SPONSORS:
RECOMB/ISCB RegSysGen 2013 Sponsor - IBM Research

RECOMB/ISCB RegSysGen 2013 Sponsor - Columbia University Medical Center

RECOMB/ISCB RegSysGen 2013 Sponsor -  Center for the Multiscale Analysis of Genomic and Cellular Networks (MAGNet)

RECOMB/ISCB RegSysGen 2013 Sponsor -  Heritage Provider Network (HPN)

Conference Reception Sponsor


RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges

SUBMIT A PAPER


The 2013 RECOMB/ISCB Conference on Regulatory and Systems Genomics has developed partnerships with Genome Research, G3: Gene / Genome / Genetics and the Journal of Computational Biology to publish full-length papers submitted to the conference.

The deadline for submitting all papers is Friday, June 28, 2013, at 11:59 pm (Pacific Time).

We will accept two types of papers for consideration for publication.

  • Research article papers will be considered for publication in Genome Research and G3: Genes / Genomes / Genetics. Appropriate experimental validation data is required for manuscript to be considered for this track.
  • Theory papers will be considered for publication in the Journal of Computational Biology and to G3: Genes / Genomes / Genetics.

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How to submit your paper

Please use this link to EasyChair to submit your paper. Please DO NOT submit your manuscript directly to the journal.

You will be asked to provide information about yourself and your coauthors, the title and abstract for your paper, and keywords. The button to upload your paper is at the bottom of the form, and EasyChair requires that it be submitted as a pdf file. If you do not already have an EasyChair account, you can log in to create one at the link.

IMPORTANT: In the "Keywords" field, please indicate the journal(s) whom you would like to consider your paper for publication. You can indicate Genome Research, G3: Genes / Genome / Genetics or Journal of Computational Biology as keywords. If you would like to submit your paper for consideration at all publications, please indicate the names of all journals as separate keywords on three lines, in addition to other keywords that are relevant to your paper.

Please see the journal websites for information about formatting requirements (see Genome Research format, G3: Genes / Genomes, Genetics format and Journal of Computational Biology format). Abstracts should be a maximum of 250 words.
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Review process

Manuscripts will be reviewed by the program committee, and papers judged to be of high merit will be part of the conference proceedings published by the Journal of Computational Biology. A subset of selected papers will also be submitted to the editorial board of Genome Research for their consideration on an expedited basis. If your paper is selected for publication in Genome Research or another journal, it will not be eligible for publication in the proceedings of Journal of Computational Biology. All accepted papers will be presented orally at the conference.

Only papers that are judged by the organizing committee to be of the highest quality will be selected for submission to our partner journals. If you submit a paper and the committee decides against recommending it for publication, we may still invite you to participate in a poster session.
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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:

  •     Modeling and recognition of regulatory motifs and modules
  •     Chromatin state establishment, maintenance, and role in development
  •     Post-transcriptional regulation and small regulatory RNAs
  •     Regulatory networks, metabolic networks, proteomic networks
  •     Cellular signatures of biological responses and disease states
  •     Phosphorylation, metabolic fluxes, systematic phenotyping
  •     Mathematical modeling and simulation of biological systems
  •     Methods for systematic validation of high-throughput biological predictions
  •     Approaches for aggregation of results arising from different methodologies
  •     Translational systems biology

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