‘blueprint’ encoded in the genome. Regulatory genomics is the topic of much research activity worldwide. Since computational methods are important in the study of gene regulation, the RegGenSIG meeting focuses on bioinformatics for regulatory genomics. An important goal of the meeting is to foster a collaborative community wherein scientists convene to solve difficult research problems in all areas of computational regulatory genomics.

RegGenSIG will include presentations and posters that cover the broad spectrum of topics important to regulatory genomics research. The goal is to bring together experts in experimental methods and computational methods to consider sequence-based reconstruction of regulatory networks and prediction of gene expression. Topics to be addressed in the SIG include the following:

  • inference of gene regulatory networks;
  • utilization of information pertaining to epigenetics, chromatin structure, and histone modifications;
  • determination of the roles of regulatory RNAs;
  • prediction of transcriptional regulation from RNA-seq data and ChIP-seq data;
  • pattern discovery in sequences; and
  • sequence based modeling of gene expression.


To make an oral presentation at RegGenSIG, extended abstracts (2-3 pages) should be submitted by April 27, 2013. Based on the submitted abstracts, each author will be invited to make either an oral presentation or a poster presentation. Authors will be notified by May 11, 2013.

For poster presentations, authors should submit a 250 word abstract no later than May 18, 2013. Author notification will occur no later than May 25, 2013.


April 27, 2013

Due date for extended abstracts (2-3 pages) for oral presentations

May 11, 2013

Author notification for oral presentations

May 18, 2013

Due date for short abstracts (250 words) for poster presentations

May 25, 2013

Author notification for poster presentations

June 1, 2013

Early registration cut-off date

July 20, 2013

RegGenSIG meeting


  • Finn Drablos, Norwegian University of Science and Technology, Norway
  • Eileen Furlong, EMBL, Germany
  • Saurabh Sinha, University of Illinois, USA
  • Lonnie Welch, Ohio University, USA


  • Tim Bailey, University of Queensland, Australia
  • Harmen Bussemaker, Columbia University
  • Andrea Califano, Columbia University
  • Julio Collado-Vides, National Autonomous University of Mexico
  • Laura Elnitski, National Human Genome Research Institute, USA
  • Ana Teresa Freitas, Technical University of Lisbon, Portugal
  • Roderic Guigo, Centre for Genomic Regulation, Spain
  • Alexander Hartemink, Duke University
  • Manolis Kellis, MIT, USA (pending)
  • Kathleen Marchal, Professor University of Ghent and K. U. Leuven, Belgium
  • William Noble, University of Washington (tentative)
  • Isidore Rigoutsos, Thomas Jefferson University, USA
  • Sophie Schbath, Institut National de la Recherché Agronomique, France
  • Gustavo Stolovitzky, IBM
  • Gary Stormo, Washington University, USA
  • Kai Tan, University of Iowa, USA
  • Andrei Thomas-Tikhonenko, University of Pennsylvania
  • Esko Ukkonen, University of Helsinki, Finland
  • Martin Vingron, Max Planck Institute for Molecular Genetics, Germany
  • Weixiong Zhang, Washington University, USA
  • Igor Zwir, University of Granada

RegGenSIG is an activity of the ISCB Special Interest Group for Regulatory Systems Genomics, (http://www.iscb.org/iscb-sigs-regsys), a community of shared interest that has multiple activities and interactions throughout the year, rather than solely meeting during the ISMB conference. An important goal of the SIG is to foster a topically-focused collaborative community wherein scientists communicate with one another on research problems and/or opportunities in the area of computational biology as it pertains to regulatory and systems genomics. The SIG holds two meetings per year, (1) RegGenSIGand (2) The ISCB RECOMB Conference on Regulatory and Systems Genomics and DREAM Challenges (http://www.iscb.org/recomb-regsysgen2013).


BOSC: The 14th Annual Bioinformatics Open Source Conference

URL: http://www.open-bio.org/wiki/BOSC_2013
Date: Friday, July 19 - Saturday, July 20
Start time:
8:30 a.m - 6:00 p.m.
Room: Hall 9

The Bioinformatics Open Source Conference (BOSC) is sponsored by the Open Bioinformatics Foundation (O|B|F), a non-profit group dedicated to promoting the practice and philosophy of open source software development within the biological research community. BOSC covers the wide range of open source bioinformatics software packages that have been successfully developed and adopted by the community, and encompasses the growing movement of Open Science, with its focus on transparency, reproducibility, and data provenance. We welcome submissions relating to all aspects of open source bioinformatics software and open science, including new computational methods, reusable software components, visualization, interoperability, and other approaches that help to advance research in the biomolecular sciences. Two full days of talks, posters, panel discussions, and informal discussion groups will enable BOSC attendees to interact with other developers and share ideas and code, as well as learning about some of the latest developments in the field of open source bioinformatics.

Key dates:

March 12, 2103 Call for abstracts opens
April 12, 2013 Abstracts due
July 19-20, 2013 BOSC 2013
Session topics:
  • Cloud and Parallel Computing
  • Genome-scale Data Management
  • Software Interoperability
  • Open Science and Reproducible Research
  • Visualization
  • Bioinformatics Open Source Project Updates

  • Nomi L. Harris (Lawrence Berkeley National Laboratory, USA)
  • Jan Aerts (Katholieke Universiteit Leuven, Belgium)
  • Brad Chapman (Harvard School of Public Health, USA)
  • Peter Cock (James Hutton Institute, UK)
  • Christopher Fields (National Center for Supercomputing Applications, USA)
  • Jeremy Goecks (Emory University, USA)
  • Hans-Rudolf Hotz (Friedrich Miescher Institute for Biomedical Research, Switzerland)
  • Hilmar Lapp (National Evolutionary Synthesis Center, USA)




URL: http://nrnb.org/netbiosig
Date: Friday July 19, 2013
Start time: 8:30 a.m - 6:00 p.m.

Room: Hall 10

Biological networks provide a context for integrating and analyzing massive amounts of diverse kinds of measurement data, such as gene expression data from microarray experiments, protein abundance data from mass spectrometry, and genetic data from association studies. Network theory provides powerful analysis techniques that can be used to develop insights into large amounts of data. Our use of networks in biology has changed from purely representational and didactic purposes to more analytic and hypothesis formulation purposes. This shift has resulted, in part, from the confluence of advances in computation, informatics, and high throughput techniques in systems biology.
For interactions amongst thousands of genes, proteins, and metabolites, these networks can be quite large and complex. Network analysis tools can manage this complexity, for example by identifying clusters of activity – regions of high interconnectivity that are also characterized by high gene expression levels. The most highly connected molecules or hubs of such regions may be control points for the network; modulating their activity may influence the activity of many other molecules. With knowledge of the structure and behavior of biological networks, biologists can identify intervention points for drugs and therapeutics, limit adverse side-effects of treatments, and infer predisposition to disease.
We are soliciting abstracts that cover new developments in network biology. The SIG will focus on two major areas: (1) the development of network-related tools and resources, and (2) the application of network analysis and visualization in the study of biology, synthetic biology and medicine. The SIG will provide a unique meeting space for tool developers and users in the field of network biology. Through these complementary lenses, the SIG will bring into focus the current state of the field, its future promise and how to get there.
Confirmed Invited Speakers:
  • Natasa Przulj - Computational Systems Biology - Imperial College London, UK
  • Esti Yeger-Lotem - Network Biology of Human Disease - Ben-Gurion University of the Negev, Israel
  • Michael Schroeder - Drug Repositioning with Networks - Biotechnology Center, TU Desden, Germany
  • Benno Schwikowski - Network Inference, CYNI - Pasteur Institute, France
  • Stefan Schuster - In silico detection of hitherto unknown pathways in metabolic networks - FSU Jena, Germany
Alexander Pico, Gladstone Institutes, United States,This email address is being protected from spambots. You need JavaScript enabled to view it.
Scooter Morris, University of California, San Francisco, United States, This email address is being protected from spambots. You need JavaScript enabled to view it.
Allan Kuchinsky, Agilent Technologies, United States, This email address is being protected from spambots. You need JavaScript enabled to view it.
Gary Bader, University of Toronto, Canada, This email address is being protected from spambots. You need JavaScript enabled to view it.
Mario Albrecht, Max Planck Institut, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Natasa Przulj, Imperial College London, United Kingdom, This email address is being protected from spambots. You need JavaScript enabled to view it.
Esti Yeger Lotem, National Institute for Biotechnology in the Negev, Israel, This email address is being protected from spambots. You need JavaScript enabled to view it.


Machine Learning in Systems Biology (MLSB)

URL: http://www.mlsb.cc
Date: July 19-20, 2013
Start time: 8:30 a.m - 6:00 p.m.
Room Location: Hall 8

Molecular biology and all the biomedical sciences are undergoing a true revolution as a result of the emergence and growing impact of a series of new disciplines/tools sharing the "-omics" suffix in their name. These include in particular genomics, transcriptomics, proteomics and metabolomics, devoted respectively to the examination of the entire systems of genes, transcripts, proteins and metabolites present in a given cell or tissue type.

The availability of these new, highly effective tools for biological exploration is dramatically changing the way one performs research in at least two respects. First, the amount of available experimental data is not a limiting factor any more; on the contrary, there is a plethora of it. Given the research question, the challenge has shifted towards identifying the relevant pieces of information and making sense out of it (a "data mining" issue). Second, rather than focus on components in isolation, we can now try to understand how biological systems behave as a result of the integration and interaction between the individual components that one can now monitor simultaneously (so called "systems biology").

Taking advantage of this wealth of "omics" information has become a condition sine qua non for whoever ambitions to remain competitive in molecular biology and in the biomedical sciences in general. Machine learning naturally appears as one of the main drivers of progress in this context, where most of the targets of interest deal with complex structured objects: sequences, 2D and 3D structures or interaction networks. At the same time bioinformatics and systems biology have already induced significant new developments of general interest in machine learning, for example in the context of learning with structured data, graph inference, semi-supervised learning, system identification, and novel combinations of optimization and learning algorithms.

MLSB13, the Seventh International Workshop on Machine Learning in Systems Biology, is a satellite of the ISMB 2013 conference. It aims to contribute to the cross-fertilization between the research in machine learning methods and their applications to systems biology by bringing together method developers and experimentalists. We are solliciting submissions bringing forward methods for discovering complex structures (e.g. interaction networks, molecule structures) and methods supporting genome-wide data analysis

Please see the workshop website http://www.mlsb.cc for more details.

Organizers :

Uwe Ohler, Berlin Institute for Molecular Systems Biology / Max Delbrueck Center, Germany, This email address is being protected from spambots. You need JavaScript enabled to view it.
Jean-Philippe Vert, Institut Curie and Mines ParisTech, France, This email address is being protected from spambots. You need JavaScript enabled to view it.



Mass Spectrometry SIG (MS-SIG)

URL: http://igenomed2.stanford.edu/Proteomics2013_mssig/
Date: Friday July 19, 2013
Start time: 8:30 a.m. - 6:00 p.m.
Room: 44

We invite you to participate at our 2nd Mass Spectrometry Special Interest Group (MS-SIG) on July 19, 2013, in Berlin.  At MS-SIG 2013, we will discuss the following topics:

1) Bioinformatics challenges in high-throughput proteomics,
2) Omics data integration, and
3) Proteomics application in biology and medicine.

Confirmed invited speakers:
Jürgen Cox (Max Planck Institute of Biochemistry)
Oliver Kohlbacher (Eberhard Karls University)
Juri Rappsilber (University of Edinburgh)
Julia Chamot-Rooke (Laboratoire des Mécanismes Réactionnels)
Henning Hermjakob (European Bioinformatics Institute)
Olga Vitek (Purdue University)
Mikhail Savitski (Cellzome)
Lars Malmstrom (ETH Zurich)
Lukas Käll (the Royal
Institute of Technology, Sweden)

Our meeting will contain three portions: oral presentation, panel discussion, and poster presentation. We invite abstract submissions on a wide range of topics about mass spectrometry data analysis and Omics data integration. The poster session will provide an opportunity to present your work in an informal setting. We will also have a limited number of talks selected from abstracts slots in the program.

Key Dates:
1st abstract deadline: 03/15/13 (Friday)
1st notification date: 03/22/13 (Friday)
2nd abstract deadline: 05/13/13 (Monday)
2nd notification date: 05/20/13 (Monday)

Wenzhong Xiao, Massachusetts General Hospital and Harvard Medical School
Soyoung Ryu, Stanford University
Samuel Payne, Pacific Northwest National Laboratory
Christoph Schaab, Max Planck Institute of Biochemistry



HiTSEQ 2013: High Throughput Sequencing Algorithms & Applications

URL: http://hitseq.org
Date: Friday July 19-20, 2013
Start time:  8:30 AM - 6:00 PM
Room: Hall 7

HiTSeq is an ISMB/ECCB 2013 special interest group satellite conference devoted to the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) data. It provides a forum for in depth presentations of novel algorithms, analysis methods, and applications in multiple areas of biology that HTS is transforming. HiTSeq seeks full papers submissions to be peer-reviewed. If accepted, these contributions will be presented at the conference and published on a companion volume edited by the Bioinformatics journal. Short abstract submissions will be also accepted for either brief oral presentations or posters.

 HiTSeq 2013 will also host three keynotes by leaders in the field, and two topical sessions on Human microbiome analysis, and cancer genomics. Keynote speakers for 2013 include Prof. George Weinstock, Associate Director of The Genome Institute at Washington University, and Dr. Richard Durbin, Joint Head of Human Genetics at the Wellcome Trust Sanger Institute.



  • Detecting Genome variation
  • Transcriptome Analysis
  • Epigenomics and chromatin regulation
  • Clinical genomics
  • Cancer genomics
  • Metagenomics
  • Human Microbiome
  • Analysis of 3rd and 4th generation sequencing platforms data


We are soliciting high-quality papers on any of the topics of interest that will go through rigorous peer-review. All manuscripts should be submitted via the Bioinformatics online submission system at http://mc.manuscriptcentral.com/bioinformatics. During submission please specify HiTSeq as one of the keywords, and include a cover letter stating that the manuscript be considered for the HiTSeq conference.

Simultaneously HiTSeq also allows for the submission of abstracts, which will be evaluated independently for the conference proceedings. Abstracts for consideration should be one page and submitted by e-mail to This email address is being protected from spambots. You need JavaScript enabled to view it.. The final decisions whether each paper or abstract is presented as a talk or a poster will be made and communicated to authors by May 31.

Key Dates

  • March 17 – Full paper submissions
  • March 25 – Paper author notifications
  • May 13 – Abstract submissions
  • May 31 – Abstract presentation decisions
  • June 7 – Early registration ends
  • July 19-20 – Conference program



Francisco M. De La Vega, D.Sc.
Real Time Genomics, Inc. San Bruno, CA, USA
Francisco {at} realtimegenomics.com

Dirk J. Evers, Ph.D.
New York Genome Center. New York, NY, USA
Djevers {at} nygenome.org

Gunnar Rätsch, Ph.D.
Memorial Sloan-Kettering Cancer Center. New York, NY, USA
Ratschg {at} mskcc.org

Sohrab Shah, Ph.D.
BC Cancer Agency. Vancouver BC, Canada
Sshah {at} bccrc.ca


For more information, please visit the SIG website at http://hitseq.org




URL: http://snpsig.biofold.org/
Date: Friday July 19, 2013
Start time: 8:30 AM - 6:00 PM
Room:  Hall 4

The primary goal of the SNP-SIG is to outline and discuss the recent advances in the methodology for the annotation and analysis of genomic variation data.

SNPs are generally very interesting in the context of their phenotypic manifestations. The discrepancy between the significant availability of SNP data and the current lack of its interpretation requires the development of methods for the annotation/prediction of the SNP impact. Direct-to-consumer (DTC) companies, such as 23andMe and Navigenics, offer DNA tests to provide insight on the genetic traits. In the near future the analysis of genetic variation will be a key factor for the understanding of the information encoded in the genome

The SNP-SIG provides a forum for the organization of a research network facilitating the exchange of ideas and the establishment of new collaborations bringing together varying expertise. It will thus support the unprecedented collaborative effort to manage the complexity of the analysis and evaluation of genetic variation.

The SIG will be divided into two sessions - "SNPs as markers: evolution, populations, GWAS" and "SNPs as effectors: function, structure, and regulation". For detailed information please see the SIG website.

We are interested in attracting submissions describing original work in all the fields of genomic variation research including, but not limited to:

  • Databases, data mining algorithms and visualization tools for SNP analysis.
  • Methods for predicting regulatory/structural/functional impacts of SNPs
  • Personal Genomics, GWAS studies and SNP prioritization
  • Population genomics and phylogenetic analysis

Poster Abstract submissions: March 22nd, 2013 URL: http://snp-sig.biofold.org/pa.html
Presentation Proposal submissions: March 22nd, 2013 URL: https://www.easychair.org/conferences/?conf=snpsigismbeccb2013

Yana Bromberg, Rutgers University, United States, This email address is being protected from spambots. You need JavaScript enabled to view it.
Emidio Capriotti, University of Alabama at Birmingham, United States, This email address is being protected from spambots. You need JavaScript enabled to view it.

Key Dates

  • March 22 – Poster abstract submission
  • March 22 – Presentation proposal submission
  • March 29 – Poster author notification
  • April 19 – Presentation proposal author notification
  • June 7 – Early registration end
  • July 19 – Conference program

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