Travel Fellowships

Links in this page:  Funding Information | Travel Fellowship Application Overview | Travel Fellowship Key Dates | Maximum Awards and Amounts | Eligibility Requirements | Application Process | Eligible Expenses | Notification | Contacts

Funding Information

RECOMB and ISCB are pleased to offer travel fellowships to attend RSGDREAM 2019 for students and postdoctoral fellows to present a talk or poster at the conference in New Yok, New York. Funding sources for Travel Fellowships are very limited and we regret that we are not able to fund all applicants. The conference organizers are committed to providing support to as many eligible applicants as possible. Travel Fellowship consideration is based on criteria listed below.

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Travel Fellowship Application Overview

1. The submitting author will be sent the invitation and is responsible for getting the invitation to the presenting author if the work is not being presented by the submitting author.

2. Applicant must be a current member of ISCB prior to submitting an application

3. Applicant must be listed as an author and be the presenter of an accepted Oral or Poster in order to be eligible to apply for travel fellowship funds through RSGDREAM 2019

4. All applicants must attend all three (3) conference days and secure additional funding from other sources in order to be able to cover the full costs of attending the conference.

5. The deadline to submit a fellowship application is September 25, 2019, by 11:00 pm Eastern Daylight Time. No exceptions will be made.

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Travel Fellowship Key Dates

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Maximum Award Amounts

The maximum fellowship award is $500 USD for those in the United States and $1,000 USD in all other geographic locations. Please note that funded applicants will only be able to cover approximately 50% of the expense of travel and registration fees with these fellowship amounts. Thus all applicants must seek and secure additional funding sources (e.g., from your home institution/university, or grant funding).

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Eligibility Requirements

• Applicant must be a current ISCB member whose membership does not expire prior to the last day of the conference (November 6, 2019). Applications will not be accepted from non-members; pending memberships do not qualify and must be paid in full prior to submission of an application.
• Applicant must be listed as an author or co-author on the original submission to RSGDREAM 2019 Abstracts or Poster, and, per the requirements of the funding agencies, the funded applicant must be the presenting author of the work.
• Applicant must be registered in a degree program (undergraduate or graduate) or as a *postdoctoral research fellow at an accredited educational institution at the time of the conference; post docs and employees of any US federal agency are ineligible for funding using US federal funds - currently we have only US federal funds for this travel fellowship program. (*The period of eligibility for a PostDoc is five (5) years from the time of their PhD completion date).

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Application Process

Invitations will be sent automatically to all submitting authors through Easychair. The application URL must be submitted by the presenting author only, if he or she meets the qualifying requirements. If the submitting author is not the presenting author, it is the responsibility of the submitting author to forward the invitation to the presenting author if he or she meets the eligibility requirements. No application will be accepted after the deadline of September 25, 2019.

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Eligible Expenses

Eligible expenses toward travel fellowship funds include conference registration, transportation (air or land transportation from home region to conference city), and a maximum of 400 USD of hotel room and occupancy tax charges and 150 USD in meal expenses. In order to receive the full-awarded amount, receipts for registration, transportation and hotel accommodations are required that equal or exceed the awarded amount. Conference registration fee is reimbursable at the early registration pricing only.

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Notification

Applicants will be notified no later than October 4, 2019 of the funding status. In some cases applicants may be notified they are on a wait list for funding. Any wait listed applicant that is eventually awarded funds will be offered the opportunity to register at the early registration rate, therefore, please do not register for the conference if your attendance is fully dependent on being awarded a travel fellowship as any cancellation of an applicant's registration will be subject to the full regular registration cancellation policy.

Funded applicants will be required to present evidence of their eligibility status (such as student identification card) when signing in daily to record their attendance. In all cases, funds will be mailed to funded applicants after the conference per the details noted in Eligibility Requirements above.

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Contacts

Questions regarding travel fellowships should be addressed to: This email address is being protected from spambots. You need JavaScript enabled to view it.

The information on this page is subject to change without notice, and all changed information will be considered final for the purposes of awarding and funding RSGDREAM 2019 Travel Fellowships.

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Keynote Speakers

	Elham Azizi, PhD Memorial Sloan Kettering Cancer Center	Alexis Battle, PhD John Hopkins Biomedical Engineering
	Rich Bonneau, PhD New York University	Elodie Ghedin, PhD New York University
	Anshul Kundaje, PhD Stanford University	Joakim Lundeberg, PhD KTH Royal Institute of Technology
	Christopher E. Mason, PhD Weill Cornell Medicine	Sohrab Shah, PhD Memorial Sloan Kettering Cancer Center
	Chris Wiggins, PhD Columbia University	Peng Yin, PhD Wyss Institute at Harvard University

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Elham Azizi, PhD
Memorial Sloan Kettering Cancer Center

Elham Azizi is a postdoctoral fellow at the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center. She will be joining Columbia University as an Assistant Professor of Biomedical Engineering and Herbert & Florence Irving Professor of Cancer Data Research in the Irving Institute for Cancer Dynamics in January 2020. Her research utilizes single-cell genomic technologies combined with statistical machine learning techniques, to characterize interacting cells in the tumor microenvironment as well as their dysregulated gene circuitry. She received a PhD in Bioinformatics from Boston University (2014), an MS degree in Electrical Engineering also from Boston University (2010) and a BS in Electrical Engineering from Sharif University of Technology (2008). She is a recipient of the NIH NCI Pathway to Independence Award, the Tri-Institutional Breakout Prize for Junior Investigators, and an American Cancer Society Postdoctoral Fellowship.

Probabilistic modeling of evolving T cell states during response and resistance to Donor Lymphocyte Infusion
Donor lymphocyte infusion (DLI) is a standard of care immunotherapy for relapsed leukemia after allogeneic hematopoietic stem cell transplant. We mapped evolving T cell states in response or resistance to DLI in a cohort of Chronic myelogenous leukemia (CML) patients, using single-cell RNA-seq and statistical machine learning tools. This revealed temporal dynamics of exhausted T cells that expand in responders and are inexistent in non-responders to DLI. Using a Bayesian framework, we integrated ATAC-seq with single-cell RNA-seq data and found these outcome-specific T cell subsets are driven by distinct sets of regulators.

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 Alexis Battle, PhD
John Hopkins Biomedical Engineering

Alexis Battle is an Associate Professor of Biomedical Engineering at Johns Hopkins University, and a 2016 Searle Scholar.  Her  research group focuses on understanding the impact of genetic variation on the human body, using machine learning and probabilistic methods to analyze large scale genomic data.  She is interested in applications to personal genomics, genetics of gene expression, and gene networks in disease, leveraging diverse data to infer more comprehensive models of genetic effects on the cell.  She earned her Ph.D. in Computer Science in 2013 from Stanford University, where she also received her Bachelor’s degree in Symbolic Systems in 2003.  Alexis spent several years in industry as a manager and member of the technical staff at Google, Inc.  She joined Johns Hopkins University in July 2014.

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Rich Bonneau, PhD
New York University

Dr. Bonneau focuses on two main categories of computational biology: learning networks from functional genomics data and predicting and designing protein and peptoid structure. In both areas he has played key roles in achieving critical field-wide milestones. In the area of structure prediction he was one of the early authors on the Rosetta code, which was one of the first codes to demonstrate accurate and comprehensive ability to predict protein structure in the absence of sequence homology. His lab has also made key contributions to the areas of genomics data analysis. They focus on two main areas: 1) methods for network inference that learn dynamics and topology from data (the Inferelator) , and 2) methods that learn condition dependent co-regulated groups from integrations of different genomics data-types (integrative biclustering). His lab strives to develop new methods that let systems-biologists derive functional forms from relevant biology and parameters from data automatically. Dr. Bonneau has also helped to start a new project with political scientists and experimental psychologists to apply methods for learning network structure from time series to social media time series data (using Twitter, online blogs about politics, and Facebook as our initial data sources (recently funded by NSF INSPIRE, http://smapp.nyu.edu/).

Structure-Based Function Prediction using Graph Convolutional Networks
Recent massive increases in the number of sequences available in public databases challenges current experimental approaches to determining protein function. These methods are limited by both the large scale of these sequences databases and the diversity of protein functions. We present a deep learning Graph Convolutional Network (GCN) trained on sequence and structural data and evaluate it on ~40k proteins with known structures and functions from the Protein Data Bank (PDB). Our GCN predicts functions more accurately than Convolutional Neural Networks trained on sequence data alone and competing methods. Feature extraction via a language model removes the need for constructing multiple sequence alignments or feature engineering. Our model learns general structure-function relationships by robustly predicting functions of proteins with ≤ 30% sequence identity to the training set. Using class activation mapping, we can automatically identify structural regions at the residue-level that lead to each function prediction for every protein confidently predicted, advancing site-specific function prediction. De-noising inherent in the trained model allows an only minor drop in performance when structure predictions are used, including multiple de novo protocols. We use our method to annotate all proteins in the PDB, making several new confident function predictions spanning both fold and function trees.

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Elodie Ghedin, PhD
New York University

Elodie Ghedin, PhD is Director of the Center for Genomics and Systems Biology at New York University, and Professor of Biology and Global Public Health. Her laboratory uses comparative genomics, evolutionary biology, and systems biology techniques to generate critical insight about host-pathogen interactions. Prof. Ghedin’s research program meets at the interface of molecular parasitology, microbiology, and genomics and focuses on the molecular basis of macroparasite (nematode) adaptation to niches in their human hosts, and microparasite (virus and bacteria) diversity and interaction in transmission and virulence.

Prof. Ghedin received her BS in Biology and PhD in Molecular Parasitology from McGill University (Montreal, Canada). She was named a MacArthur Foundation Fellow (2011), A Kavli Frontier of Science Fellow (2012), and an American Academy of Microbiology Fellow
(2017).

Defective Virus Genomes in Host-Virus Interactions
Defective influenza virus particles generated during viral replication carry incomplete genomes and can interfere with the replication of competent viruses. These defective viruses are found in a substantial proportion of the virus population within infected hosts. They are also thought to modulate disease severity and pathogenicity of the influenza infection. Our studies in natural human infections, longitudinal animal experiments, and single cell analyses address this complex virus-host interplay to better understand how influenza virus evolves within infected hosts.

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Anshul Kundaje, PhD
Stanford University

Anshul Kundaje is an Assistant Professor of Genetics and Computer Science at Stanford University. The Kundaje lab develops interpretable machine learning and deep learning approaches for large-scale integrative analysis of functional genomic data to decode regulatory elements and pathways across diverse cell types and tissues and understand their role in cellular function and disease. Anshul completed his Ph.D. in Computer Science in 2008 from Columbia University. As a postdoc at Stanford and MIT/Broad, he led the integrative analysis efforts for two of the largest functional genomics consortia - The Encyclopedia of DNA Elements (ENCODE) and The Roadmap Epigenomics Project. Dr. Kundaje is a recipient of the 2016 NIH Director’s New Innovator Award and The 2014 Alfred Sloan Foundation Fellowship. Anshul is also a member of the NIH Director's Advisory Committee for Artificial Intelligence in Biomedical Research.

Deep learning at base-resolution reveals motif syntax of the cis-regulatory code
Functional genomics experiments profiling genome-wide regulatory state have revealed millions of putative regulatory elements in diverse cell states. These massive datasets have spurred the development of neural network models that can accurately map DNA sequence to associated cell-type specific molecular phenotypes such as transcription factor (TF) binding, chromatin accessibility and gene expression. Beyond high prediction accuracy, the primary appeal of neural networks is that they are capable of learning predictive sequence features and modeling non-linear feature interactions directly from raw DNA sequence with minimal assumptions. Hence, interpreting these purported black box models could reveal novel insights into the cis-regulatory code. Here, we introduce a convolutional neural network, BPNet, which can model base-resolution TF binding profiles from ChIP-nexus/exo experiments using raw DNA sequence. We apply BPNet to model combinatorial binding profiles of four pluripotency transcription factors Oct4, Sox2, Nanog, and Klf4 in mESCs. We develop a suite of model interpretation methods to learn novel motifs and motif representations, accurately map predictive motif instances in the genome and identify higher-order rules by which combinatorial motif syntax influences binding of these TFs. We find that instances of strict motif spacing are largely due to retrotransposons, but that soft motif syntax influences motif interactions at protein and nucleosome range. Most strikingly, Nanog binding is driven by motifs with a strong preference for ∼10.5 bp spacings corresponding to helical periodicity. BPNet can be easily adapted to other types of profiling experiments (e.g. ChIP-seq, DNase-seq, ATAC-seq, PRO-seq), thus paving the way to decipher the complexity of the cis-regulatory code using deep learning models of functional genomics data.

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Joakim Lundeberg, PhD
KTH Royal Institute of Technology

Professor Joakim Lundeberg heads the Department of Gene Technology, KTH Royal Institute of Technology and focus on molecular technology development. His research group is since May 2010 located at the Science for Life Laboratory (SciLifeLab), a national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. The current research focus of JL relates to spatially resolved gene expression studies in situ, Spatial Transcriptomics. RNA-sequencing offers the possibility to analyze the expression of all genes in a sample. However, the spatial information of gene expression is lost. In the pioneering work a method was described that allowed studies of gene expression in tissue sections using RNA-sequencing to uncover transcriptional patterns in situ (Ståhl et al, Science, 2016). The basic concept is remarkably simple; by placing tissue sections on arrayed reverse transcription oligonucleotides with positional barcodes, cDNA for RNA-sequencing can be generated with maintained positional information within the tissue. The quality of the obtained cDNA libraries is as high as with the best protocols for homogenized tissue. Applying this strategy has been demonstrated to work remarkably well and allows visualizing and quantifying the transcriptome in regular histological tissue sections, i.e. tissue domains can be matched to precise gene expression patterns. Furthermore, data driven methods can be applied to discover in an unsupervised manner transcriptomic patterns in space. Such patterns correspond to cell-types, microenvironments, or tissue components that allows for novel avenues of research.

Exploring data driven analysis of spatially resolved transcriptomes in situ and in single cells.
In the presentation we will describe our Spatial Transcriptomics technology to generate transcriptome wide data from imaged tissue sections. We will also demonstrate the use of unsupervised principles to view the molecular landscape in the investigated normal and pathological conditions  combined with single cell annotations. 

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Christopher E. Mason, PhD
Weill Cornell Medicine

We utilize computational and experimental methodologies to identify and characterize the essential genetic elements that guide the function of the human genome, with a particular emphasis on the elements that orchestrate the development of the human brain. Our lab creates detailed cell-specific molecular maps of genetic, epigenetic, transcriptional, and translational activity, creating a draft of the molecular recipe for the creation of the brain. We also develop methods to detect, catalog and functionally annotate variants in the genetic pathways that control developmental processes and how they are perturbed to create disease. We aim to understand of the functional elements of the human genome well enough to enable, eventually, the ability to repair, re-engineer, or fortify these genetic networks within human cells.

Planetary-scale genomics and precision astronaut medicine
The avalanche of easy-to-create genomics data has impacted almost all areas of medicine and science, from cancer patients and microbial diagnostics to molecular monitoring for astronauts in space. Recent technologies and algorithms from our laboratory and others demonstrate that an integrative, cross-kingdom view of patients (precision metagenomics) holds unprecedented biomedical potential to discern risk, improve diagnostic accuracy, and to map both genetic and epigenetic states around the world and in real-time. Finally, these methods and molecular tools work together to guide the most comprehensive, longitudinal, multi-omic view of human astronaut physiology in the NASA Twins Study, which lay the foundation for future long-duration spaceflight, including sequencing, quantifying, and engineering genomes in space.

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 Sohrab Shah, PhD
Memorial Sloan Kettering Cancer Center

Sohrab Shah was appointed to MSK in April 2018 as the inaugural Chief of the Computational Oncology Service and is the incumbent of the Nicholls-Biondi Chair. He received a PhD in computer science from the University of British Columbia in 2008 and was appointed as a Principal Investigator to The British Columbia Cancer Agency and the University of British Columbia in 2010 where he developed the roots of his research program. He is a University of British Columbia Killam laureate and a Susan G. Komen Foundation Scholar. His research focuses on cancer evolution, where he uses integrative approaches involving genomics and computational modeling. He has led major projects including the analysis team of the METABRIC consortium, and has published major works in breast and ovarian cancer genomics, including the first description of mutational evolution in a breast cancer patient (Shah et al. Nature 2009), the first mutational landscape of triple negative breast cancers (Shah et al. Nature 2012) and single cell resolution demonstration of clonal evolution in breast cancer xenografts (Eirew et al. Nature 2015).  More recently, he has made seminal contributions to understanding clonal evolution in ovarian cancer and discovered that specific mutational patterns related to foldback inversions in the genomes of ovarian cancers are prognostic in terms of treatment outcomes. Dr. Shah’s recent focus is in deciphering clonal evolution and mutational processes at single cell resolution. His work has been published in Nature, Nature Genetics, Nature Methods, Cell, NEJM, Genome Research, Genome Biology, amongst others.

Inferring evolutionary fitness in cancer
In this talk I will discuss new approaches for inferring fitness of clonal populations in cancer using single cell sequencing and timeseries observations.  Most computational models of fitness in cancer evolution are rooted in estimating how selection operated over the life history of a cancer, inferred from a single time point and bilk sequencing.  I will present an experimental design and computational modeling framework for quantifying fitness and growth trajectories of distinct clonal populations.  I will discuss how scaled whole genome sequencing, phylogenetics, Wright Fisher diffusion processes and phenotypic associations can provide rich insights and a quantitative rationale for predicting the growth trajectories of cancer cells from model systems to patients.

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Chris Wiggins, PhD
Columbia University

Chris Wiggins is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times.  At Columbia he is a founding member of the executive committee of the Data Science Institute, and of the Department of Applied Physics and Applied Mathematics as well as the Department of Systems Biology, and is affiliated faculty in Statistics.  He is a co-founder and co-organizer of hackNY (http://hackNY.org),  a nonprofit which since 2010 has organized once a semester student hackathons and the hackNY Fellows Program, a structured summer internship at NYC startups.  Prior to joining the faculty at Columbia he was a Courant Instructor at NYU (1998-2001) and earned his PhD at Princeton University (1993-1998) in theoretical physics.  He is a Fellow of the American Physical Society and is a recipient of Columbia's Avanessians Diversity Award.  He is currently writing a book on the history and ethics of data with Professor Matt Jones (Columbia) forthcoming from W. W. Norton & Company in 2021.

Data science at the new york times: lessons from systems biology
Within both the communities of academia and industry, ways of understanding complex real world systems are being transformed by the availability of copious data. Such transformation can bring both opportunity and challenge; biology experienced their "data moment" in the 1990s with the sequencing of whole organisms. Much of that experience --- such as the demands for novel collaborations across previously-separated communities, and the opportunity to create new strategies for attacking the core questions of the discipline --- has close parallels in both communities. In this talk I'll share some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. I'll illustrate how descriptive, predictive, and prescriptive analyses have different roles in science and industry, focusing on lessons learned since 2013 in developing a new data science team at The New York Times.

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Peng Yin, PhD
Wyss Institute at Harvard University

Peng Yin works as an Assistant(2010-2014)/Associate(2014-2016)/Full(2016-) Professor of Systems Biology at Harvard Medical School and a Core Faculty Member at Wyss Institute for Biologically Inspired Engineering at Harvard University (2010-). He is co-founder and director of Ultivue, Inc., an early stage company for digital pathology backed by Arch Ventures. He is also co-founder and director of NuProbe Global, a startup for PCR and NGS based molecular diagnostics backed by prestigious venture funds. His research interests lie at the interface of information science, molecular engineering, and biology. The current focus is to engineer information directed self-assembly of nucleic acid (DNA/RNA) structures and devices, and to exploit such systems to do develop applications in nano-fabrication, imaging, sensing, diagnostics, and therapeutics. He is a recipient of a 2010 NIH Director's New Innovator Award, a 2011 NSF CAREER Award, a 2011 DARPA Young Faculty Award, a 2011 ONR Young Investigator Program Award, a 2013 NIH Director's Transformative Research Award, a 2013 NSF Expedition in Computing Award, a 2014 ACS Synthetic Biology Young Investigator Award, 2014/2015 Finalists for Blavatnik National Award for Young Scientists, 2014/2015 World Economic Forum Young Scientist Awards, a 2017 Tulip Award for DNA Computing and Molecular Programming, and a 2018 NIH Director’s PIONEER award. He graduated from Peking University with B.S. in Biochemistry and Molecular Biology and Bachelor of Economics in 1998, and from Duke University with M.S. in Molecular Cancer Biology in 2000 and Ph.D. in Computer Science in 2005, and did his postdoc training at CalTech (2005-2009).

DNA advancing bioimaging

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Special Sessions

Coming Soon.

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Poster Presentation Submissions

Links within this page:
Submit a Poster Presentation | How to Submit your Abstract | Topics | Special Session on Cancer Systems Biology

Submit a Poster Presentation

The RECOMB/ISCB Conference on Regulatory and Systems Genomics invites abstracts for consideration for oral presentations or participation in a poster session. Abstracts may be either original unpublished work or original work that was published or accepted for publication at a high-impact journal between January 1, 2019 and November 1, 2019. Unpublished work will be considered for either an oral or a poster presentation. Work already accepted for publication will be considered for an oral presentation only.

Key Dates:
Abstract Submission for Poster deadline: Monday, September 9, 2019
- Author notifications will occur on or around Monday, September 30, 2019
DREAM Poster Consideration deadline: TBD
- Author notifications will occur on or around TBD

Click Here to Submit!

Abstracts received before the due date will be considered for poster presentations.

Any abstracts submitted after the deadline will be included only at the discretion of the conference chairs, and will be eligible for poster presentations only.  Please also note that we can only allow one abstract per presenting author.

Authors reserve the right to publish their work elsewhere.

Poster Display Size: - When preparing accepted posters please note that your poster should not exceed the following dimensions: 46 inches wide by 45 inches high. There will be 2 posters per side on the each poster board.

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How to Submit your Abstract

Please use this link to EasyChair to submit your abstract (400 words or less). You will be asked to provide information about yourself and your coauthors, including name, e-mail address, and affiliation. Please check one box for corresponding author to indicate who would be speaking or would be primarily responsible for your poster. You will also be asked to provide an abstract title, the text of your abstract, and keywords.

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Topics

This conference is designed to present the latest findings about regulatory and systems genomics, foster discussion about current research directions, and establish new collaborations that will advance the development of a systems-level understanding of gene regulation. Some possible topics include:

• Network visualization and analysis
• Regulatory motifs and modules
• Epigenomics and chromatin state
• Non-coding RNAs
• Regulatory networks
• Co-transcriptional, post-transcriptional, and translational regulation
• Signal transduction networks
• Genetic, molecular, and phenotypic variation and human disease
• Cellular signatures of biological responses and disease states
• Mathematical modeling and simulation of biological systems
• Methods for systematic validation of high-throughput biological predictions
• Single-cell transcriptomics
• Single-cell proteomics
• Metabolomics
• Microbiome
• Machine learning methods for systems biology
• Translational systems biology
  

 
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Special Session on Cancer Systems Biology

Regulatory and Systems Genomics 2019 will include an abstract submissions track for a Special Session of Cancer Systems  We welcome submissions on computational and experimental advances in the systems-level modeling of cancer.  Topics include but are not limited to: regulatory programs and signaling pathways in cancer cells, tumor-immune interactions and the tumor microenvironment, developmental plasticity in tumors and epigenetic analyses, tumor metabolism, genetic and non-genetic sources of heterogeneity, drug response and precision oncology.  The session will include presentations from keynote speakers as well as talks from selected abstracts. This special session is sponsored by the Research Center for Cancer  Systems Immunology at Memorial Sloan Kettering Cancer Center, an NCI-funded Cancer Systems Biology Consortium (CSBC) Center.

Click Here to Submit!

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Register

Links within this page:
Registration Rates | ISCB Membership | Registration Instructions | Payment Options
VISA Invitation Letters | Cancellation Policy

Before registering please review the details below about the RSG w/ DREAM conference and its components.

Please note online registration closes Monday, October 28, 2019. After this date only on-site registration will be available at the conference registration desk at MSKCC-Rockefeller Research Laboratories in New York City, New York. All early and online registration discounts are expired for on-site registration.

• Early Discounted Registration: June 14, 2019 through October 7, 2019
• Regular Registration: October 8, 2019 through October 28, 2019
• On-site (Late Registration): Monday, November 4, 2019 through Wednesday, November 6, 2019
  

For additional information regarding registration rates please see the chart below.

Conference Registration Fees include:

• Scientific sessions (Monday, November 4, 2019 through Wednesday, November 6, 2019)
• Poster sessions (Monday, November 4, 2019 through Wednesday, November 6, 2019)*
• Refreshment breaks (Monday, November 4, 2019 through Wednesday, November 6, 2019)

*Registration is for the main conference Monday, November 4, 2019 through Wednesday, November 6, 2019. We do ask that you select DREAM when registering if you are attending Monday's activities to assist us with an accurate headcount.

Click here to register

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Registration Rates
(all prices are US dollars)

Click here to register

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Click here to register

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Click here to register

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Please note online registration closes October 28, 2019 at 11:59PM. After this time registration will only be available onsite at the conference registration desk at MSKCC - Rockefeller Research Laboratories in New York City, New York.

430 E 67th St.
New York, New York 10065


Conference registration fees include:
Conference Registration Fees include:

• Scientific sessions (Monday, November 4, 2019 through Wednesday, November 6, 2019)
• Poster sessions (Monday, November 4, 2019 through Wednesday, November 6, 2019)*
• Refreshment breaks (Monday, November 4, 2019 through Wednesday, November 6, 2019)

Click here to register

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ISCB Membership

(ISCB Membership Fee Chart available here)

ISCB MEMBERS: If you are a current member of ISCB, you must use the email address associated with your ISCB membership in order to register at the discounted member rates through the online system. If you do not know the email address you used to register with ISCB, please send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. before proceeding with conference registration.

NONMEMBERS OF ISCB: Nonmembers will be able to join ISCB through the online conference registration system and immediately receive member rates for the RECOMB Conference on Regulatory and System Genomics, with DREAM Challenges. You can either join when you register for the conference or you can join the ISCB here and then immediately register for the conference at the member rates.

ISCB MEMBERSHIP RENEWAL: If your ISCB membership is not current or will expire on or before Wednesday, November 6, 2019 you will be offered an opportunity to renew your membership as part of your registration fees through the online system.

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Registration Instructions

To pay by check make your payment payable (US$) to the International Society for Computational Biology and mail it with a copy of your invoice to:

RECOMB/ISCB RSGDREAM 2019 Registration
c/o Belinda Hanson - ISCB
525-K East Market Street, RM 330
Leesburg, Virginia 20176

To pay by wire transfer please email This email address is being protected from spambots. You need JavaScript enabled to view it. to request wire transfer instructions. PLEASE note a $25 wire administration fee will be added during registration for those choosing to pay by wire transfer. If you will be paying by ACH rather than an electronic wire transfer, please specify that as the detailed instructions are different. Please note that any bank fees must be paid by the participant. Should funds arrive with bank fees deducted, payment of the difference will be charged to the participant at on-site registration.

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Payment Options

All conference fees for the RECOMB ISCB Conference on Regulatory and Systems Biology, with DREAM Challenges are charged in United States Dollars.

Credit cards
The following credit cards are accepted for registration: American Express, MasterCard, and Visa. For offline payment please use this form (.pdf).

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VISA Invitation Letters

Invitation letters required for visa applications will be sent with your confirmation after registration and full payment have been received. You must be registered and paid-in-full for the conference in order to receive an invitation letter.

International visitors to the United States
All international visitors, regardless of country of origin, must present a passport when entering the United States, and in many cases an entry visa is also required. It is essential that delegates arriving from outside the US have a valid passport with expiration at least six months after the planned date of entry, and any other required travel documents such as an entry visa. Please ensure that you allow enough time to apply for an entry visa should one be required for your arrival and participation at RECOMB /ISCB RSG with DREAM Challenges. Paid registration must be received by RECOMB /ISCB RSG with DREAM Challenges before a visa letter can be provided, so early registration is suggested for all delegates requiring an entry visa.

Details are available on a number of websites including:

• Travel to the USA: www.discoveramerica.com/ca/entry.html
• USA Visas: http://travel.state.gov/content/visas/english/visit/visitor.html

ISCB and the RECOMB /ISCB RSG with DREAM Challenges conference organizers assume no responsibility for the accuracy of information on any of the above websites, and encourage you to communicate directly with the US Embassy or US Consulate office that services your particular needs for entry into the United States.

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Cancellation Policy

Requests for registration cancellation must be made in writing and sent to This email address is being protected from spambots. You need JavaScript enabled to view it..

All refunds will be made in US dollars and processed following the conference. Refunds will be made in accordance with the following schedule:

• Cancellations received on or before October 7, 2019 will receive a 50% refund.
• No refund of fees will be made after October 8, 2019.

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Questions About Registration

For questions about your registration please contact us at This email address is being protected from spambots. You need JavaScript enabled to view it..

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Key Dates

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Contact

Circle Line 2 Hour Semi-Circle Cruise Tour. © NYC & Company/Marley White. For web site use, www.nycgo.com.

RSG and DREAM General Questions

Bel Hanson
Conference Manager
This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel: 1-571-293-0286

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ISCB Media Access Policies and Guidelines

ISCB provides complimentary press registration to pre-approved members of the working press with appropriate press credentials, and to working freelance journalists with a letter of assignment (on the publication’s official letterhead) from an editor.

Eligibility Requirements

The following individuals are eligible for press registration:

• Reporters, writers, producers, and editors as well as photographers and videographers with staff credentials from newspapers, magazines, online news services, wire services, and radio or television networks and stations
• Freelancers with assignment letters from editors of established, verifiable media outlets (Letters of Assignment must appear on the publication’s official letterhead.)
• Freelancers with at least one bylined article/report published online, in print, or broadcast by an established, verifiable media outlet during the six months prior to the meeting
• Representatives from journals that have a verifiable featured section or media outlet that reports news from the community at large with letter of assignment from the editor
• Online news services or online outlets that provide daily or weekly coverage of health and science
• Science bloggers who frequently comment about research, health issues, careers in science, or STEM education will be considered on a case by case basis.

ISCB encourages the above group to submit the media pass application in advance of the meeting. Once the media pass request is approved, a complimentary registration code will be provided.

The following individuals are not eligible for complimentary press registration:

• Writers, editors, and public relations professionals affiliated with exhibitors
• Public affairs staff from any association or organization
• Industry representatives or financial/industry analysts
• Writers and editors for industry publications and websites
• Scholarly journal editorial staff or publishers
• Representatives from journals that do not have a featured section or media outlet that reports news from the community at large
• Representatives of public relations firms and the public relations/communications offices of industry, academic, government, and nonprofit organizations

The above individuals must register as regular attendees and pay the required registration fee regardless of affiliation with a news or trade media organization, contracted exhibitor, scientific journal, or publishing company.

ISCB reserves the right, at its sole discretion, to determine an individual’s eligibility for press registration and/or limit the number of passes available.

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Press/Media Badges

Members of the working press/media whose applications for press/media credentials are approved in advance of the meeting must pick up their press/media badges and meeting materials at the registration desk upon arrival at the meeting.

Press/media badges allow access to scientific sessions and the exhibit floor. Badges do not grant access to private or ticketed events, to committee or private meetings, or to the ISCB office or other private areas. ISCB reserves the right to request a member of the press/media leave an area of its meeting space.

Press/Media who plan to register onsite should bring identification, staff credentials, assignment letters, and/or bylined articles.

While at the conference, press/media must:

• Wear or display their official ISCB press/media badge at all times while on site
• Not exchange, loan, or borrow press/media badges. Individuals who do so will be required to leave the meeting
• Follow the rules and the meeting code of conduct including the expected behavior policy
• Attend the ISCB Town Hall meeting

Approved press/media pass holders are required to provide ISCB with copies of all articles written about presentations, scientists, programs, or other activities held during or pertaining to the conference.

For press requests, please contact Nadine Costello, ISCB Marketing and Communications Manager, at This email address is being protected from spambots. You need JavaScript enabled to view it..

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