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Abstracts

Call for Abstracts (closed) – ISMB 2022
Call for Late Posters/CAMDA opens April 25

Abstracts – Talks and Posters: About

We invite abstracts for research that is topical to bioinformatics and computational biology, which is in progress (unpublished, formerly Late-Breaking Research) or previously published within the last 18 months (previously Highlights Track) for consideration for oral and/or poster presentation.

Your abstract should be submitted to the Communities of Special Interest (COSI) Track that most accurately reflects the area of the work. (You will have the option to identify two other COSI tracks that may also be suited to your research area during your submission). You can learn more about COSIs here.

Talks and posters are organized according to scientific topics which are covered by the COSIs listed below. Please note, abstracts are not limited to COSI topics and if the topic of your submission falls outside the listed COSIs you can choose the "General Computational Biology" area. Your abstract should convey a scientific result and should not be an advertisement for any commercial software package.

Multiple talks:
The same talk is not permitted to be given more than once as an oral presentation at ISMB 2022. Research may presented as both a talk and poster. Having the same person deliver two (or more) different talks is possible (and not prohibited), but it is not encouraged. This allows for many people from one lab to present the work of the lab. A presenting author may present more than one poster although not in the same Poster session we encourage labs to involve multiple attendees.

All presentations for ISMB 2022 will presented live regardless if you are participating in-person from Madison or virtually. While many presenters will be in-person in Madison, those unable to travel will be presented live stream (zoom) and presented live through the conference platform and streamed into the Madison presentation room.

All presenters will be required to provide a pre-recorded talk for the virtual platform library in advance of the conference. The pre-recorded talk will be available shortly after the live presentation to provide faster and more seamless access to the conference content for virtual participants.

Abstract Submission Key Dates
Monday, January 24, 2022 Call for Abstracts Opens
Thursday, April 21, 2022 Abstracts Submission Deadline
(closes at 11:59 p.m. April 21, Any Time Zone)
Monday, April 25, 2022 Late Posters Submissions Open
Thursday, May 12, 2022 Talk and/or Poster Acceptance Notifications
Friday, May 20, 2022 CAMDA Extended Abstracts Deadline (updated May 11)
Thursday, May 19, 2022 Late Posters Submissions Deadline
(closes at 11:59 p.m. May 19, Any Time Zone)
Thursday, May 26, 2022 Late Posters Acceptance Notifications
Thursday, May 26, 2022 CAMDA Acceptance Notification
Monday, June 13 Last day for Presenters to have completed release forms, confirmation of participation (form sent by ISMB)
Monday, June 13 Last day for Presenting Authors and Poster Authors registration to be completed
Thursday, June 30, 2022 Speaker to upload videos through delegate profile on conference platform beginning June 30 and no later than July 7. Videos become part of the conference library. 
Presentations not uploaded in advance will not be guaranteed to be part of the conference on-demand library.
Thursday, June 30, 2022 Poster presentations videos and details uploaded through accepted poster delegate profile on conference platform beginning June 30 and no later than July 7.

Tracks: Communities of Special Interest (COSIs)


3DSIGBio-Ontologies BIOINFO-COREBioVisBOSC: Bioinformatics Open Source ConferenceCAMDACompMSEducationEvolution and Comparative GenomicsFunctionHitSeqiRNAMLCSBMICROBIOMENetBioRegSys SysModText MiningTransMedVarIGeneral Computational BiologyEquity-focused Research

Special Session: Computational Immunology (Poster Only)Special Session: Digital Agriculture (Posters Only)Special Session: Genome Privacy and SecuritySustainability research in computational biology - Posters Only

3DSIG: Structural Bioinformatics and Computational Biophysics

Abstract Area Chairs:
Douglas Pires, The University of Melbourne, Australia
Rafael Najmanovich, Université de Montreal, Canada
It is impossible to fully understand biological systems without understanding the 3D structure of their constituting parts and their interactions. As such the topics relevant for 3DSIG are wide and include, but are not restricted to Structure-based drug discovery including polypharmacology and network pharmacology; Structure representation, classification and prediction;
Structure-based function prediction; Docking, analysis, prediction and simulation of biomolecular interactions such as protein-protein, protein-ligand and protein-nucleic-acid; Protein dynamics and disorder; Evolution studied through structures; Application of structure to systems biology; Macromolecular assemblies; Structural genomics; 3D databases and data mining; Molecular visualization; Relevant methods of structure determination particularly hybrid methods; Prediction and analysis of protein domains; Membrane protein structure analysis and prediction; The structural basis of immunology.
Bio-Ontologies

Abstract Area Chairs:
Tiffany Callahan, Columbia University, United States
Robert Hoehndorf, King Abdullah University of Science and Technology, Saudi Arabia

Learn more about the Bio-Ontologies here
Bio-Ontologies Community of Special Interest Group (COSI) covers the
latest and most innovative research in the application of ontologies,
the organisation and dissemination of knowledge, and the development and
application of knowledge-based methods in biomedicine and life sciences.
Bio-Ontologies provides a vibrant environment for reporting novel methods and sharing experiences on the construction and application of ontologies in health care and the life sciences. The informal nature of the COSI offers a constructive environment to nurture discussion of innovative and scientifically sound work that range from preliminary to completed, from both young and experienced investigators alike. Bio-Ontologies participants also benefit from a strongly interdisciplinary setting, where ISMB attendees intermingle with members from American Medical Informatics Association (AMIA) and the W3C’s Healthcare and Life Sciences interest group (HCLSIG), thereby increasing impact through broader dissemination and enabling new and exceptional collaborations.
BIOINFO-CORE

Abstract Area Chairs:
Madelaine Gogol, Stowers Institute, United States
Rodrigo Ortega Polo, Agriculture and Agri-Food Canada
Alberto Riva, University of Florida, United States

Learn more about Bioinfo-core here
Bioinfo-core is a worldwide body of people that manage or staff bioinformatics cores within organizations of all types including academia, academic medical centers, medical schools, biotechs and pharmas.
The major goal of this COSI is to offer a community to people who manage and staff bioinformatics cores around the world. Topics of interest to this group for our ISMB workshop include topics that core members would find interesting or useful. This includes but is not limited to: management topics relevant to cores, core formation and setup, workflow development, reproducibility, best practices, training, or exploring analysis of new types of data.
BOSC: Bioinformatics Open Source Conference

Abstract Area Chairs:
Nomi L. Harris (Chair), Lawrence Berkeley National Laboratory, United States
Karsten Hokamp, Trinity College Dublin, Ireland
Hervé Ménager, Institut Pasteur, France
Monica Munoz-Torres, University of Colorado Anschutz Medical Campus, United States
Deepak Unni, European Molecular Biology Laboratory, Heidelberg, Germany
Nicole Vasilevsky, University of Colorado Anschutz Medical Campus, United States
Jason Williams, Cold Spring Harbor Laboratory, United States
Peter Cock (ex officio, Open Bioinformatics Foundation (OBF), United Kingdom

Learn more about BOSC here

BOSC covers all aspects of open science / open source bioinformatics, including standards and ontologies; approaches that promote open science and sharing of data, results and software; bioinformatics tools and libraries; and ways to grow open source communities while promoting diversity within them.
Launched in 2000 and held yearly since then, BOSC is organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community.
Keywords: Open source; Open science; Open data; Reproducible research; Interoperability; Data science; Workflows; Translational bioinformatics; Diversifying bioinformatics communities
You can learn more about the BOSC COSI here.
BioVis: Biological Data Visualization

Abstract Area Chairs:
Jan Byska, Masaryk University, Czech Republic and University of Bergen, Norway
Heba Sailem, University of Oxford, United Kingdom
Qianwen Wang, Harvard University, United States

Learn more about the BioVis COSI here

The BioVis track aims to educate, inspire, and engage bioinformatics and biology researchers in state-of-the-art visualization research and visualization researchers in problems in biological data visualization.
The rapid adoption of data-intensive biology approaches creates enormous challenges for computational visualization techniques, which are needed to enable researchers to gain insight from their large and highly complex data sets. The goal of this session is to bring together researchers from the visualization, bioinformatics, and biology communities with the purpose of educating, inspiring, and engaging bioinformatics and biology researchers in state-of-the-art visualization research, as well as visualization researchers in problems in biological data visualization.

Keywords: Visualisation, Visual Analytics, Education
CAMDA: Critical Assessment of Massive Data Analysis

Abstract Area Chairs:
Joaquin Dopazo,
Fundación Progreso y Salud, Spain
David Kreil
, Boku University Vienna, Austria
Paweł P Łabaj, Austrian Academy of Sciences, and Jagiellonian University, Poland
Wenzhong Xiao, Harvard Medical School, United States

(PLEASE note: CAMDA submitters should include a 3-5 page long abstract PDF)

Learn more about the CAMDA COSI here.
The large, complex data sets for the Critical Assessment of Massive Data Analysis (CAMDA) contest include built-in truths for calibration. In an open-ended competition, however, both seasoned researchers and cunning students push the boundaries of our field, with unexpected questions or angles of approach often bringing the most impressive advances.
The CAMDA track highlights and compares the latest methods and results in an international data analysis contest, with this year's topics including: (1) a cancer prognosis data-integration challenge, now with RNA-seq reads for multiple cancer types introducing 300Mb of new human genomic sequence, (2) a CMap drug safety challenge of comparing / integrating multi-track responses of multiple cell lines for predicting the severity of drug induced liver injury in humans from a range of cell line assays, and (3) a meta-genomics geolocation challenge of constructing multi-source microbiome fingerprints in the context of climate data and predicting the geographical origin or ecological niche of mystery samples.
CompMS: Computational Mass Spectrometry

Abstract Area Chairs:
Wout Bittremieux, University of California San Diego, United States
Isabell Bludau, Max Planck Institute of Biochemistry, Germany
Lindsay Pino, Talus Bio, United States
Timo Sachsenberg, University of Tübingen, Germany

Learn more about the CompMS COSI here.
The CompMS group promotes the efficient, high quality analysis of mass spectrometry data. The CompMS initiative covers various computational mass spectrometry application domains, including proteomics, metabolomics, and lipidomics.
Education: Computational Biology Education

Abstract Area Chair:
Wai Keat Yam, International Medical University, Malaysia

Learn more about the Education COSI here.

Education-COSI focuses on bioinformatics and computational biology education and training across the life sciences.
A major goal of this COSI is to foster a mutually supportive, collaborative community in which bioscientists can share bioinformatics education and training resources and experiences, and facilitate the development of education programs, courses, curricula, etc., and teaching tools and methods.
Keywords: education, training, training resources, curricula, competencies
Evolution and Comparative Genomics

Abstract Area Chairs:
Edward Braun, University of Florida, United States
Wataru Iwasaki, University of Tokyo, Japan
Giltae Song, Pusan National University, Korea

Learn more about the EvolCompGen COSI here
Evolution and comparative genomics are deeply intertwined with computational biology. Computational evolutionary methods, such as phylogenetic inference methods or multiple sequence alignment are widely used, yet remain far from “solved” and are indeed intense areas of research.
At the same time, evolutionary and comparative genomics are inherently “transversal” disciplines in that work in many other biological areas of research have some evolutionary component (e.g. cancer genomics, epidemiology, toxicology, population genetics, functional genomics, structural biology just to name a few). The scope of this COSI is intentionally kept broad. The track will feature a mix of proceedings, highlight, and invited talks. Priority will be given to contributions which are relevant to more than a single area of application, or to contributions which are not covered by more specialised COSIs.

Keywords: Evolution, phylogeny, phylogenomics, comparative genomics, genome rearrangements, orthology, paralogy, recombination, lateral gene transfer, genome variation, population genomics, comparative epigenomics, epidemiology, cancer evolution genomics, genome annotation
Function: Gene and Protein Function Annotation

Abstract Area Chairs:
Dukka KC, Michigan Technological University, United States
Iddo Friedberg
, Iowa State University, United States
Kim Reynolds, University of Texas Southwestern Medical Center, United States
Mark Wass, University of Kent, United Kingdom

Learn more about the Function COSI here
The mission of the Function Community of Special Interest (Function-COSI) is to bring together computational biologists, experimental biologists, biocurators, and others who are dealing with the important problem of gene and gene product function prediction, to share ideas and create collaborations.
The Function COSI features the Critical Assessment of Function Annotation, an ongoing community challenge aimed at improving methods for protein function prediction. The Function-COSI holds annual meetings alongside ISMB. Also, we are conducting the multi-year Critical Assessment of protein Function Annotation, or CAFA, experiment.

Keywords: Protein function prediction, machine learning, performance assessment,
HitSeq: High-throughput Sequencing

Abstract Area Chairs:
Can Alkan, Bilkent University, Turkey
Christina Boucher, University of Florida, United States
Ana Conesa, University of Florida, United States
Francisco M. De La Vega, Stanford University, United States
Dirk Evers, Dr. Dirk Evers Consulting, Germany
Birte Kehr, Universitätsklinikum Regensburg, Germany
Kjong Lehmann, ETH-Zürich, Switzerland

Learn more about the HiTSeq COSI here
HiTSeq is a community of special interest devoted to the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) data. Sessions will be devoted to discussing the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) datasets and will provide a forum for in-depth presentations of the methods and discussions among the academic and industry scientists working in this field.
We seek contributions on any topic involving HTS data analysis including: genome assembly and haplotype phasing; transcriptome analysis; genetics and epigenetics variation; metagenomics and microbiome analysis; and new HTS platform data analysis (e.g. synthetic reads, long reads, nanopore). In addition to general sessions, we propose to have two specialized sessions to focus on current hot topics: a) long sequencing and mapping techniques, b) single cell sequencing applications, c) non-linear genome representations. Both of these topics have generated an enormous amount of interest recently.

Keywords: sequencing, next generation, high throughput, algorithms, assembly, phasing, variation discovery, genotyping, metagenomics, microbiome, long reads, short reads, nanopre, pan-genomes, graph genomes
iRNA: Integrative RNA Biology

Abstract Area Chairs:
Yoseph Barash, University of Pennsylvania, United States
Klemens Hertel, UC Irvine, United States
Athma Pai, University of Massachusetts Medical School, United States
Michelle Scott, University of Sherbrooke, Canada


Learn more about the iRNA COSI here
iRNA track covers the full range of research topics in the field of RNA Biology, from computational and high-throughput experimental methods development to their application in different aspects of RNA processing, structure, and function.
The goal of the Integrative RNA Biology session is to bring together experts in computational and experimental aspects of research in RNA Biology to cover new developments across this broad field of research. The meeting focuses on two major areas: (1) the development of computational and high-throughput experimental methods, and (2) the application of such methods to break new grounds in the study of RNA biology and disease. We aim to educate and inspire researchers in the field, novice and seasoned alike, by meshing together different aspects of Computational RNA Biology, and promoting cross-disciplinary collaborative research.

Keywords: Transcriptomics, RNA processing, post-transcriptional regulation, non-coding RNA, RNA 2D/3D structure, alternative-splicing, alternative polyadenylation, RNA translation degragation and localization, genetic variants effect on RNA processing, RNA and disease.
MLCSB: Machine Learning in Computational and Systems Biology

Abstract Area Chairs:
Catalina Vallejos, The University of Edinburgh, United Kingdom
Marinka Zitnik, Harvard University, United States

Learn more about the MLCSB COSI here

Systems Biology and Machine Learning meet in the MLCSB COSI. The community is the place for researchers of these areas to exchange ideas, interact and collaborate.
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 and 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. Taking advantage of this wealth of genomic information has become a conditio sine qua non for whoever has the ambition 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.

Keywords: Machine Learning, Data Mining, Deep Learning, Artificial Intelligence in Bioinformatics and Computational Biology
MICROBIOME

Abstract Area Chair:
Zhong Wang, Lawrence Berkeley National Laboratory, United States

Learn more about the MICROBIOME COSI here
The MICROBIOME Community of Special Interest aims at the advancement and evaluation of computational methods in microbiome research, especially metaomic approaches. Based on the Critical Assessment of Metagenome Interpretation (CAMI), the COSI supplies users and developers with exhaustive quantitative data about the performance of methods in relevant scenarios.
It therefore guides users in the selection and application of methods and in their proper interpretation. Furthermore, the COSI provides a platform for exchange and networking between method developers, and provides valuable information allowing them to identify promising directions for their future work.
Keywords: microbiome, computational metaomics, microbial networks, pathogens, symbionts, (meta)omics-based diagnostics, microbial ecology and evolution

The MICROBIOME Community of Special Interest aims at the advancement and evaluation of computational methods in microbiome research, especially metaomic approaches.

Keywords: microbiome, genome reconstruction, metagenomics, metatranscriptomics, metaproteomics, microbial networks, microbial traits, symbionts, pathogens, genome-based diagnostics
NetBio: Network Biology

Abstract Area Chair:
Martina Kutmon, Maastricht University, Netherlands

Learn more about the NetBio COSI here
As large scale, systems-level data are becoming increasingly available, modeling and analyzing them as networks is widespread. Network Biology Community serves to introduce novel methods and tools, identify best practices and highlight the latest research in the growing and interdisciplinary field of network biology.

Keywords: networks, pathways, systems, network analysis, disease networks, disease pathways
RegSys: Regulatory and Systems Genomics

Abstract Area Chairs:
Shaun Mahony, Penn State University, United States
Anthony Mathelier, University of Oslo, Norway
Alejandra Medina-Rivera, National Autonomous University of Mexico

Learn more about the RegSys COSI here
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 RegSys COSI 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.

Keywords:
1. Genomic and epigenomic regulatory elements (transcription factors, enhancers, histones, gene promoters, regulatory motifs, non-coding RNAs, etc.)
2. NGS methods in regulatory genomics (e.g., ChIP-seq, RNA-seq, ATAC-seq)
3. Epigenetics and epitranscriptomics
4. Alternative splicing
5. Regulatory networks and pathway analysis
6. Genetic, molecular, and phenotypic variation in human disease
7. DNA shape
8. Single-cell transcriptomics (and other single cell assays)
9. 3D genomics (e.g., Hi-C and ChIA-PET)
10. Regulatory evolution or comparative regulatory genomics
SysMod: Computational Modeling of Biological Systems

Abstract Area Chairs:
Andreas Dräger, University of Tübingen, Germany
Reihaneh Mostolizadeh, University of Tübingen, Germany
Anna Niaraki, Université d’Évery, France
Bhanwar Puniya, University of Nebraska-Lincoln, United States


Learn more about the SysMod COSI here
The Computational Modeling of Biological Systems (SysMod) aims to create a forum for systems modelers and bioinformaticians to discuss common research questions and methods. The session will focus on the conjoint use of mathematical modeling and bioinformatics to understand biological systems functions and dysfunctions.
The meeting is open to the full range of methods used in systems modeling, including qualitative and quantitative modeling, dynamical and steady-state modeling, as well all applications of systems modeling including basic science, bioengineering, and medicine.

Keywords: computational modeling, constraint-based models, logical models, kinetic models, multi-scale models
Text Mining: Text Mining for Healthcare and Biology

Abstract Area Chairs:
Cecilia Arighi, University of Delaware, United States
Lars Juhl Jensen, University of Copenhagen, DenmarkRobert Leaman, NCBI/NLM/NIH, United States
Zhiyong Lu, NCBI/NLM/NIH, United States


Learn more about the Text Mining COSI here
The Text Mining COSI brings together researchers that create text mining tools with researchers who use text mining tools to make new discoveries. Our community discussions include both text mining use cases - concrete problems and applications in the biological/biomedical domain - and methodology development.
TransMed: Translational Medical Informatics

Abstract Area Chairs:
Sanne Abeln, Vrije Universiteit Amsterdam, Netherlands
Irina Balaur
, University of Luxembourg
Wei Gu, University of Luxembourg
Heba Sailem, University of Oxford, United Kingdom
 


Learn more about the TransMed COSI here.
TransMed covers the current developments in the field of clinical and translational medicine informatics. Analysis of large amounts of multi-omics, imaging (medical and molecular), mobile sensor, clinical and health records data is paving the way for precision medicine. In the TransMed track, we will explore the current status of computational biology and advance machine learning approaches within the field of clinical and translational medicine.
This opens the debate on current state-of-the-art data infrastructures for translational medicine data integration and analysis. A variety of computational approaches are currently being used to harmonize and relate molecular data to clinical outcomes in order to better understand disease conditions. These methods also have the potential to discover biomarkers for early detection of disease, and targets for drug discovery, and to be used predictively to help to suggest personalised therapeutic strategies for patients. In this session we will bring scientists from both academia and industry to exchange knowledge and foster networking, to help in building up of the translational medicine community. .

Keywords: Translational medicine; clinical and ‘omics data integration; curation and harmonization; stratification of patients; informatics for integrating biology and the bedside; medical informatics; ontology-driven data representation; patient centered outcomes research; cohort data; deep learning
VarI: Variant Interpretation

Abstract Area Chairs:
Emidio Capriotti, University of Bologna, Italy
Hannah Carter, University of California, San Diego, United States
Antonio Rausell, Imagine Institute for Genetic Diseases, France

Learn more about the VarI COSI here
The VarI COSI meeting is dedicated to the recent advances in the analysis and interpretation of the genetic variants.
The meeting aims to organize a research network (VarI-COSI) facilitating the exchange of ideas and the establishment of new collaborations between researchers with different expertise. The VarI-COSI meeting is broadly divided in two sessions (“Genetic variants as markers: evolution, populations, GWAS” and “Genetic variants as effectors: function, structure, and regulation”) that encompass the four major research topics of the field: 1) Databases, data mining algorithms and visualization tools for variants analysis. 2) Methods for predicting regulatory/structural/functional impacts of SNVs. 3) Personal Genomics, GWAS studies and SNV prioritization. 4) Population genomics and phylogenetic analysis.
General Computational Biology
Abstract Area Chairs:
Xin Gao, King Abdullah University of Science and Technology, Saudi Arabia
Sara Mostafavi, University of Washington, United States

(If all other areas are insufficiently descriptive of your work, please submit to the area below. Please note that the submissions in this area can be moved, subject to chairs’ considerations.)
Novel techniques in emerging areas of computational biology, including intersections with other fields.
Equity-focused Research (New for 2022)

Abstract Area Chair:
Casey Greene
, University of Colorado’s Anschutz Medical Campus, United States
This area is for research that examines issues of equity, representation, diversity, or other elements related to datasets, methods, or the field of computational biology at large.
Special Session: Computational Immunology Posters Only

Special Session Chair:
Yuri Pritykin,
Princeton University, United States
The Special Session on Computational Immunology invites abstracts for poster presentations in all areas of computational immunology, including both development of computational methods for analysis of multi-dimensional data in immunology and data-driven studies addressing specific immunological questions of fundamental or translational importance. Topics could include but are not limited to: single-cell multi-omics to characterize immune cell heterogeneity and regulatory mechanisms of immune cell function; receptor-ligand interaction analysis; spatial genomics for studies of immune microenvironments and immune cell interactions; trajectory inference and lineage tracing in immune cells; T cell and B cell receptor repertoire profiling, reconstruction and analysis.
Special Session: Digital Agriculture – Posters Only

Special Session Chairs:
Jennifer L. Clarke,
University of Nebraska-Lincoln, United States
Noah Fahlgren The Donald Danforth Plant Science Center, United States
Camilo Valdes, University of Nebraska-Lincoln, United States
The Special Session on Digital Agriculture invites abstracts for research that is topical to the field of digital agriculture, from basic to applied sciences and including intersections with other fields. As such topics relevant for this Special Session include, but are not restricted to, genetics and genomics of agriculturally relevant species; plant and animal phenomics; AI/machine learning; image analysis; remote sensing; educational innovations; discoveries resulting from public-private partnerships; data sharing and FAIR data standards; biotechnology; and soil sciences.
Special Session: Genome Privacy and Security

Special Session Chairs:
Bonnie Berger, Massachusetts Institute of Technology, United States
Hyunghoon Cho, Broad Institute of MIT and Harvard, United States
This Special Session on Genome Privacy and Security looks at methods related to the protection of individualized genomic and medical information; privacy models.
Sustainability research in computational biology - Posters Only

Session Chair: Ana Conesa, Spanish National Research Council (CSIC), Spain
We encourage poster submissions in the area of sustainability research in computational biology. This could cover ways to reduce carbon emissions in computational biology, or describe tools and techniques to improve sustainability. Analyses of sustainability in our field would also be in scope.

Abstracts: Deadlines

Any recent research, published or unpublished is eligible for submission and should be received by April 21, 2022. Acceptance notifications will be sent no later than Thursday, May 12, 2022. The conference will accept late posters abstracts beginning April 25, 2022.

Poster only submissions DO NOT require any materials to be uploaded. Submissions are evaluated on the 200 word text abstract provided during submission.

Abstracts: Submission Guidelines

The presenter should be identified during the submission process. Presenters of accepted abstracts are required to make the presentation themselves, and must register and pay to attend the conference.

Submitters may choose to have their submission reviewed for: talk and poster or poster only. If you select talk and poster and are unsuccessful for a talk your abstract will automatically be considered for a poster presentation. Submissions must be received by April 21, 2022.

During submission you will submit to the COSI track that most reflects your research area. You will have the option to identify two other COSI tracks that may also be suited to your research area during your submission.

  • All abstracts must be submitted using the conference submission site by the abstract deadline: April 21, 2022 (You have until 11:59 p.m. Any Time Zone).

  • Accepted abstracts (maximum 200 words) will be posted on the conference web site. For authors requesting a talk you should upload a long abstract of up to two (2) pages in PDF format during the submission process. *Do not submit more than two pages* It is best to check individual COSI websites for specific information regarding program goals and guidelines.

    PLEASE note: CAMDA submitters should include a 3-5 page long abstract PDF

  • The 200 word abstract should be a brief and concise summary of the background/motivation for the study, method and result(s), as well as conclusion/statement of significance. The abstract is submitted through the EasyChair submission system. If you are submitting for a talk a PDF (2 pages maximum) can be uploaded to provide additional details including figures and graphics that support the main points of the abstract.

    Your abstract must not contain your title/position or any personal information (e.g. affiliation). These details will be collected through the EasyChair submission system.

    Selected Abstract talks will be presented in tracks that run in parallel at the conference. The length of a talk is determined by individual COSI tracks. Oral presentation schedules for abstracts will be announced after acceptance notifications directly by the COSI track organizers.

Abstracts: Review Criteria

All submissions will be evaluated by a program committee. Submitters may choose to have their submission reviewed for talk and poster or poster only. If you select talk and poster and are unsuccessful for a talk your abstract will automatically be considered for a poster.

Posters advertising commercial software will be rejected from this poster session and/or removed from the conference without notice. There is a separate space for such posters in the exhibition area. If you have an industry poster, contact This email address is being protected from spambots. You need JavaScript enabled to view it..

Poster Details for ISMB 2022

Scientific Research Exchange - Posters Presentation Hours
July 11 - 13, 2022 (Central Time Zone)

Monday, July 11, 2022 BioInfo-Core
CAMDA
CompMS
Function
General Computational Biology
iRNA
Special Session: Computational Immunology
SysMod
Text Mining
Tuesday, July 12, 2022 CAMDA
Education
HiTSeq
iRNA
NetBio
Special Session: Digital Agriculture
Special Session: Genome Privacy
TransMed
VarI
Wednesday, July 13, 2022 3D-SIG
Bio-Ontologies
BioVis
BOSC
EvolCompGen
HiTSeq
Microbiome
MLCSB
RegSys

Attention Poster Authors:

Recommended poster size is 46" (116.84cm) wide x 45" (114.3cm) high. View an Example.

Late Posters


The Call for Late Posters (opens April 25, 2022). Call for Late Posters closes May 19, 2022, 11:59 p.m. Any Time Zone.

Institutional Research

Not-for profit research institutes and universities are able to submit their research findings as part of the call for posters. This will be displayed with in the topic area of Institutional Research.

Reviews of fields or techniques

Individuals may choose to submit a poster presenting a review of a specific field or technique. These submissions do not need to contain original work from the author and are intended to be an introduction for individuals not familiar with the field or technique. These review are not meant to be advertisements (e.g. it is not acceptable that the poster is an advertisement for a book or other type of commercial publication)

FAQ

Q: Can I submit more than one abstract?
A: Yes, but although having the same person deliver more than one talk is permitted, it is not encouraged. Also, although a poster presenter offer may present two posters (one in Poster Session A and one in Poster Session B), we encourage labs to involve multiple presenters.


Q: Should I submit a PDF of my poster when completing my submission?
A: No, please only submit the poster abstract. In addition, all poster presenters will upload a Poster PDF and short 5-7 minute MP4 talk to the virtual conference platform beginning June 30, 2022.


Q: Can previously accepted work be considered for a poster?
A: Yes, we do ask that you note the year the work was published and provide the Digital Object Identifier (DOI) during the submission process.