期刊名称：PLOS COMPUTATIONAL BIOLOGY
 期刊简介(About the journal)
投稿须知(Instructions to Authors)
编辑部信息(Editorial Board)
About the journal
About PLoS Computational Biology
PLoS Computational Biology (eISSN 1553-7358, ISSN 1553-734X) is an open-access, peer-reviewed journal published monthly by the Public Library of Science (PLoS) in association with the International Society for Computational Biology (ISCB).
PLoS Computational Biology is run by an international Editorial Board, headed by the Editor-in-Chief, Philip E. Bourne (University of California, San Diego, USA).
Journal Scope
PLoS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.
Research articles that primarily describe new methods and offer only limited biological insight will be considered only in those exceptional instances in which the method is expected to significantly impact the field of computational biology, typically making substantial breakthroughs in areas of demonstrated importance. Research articles modeling aspects of biological systems should demonstrate both scientific novelty and profound new biological insights. Research articles describing improved or routine methods, models, software, and databases will not be considered by PLoS Computational Biology, and may be more appropriate for PLoS ONE.
Generally, reliability and significance of biological discovery are validated and enriched by experimental studies. Experimental validation is not required for publication, however, nor does experimental validation of a modest biological discovery render a manuscript suitable for PLoS Computational Biology.
For all submissions, authors must clearly provide detail, data, and software to ensure readers' ability to reproduce the models, methods, and results.
Authors unsure of whether their work is within the scope of the journal should submit a presubmission inquiry.
Journal Contents
Outstanding primary research articles on all aspects of computational biology applied to different and integrated biological scales, from molecules and cells to patient populations and ecosystems.
Invited and submitted reviews and perspectives on topics of broad interest to the readership. Historical reviews and high-quality tutorials (including multimedia presentations) teaching important concepts in the field of computational biology.
Announcements of activities of the International Society for Computational Biology (ISCB) and other information of interest to scientists in this and related fields.
Please refer to our Author Guidelines when you are preparing your manuscripts for submission. If you are unsure whether your paper is suitable for PLoS Computational Biology, you can send a Presubmission Inquiry.
Open Access
All works published in PLoS journals are open access, licensed under the Creative Commons Attribution License. Everything is immediately available online without cost to anyone, anywhere—to read, download, redistribute, include in databases, and otherwise use—subject only to the condition that the original authorship is properly attributed. Copyright is retained by the author.
Publications Charges
To provide open access, PLoS journals use a business model in which our expenses—including those of peer review, journal production, and online hosting and archiving—are recovered in part by charging a publication fee to the authors or research sponsors for each article they publish. For PLoS Computational Biology the publication fee is US$2100. Authors who are affiliated with one of our Institutional Members are eligible for a discount on this fee.
We offer a complete or partial fee waiver for authors who do not have funds to cover publication fees. Editors and reviewers have no access to payment information, and hence inability to pay will not influence the decision to publish a paper.
For further information, see our Publication Fee FAQ.
About the International Society for Computational Biology
The International Society for Computational Biology is a scholarly society dedicated to advancing the scientific understanding of living systems through computation. Founded in 1997, the ISCB communicates the significance of our science to the larger scientific community, governments, and the public at large. The ISCB serves a global membership by impacting government and scientific policies, providing high quality publications and meetings, and through distribution of valuable information about training, education, employment and relevant news from related fields. For more information about the ISCB, visit www.iscb.org.
About the Public Library of Science
The Public Library of Science (PLoS) is a non-profit organization of scientists and physicians committed to making the world's scientific and medical literature a freely available public resource. For more information about PLoS, visit www.plos.org.
Instructions to Authors
PLoS Computational Biology Guidelines for Authors
Contents:
- About PLoS Computational Biology
- Criteria for Publication
- Overview of the Editorial Process
- Presubmission Inquiries
- Preparation of Research Articles
- First-Time Submission of Research Articles
- Submission of Revised Research Articles
- Outline of the Production Process
- Other Types of Articles
1. About PLoS Computational Biology
PLoS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.
Research articles that primarily describe new methods and offer only limited biological insight will be considered only in those exceptional instances in which the method is expected to significantly impact the field of computational biology, typically making substantial breakthroughs in areas of demonstrated importance. Research articles modeling aspects of biological systems should demonstrate both scientific novelty and profound new biological insights. Research articles describing improved or routine methods, models, software, and databases will not be considered by PLoS Computational Biology, and may be more appropriate for PLoS ONE.
Generally, reliability and significance of biological discovery are validated and enriched by experimental studies. Experimental validation is not required for publication, however, nor does experimental validation of a modest biological discovery render a manuscript suitable for PLoS Computational Biology.
For all submissions, authors must clearly provide detail, data, and software to ensure readers' ability to reproduce the models, methods, and results.
Authors unsure of whether their work is within the scope of the journal should submit a presubmission inquiry.
To provide open access, PLoS journals use a business model in which our expenses—including those of peer review, journal production, and online hosting and archiving—are recovered in part by charging a publication fee to the authors or research sponsors for each article they publish. For PLoS Computational Biology the publication fee is US$2100. Authors who are affiliated with one of our Institutional Members are eligible for a discount on this fee.
We offer a complete or partial fee waiver for authors who do not have funds to cover publication fees. Editors and reviewers have no access to payment information, and hence inability to pay will not influence the decision to publish a paper.
For further information, see our Publication Fee FAQ.
2. Criteria for Publication
To be considered for publication in PLoS Computational Biology, any given manuscript must satisfy the following criteria:
- Originality
- High importance to researchers in computational biology
- Significant biological insight and general interest to life scientists
- Rigorous methodology
- Substantial evidence for its conclusions
3. Overview of the Editorial Process
Our aim is to provide all authors with an efficient, courteous, and constructive editorial process. To achieve its required level of quality, PLoS Computational Biology is highly selective in the manuscripts that it publishes. To ensure the fairest and most objective decision-making, the editorial process is run as a partnership between the PLoS Computational Biology Editor-in-Chief, a group of Deputy Editors, and a group of academic experts who act as Associate Editors (AEs). These individuals are leaders in their fields and represent the full breadth of computational biology research.
Submitted manuscripts are assigned to an AE by the EIC or by one of the Deputy Editors. The AE is most often a member of the PLoS Computational Biology Editorial Board but occasionally is a guest of the Board. The AE promptly evaluates the paper and decides whether it is likely to meet the requirements of providing a major advance in a particular field. If so, the paper is sent out for peer review.
Expert reviewers are asked to assess the technical and scientific merits of the work. Once all reviews have been received and considered by the editors, a decision letter to the author is drafted.
There are several types of decisions possible:
Upon acceptance, the manuscript enters our production system. Articles are published online weekly, before a complete issue is assembled each month.
4. Presubmission Inquiries
When authors are unsure whether their work satisfies the basic requirements for publication in PLoS Computational Biology, we are happy to consider presubmission inquiries. If you wish to submit an informal presubmission inquiry to see if a manuscript is appropriate, please log in or register for a new account within our online submission system, choosing "Submit Presubmission Inquiry" from the list of Author Tasks.
Responses to these inquiries are normally provided within two or three working days. Responses may take longer if consultation between members of the editorial board is required. Authors who receive an invitation to submit their manuscript online then enter the regular editorial process, but we cannot guarantee that manuscripts will then be approved for in-depth review.
5. Preparation of Research Manuscripts
PLoS Computational Biology considers manuscripts of any length; we encourage the submission of both substantial full-length bodies of work and shorter manuscripts that report novel findings that might be based on a more limited range of experiments. The work must demonstrate its novelty, its importance to a particular field, its biological significance, and conclusions that are justified by the study.
The writing style should be concise and accessible. Editors may make suggestions for how to achieve this, as well as suggestions for cuts or additions that act to strengthen the argument. Our aim is to make the editorial process rigorous and consistent, but not intrusive or overbearing. Authors are encouraged to use their own voice and to decide how best to present their ideas, results, and conclusions.
Although we encourage submissions from around the globe, we require that manuscripts be submitted in English. As a step towards overcoming language barriers, we encourage authors fluent in other languages to provide copies of their full articles or abstracts in other languages. Translations should be submitted as supporting information and listed, together with other supporting information files, at the end of the article text.
Organization of the Manuscript
Most articles published in PLoS Computational Biology are organized into the following sections: Title, Authors, Affiliations, Abstract, Introduction, Results, Discussion, Materials and Methods, Acknowledgments, References, and Figure Legends. Uniformity in format facilitates the experience of readers and users of the journal. There are no specific length restrictions for the remaining sections of the manuscript; however, we urge authors to present and discuss their findings concisely.
Our submission system supports a limited range of formats for text and graphics. If you experience difficulties with the manuscript submission Web site or are concerned about the suitability of your files, please contact the journal (ploscompbiol [at] plos.org).
Title (75 characters or less)
The title should be specific to the project, yet concise. It should be comprehensible to readers outside your field. Avoid specialist abbreviations, if possible. Titles should be presented in title case, meaning that all words except for prepositions, articles, and conjunctions should be capitalized.
Example:
Phylogeny Studied through Protein Domain Content Using the SUPERFAMILY Database
Please also provide a brief "running head" of approximately 40 characters.
Authors and Affiliations
Provide the first names or initials (if used), middle names or initials (if used), surnames, and affiliations—department, university or organization, city, state/province (if applicable), and country—for all authors. One of the authors should be designated as the corresponding author. It is the corresponding author’s responsibility to ensure that the author list, and the summary of the author contributions to the study are accurate and complete. If the article has been submitted on behalf of a consortium, all consortium members and affiliations should be listed after the Acknowledgments.
Abstract
The abstract succinctly introduces the paper; it should not exceed 250-300 words. It should mention the techniques used without going into methodological detail and should summarize the most important results. The abstract is conceptually divided into the following three sections: Background, Methodology/Principal Findings, and Conclusions/Significance. Please do not include any citations in the abstract. Avoid specialist abbreviations.
Introduction
The introduction should put the focus of the manuscript into a broader context. As you compose the introduction, think of readers who are not experts in this field. Include a brief review of the key literature. If there are relevant controversies or disagreements in the field, they should be mentioned so that a non-expert reader can delve into these issues further. The introduction should conclude with a brief statement of the overall aim of the experiments and a comment about whether that aim was achieved.
Results
The results section should provide details of all of the experiments that are required to support the conclusions of the paper. There is no specific word limit for this section, but details of experiments that are peripheral to the main thrust of the article and that detract from the focus of the article should not be included. The section may be divided into subsections, each with a concise subheading. Large datasets, including raw data, should be submitted as supporting files; these are published online alongside the accepted article. The results section should be written in past tense.
Discussion
The discussion should spell out the major conclusions of the work along with some explanation or speculation on the significance of these conclusions. How do the conclusions affect the existing assumptions and models in the field? How can future research build on these observations? What are the key experiments that must be done? The discussion should be concise and tightly argued. The results and discussion may be combined into one section, if desired.
Materials and Methods
This section should provide enough detail for reproduction of the findings. New methods should be described, but well-established methods may simply be referenced. We encourage authors to submit, as separate supporting information files, all appendices, detailed protocols, or details of the algorithms for newer or less well-established methods. These are published online only, but are linked to the article and are fully searchable.
Acknowledgments
People who contributed to the work, but do not fit the criteria for authors should be listed in the Acknowledgments, along with their contributions. You must also ensure that anyone named in the acknowledgments agrees to being so named.
Funding
This section should describe sources of funding that have supported the work. Please also describe the role of the study sponsor(s), if any, in study design; collection, analysis, and interpretation of data; writing of the paper; and decision to submit it for publication.
References
Only published or accepted manuscripts should be included in the reference list. Meetings abstracts, conference talks, or papers that have been submitted but not yet accepted should not be cited. Limited citation of unpublished work should be included in the body of the text only. All personal communications should be supported by a letter from the relevant authors.
PLoS uses the numbered citation (citation-sequence) method. References are listed and numbered in the order that they appear in the text. In the text, citations should be indicated by the reference number in brackets. Multiple citations within a single set of brackets should be separated by commas. Where there are more than three sequential citations, they should be given as a range. Example: "...has been shown previously [1,4?,22]." Make sure the parts of the manuscript are in the correct order for the relevant journal before ordering the citations. Figure captions and tables should be at the end of the manuscript.
Because all references will be linked electronically as much as possible to the papers they cite, proper formatting of the references is crucial. For all references, list the first five authors; add "et al." if there are additional authors. You can include a DOI number for the full-text article as an alternative to or in addition to traditional volume and page numbers. Please use the following style for the reference list:
Published Papers
1. Sanger F, Nicklen S, Coulson AR (1977) DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci U S A 74: 5463?467.
Accepted Papers
Same as above, but "In press" appears instead of the page numbers. Example: Adv Clin Path. In press.
Electronic Journal Articles 1. Loker WM (1996) "Campesinos" and the crisis of modernization in Latin America. Jour Pol Ecol 3. Available: http://www.library.arizona.edu/ej/jpe/volume_3/ascii-lokeriso.txt. Accessed 11 August 2006.
Books
1. Bates B (1992) Bargaining for life: A social history of tuberculosis. Philadelphia: University of Pennsylvania Press. 435 p.
Book Chapters
1. Hansen B (1991) New York City epidemics and history for the public. In: Harden VA, Risse GB, editors. AIDS and the historian. Bethesda: National Institutes of Health. pp. 21?8.
Accession Numbers
All appropriate datasets, images, and information should be deposited in public resources. Please provide the relevant accession numbers (and version numbers, if appropriate). Suggested databases include, but are not limited to:
In addition, as much as possible, please provide accession numbers or identifiers for all entities such as genes, proteins, mutants, diseases, etc., for which there is an entry in a public database, for example:
Providing accession numbers allows linking to and from established databases and integrates your article with a broader collection of scientific information. Please list all accession numbers directly after the Supporting Information section.
Abbreviations
Please keep abbreviations to a minimum. List all non-standard abbreviations in alphabetical order, along with their expanded form. Define them as well upon first use in the text. Non-standard abbreviations should not be used unless they appear at least three times in the text.
Nomenclature
The use of standardized nomenclature in all fields of science and medicine is an essential step toward the integration and linking of scientific information reported in published literature. We will enforce the use of correct and established nomenclature wherever possible:
- We strongly encourage the use of SI units. If you do not use these exclusively, please provide the SI value in parentheses after each value.
- Species names should be italicized (e.g., Homo sapiens).
- Genes, mutations, genotypes, and alleles should be indicated in italics. Use the recommended name by consulting the appropriate genetic nomenclature database, e.g., HUGO for human genes. It is sometimes advisable to indicate the synonyms for the gene the first time it appears in the text. Gene prefixes such as those used for oncogenes or cellular localization should be shown in roman: v-fes, c-MYC, etc.
- The Recommended International Non-Proprietary Name (rINN) of drugs should be provided.
Figures
If the article is accepted for publication, the author will be asked to supply high-resolution, print-ready versions of the figures. Please ensure that the files conform to our Guidelines for Figure and Table Preparation when preparing your figures for production. After acceptance, authors will also be asked to provide an attractive image to highlight their paper online.
Figure Legends
The aim of the figure legend should be to describe the key messages of the figure, but the figure should also be discussed in the text. An enlarged version of the figure and its full legend will often be viewed in a separate window online, and it should be possible for a reader to understand the figure without switching back and forth between this window and the relevant parts of the text. Each legend should have a concise title of no more than 15 words. The legend itself should be succinct, while still explaining all symbols and abbreviations. Avoid lengthy descriptions of methods.
Tables
All tables should have a concise title. Footnotes can be used to explain abbreviations. Citations should be indicated using the same style as outlined above. Tables occupying more than one printed page should be avoided, if possible. Larger tables can be published as online supporting information. Tables must be cell-based; do not use picture elements, text boxes, tabs, or returns in tables. Please ensure that the files conform to our Guidelines for Figure and Table Preparation when preparing your tables for production.
Multimedia and Other Supporting Files
We encourage authors to submit essential supporting files and multimedia files along with their manuscripts. All supporting material will be subject to peer review, and should be smaller than 10 MB in size because of the difficulties that some users will experience in loading or downloading files of a greater size.
Supporting files should fall into one of the following categories: Dataset, Figure, Table, Text, Protocol, Audio, or Video. All supporting information should be referred to in the manuscript with a leading capital S (e.g., Figure S4 for the fourth supporting information figure). Titles (and, if desired, legends) for all supporting information files should be listed in the manuscript under the heading "Supporting Information."
Supporting files may be submitted in a variety of formats, but should be publication-ready, as these files are not copyedited. All video files should be submitted as AVI or Quicktime files.
6. First-Time Submission of Research Articles
Cover Letter
It is important that you include a cover letter with your manuscript. Please explain why this manuscript is suitable for publication in PLoS Computational Biology, why will your paper inspire the other members of your field, and how will it drive research forward.
Electronic Submission
Detailed instructions for submission can be found on the PLoS Computational Biology Manuscript Submission and Peer Review Web site. For your initial submission, we recommend you upload your entire manuscript, including tables and figures, as a single PDF file. This will save you time in uploading and allows editors and reviewers to view and/or download your manuscript in one easy step. If you choose to upload files individually, they will be combined into a single PDF file that you must approve at the end of the submission process.
Electronic Formats
Text files can be submitted in the following formats: Word, RTF, or PDF. Any articles that have been prepared in LaTeX will be accepted for review, but only in PDF format. Post acceptance, text files (RTF or Word) of the revised manuscript and tables are required for use in the pre-production and copyediting processes. Graphics files should be submitted in the following formats: EPS, TIFF, or PDF.
Before submission, please consult our Submission Checklist.
7. Submission of Revised Research Articles
If you are invited to submit a revised manuscript, we will ask for an editable text and publication-quality files for display items (figures and tables) at that time. Together with your response to editors?and/or reviewers?comments, please provide an author summary of your work and a striking image (if one is available).
Author Summary
We ask that all authors of research articles that have been returned for revision include a 150-200 word non-technical summary of the work as part of the revised manuscript immediately following the Abstract. Subject to editorial review and author revision, this short text is published with all research articles as a highlighted text box.
Distinct from the scientific abstract, the author summary should highlight where the work fits in a broader context of life science knowledge and why these findings are important to an audience that includes both scientists and non-scientists.
Authors should avoid the use of acronyms and complex scientific terms and write the text using the first-person voice. Authors may benefit from consulting with a science writer or press officer to ensure they effectively communicate their findings to a general audience.
Examples are available at:
Long-Range Periodic Patterns in Microbial Genomes Indicate Significant Multi-Scale Chromosomal Organization
Structure Modeling of All Identified G Protein–Coupled Receptors in the Human Genome
The Fragile Breakage versus Random Breakage Models of Chromosome Evolution
Cover Image
Authors are encouraged to provide a striking image (or multimedia clip) to accompany their article, if one is available. The image (or video clip) will be considered as cover art and/or for publication as a ‘featured image?or article highlight on our Web site. Before resubmission, please consult our Checklist for Revised Submissions.
8. Outline of the Production Process
Once an article has been accepted for publication, the manuscript files are transferred into our production system. Manuscripts are then copyedited by professional copyeditors who correspond directly with the authors concerning queries and corrections. Once the article has been typeset, PDF proofs are generated so that authors can approve all editing and layout. The prompt return of proofs by authors will expedite the production process.
Articles are published online weekly, before a complete issue is assembled each month. PLoS Computational Biology aims to publish Research Articles within a month of acceptance, after copyediting, formatting, and proofreading. Authors can also have an Early Online Release version of their work posted immediately upon acceptance into our production system to allow rapid access to their work.
9. Other Types of Articles
The front section of PLoS Computational Biology is a forum for the publication of articles of broad interest to the computational biology community. We will consider short items of correspondence (fewer than 600 words). All other articles in the front section of PLoS Computational Biology are by invitation. If you have a suggestion for a topic or an author, however, we are happy to consider the idea. Please contact the editors (ploscompbiol [at] plos.org).
Editorial Board
PLoS Computational Biology Editorial Board
For editorial inquiries, please e-mail ploscompbiol [at] plos.org
Founding Editors
- Philip E. Bourne, Editor-in-Chief
- Skaggs School of Pharmacy and Pharmaceutical Sciences
University of California, San Diego
La Jolla, CA, USA
E-mail: pbourne [at] plos.org
- Steven E. Brenner
- University of California, Berkeley
- Michael Eisen
- University of California, Berkeley
Deputy Editors
- Karl Friston
- Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College
London, UK
E-mail: k.friston [at] fil.ion.ucl.ac.uk
- Barbara Bryant
- Millennium Pharmaceuticals
Cambridge, MA, USA
E-mail: Barb.Bryant [at] mpi.com
- Gary Stormo
- Washington University Medical School
St. Louis, MO, USA
E-mail: stormo [at] ural.wustl.edu
- Adam Paul Arkin
- University of California, Berkeley (LBL)
Berkeley, CA, USA
E-mail: aparkin [at] lbl.gov
- Patricia Babbitt
- University of California, San Francisco
San Francisco, CA, USA
E-mail: babbitt [at] cgl.ucsf.edu
Reviews Editors
- Carl T. Bergstrom
- University of Washington
Seattle, WA, USA
E-mail: cbergst [at] u.washington.edu
- Johanna McEntyre
- National Center for Biotechnology Information
Bethesda, MD, USA
E-mail: mcentyre [at] ncbi.nlm.nih.gov
- Rolf Kötter
- Heinrich Heine University
Düsseldorf, Germany
E-mail: rk [at] hirn.uni-duesseldorf.de
Education Editor
- Fran Lewitter
- Whitehead Institute
Cambridge, MA, USA
E-mail: lewitter [at] wi.mit.edu
ISCB Editor
- Olga Troyanskaya
- Princeton University
Princeton, NJ, USA
E-mail: ogt [at] cs.princeton.edu
Associate Editors
- Manny Ares
- University of California, Santa Cruz
RNA genomics, alternative splicing, gene regulation
- Anand Asthagiri
- California Institute of Technology
Biomolecular cell engineering, signaling networks
- Sebastian Bonhoeffer
- Swiss Federal Institute of Technology Zürich
Population biology, immunology
- Peer Bork
- European Molecular Biology Laboratory Heidelberg
Functional analysis, genotype to phenotype, structure, evolution
- Chris Burge
- Massachusetts Institute of Technology
Expression, genome analysis, experiment and computation
- Edmund J. Crampin
- The University of Auckland
Computational cell physiology, systems biology
- Rob J. de Boer
- Utrecht University
Theoretical Immunology
- Richard Durbin
- Wellcome Trust Sanger Institute
Large scale sequencing and analysis
- Jonathan Eisen
- University of California, Davis
DNA repair, extremophiles, microbial evolution, genome evolution, phylogenetics
- David Eisenberg
- University of California, Los Angeles
Functional analysis from structure and sequence
- Neil M. Ferguson
- Imperial College London
Epidemiology, epidemic modelling, population biology, infectious diseases
- Mark Gerstein
- Yale University
Genomics, structure, expression
- Lyle J. Graham
- Universit?Ren?Descartes, Centre National de la Recherche Scientifique
Computational neuroscience, systems neuroscience, electrophysiology
- David Haussler
- University of California, Santa Cruz
Genomics, machine learning
- Steve Henikoff
- Fred Hutchinson Cancer Research Center
Chromosome structure function and evolution, sequence analysis
- David Hillis
- University of Texas at Austin
Molecular genetics, relationships among populations, species, higher taxa
- Peter Hunter
- University of Auckland
Soft tissue biomechanics, Electro-physiology, Cell biophysics, Finite element techniques
- Peter Keightley
- University of Edinburgh
Quantitive genetics, molecular evolution
- Roy Kishony
- Harvard University
Networks, evolution, genetic interactions
- Luhua Lai
- Peking University
Protein structure function prediction
- Chip Lawrence
- Brown University
Transcription regulation using Bayesian statistical methods
- Simon Levin
- Princeton University
Ecosystems and the biosphere
- Michael Levitt
- Stanford University
Computational structural biology, protein folding, sequences and statistical methods
- Wen-Hsiung Li
- University of Chicago
Molecular and genomic evolution
- Edward M. Marcotte
- University of Texas at Austin
Proteomics, networks, protein interactions, systems biology
- Hanah Margalit
- Hebrew University of Jerusalem
Regulatory pathways
- John Mattick
- University of Queensland
RNA based regulation
- Lauren Ancel Meyers
- University of Texas at Austin
Microbial population biology, RNA structural evolution, network epidemiology
- Satoru Miyano
- The University of Tokyo
Gene networks, Computational systems biology, Microarray data analysis
- Uwe Ohler
- Duke University
Eukaryotic gene regulation: DNA and RNA sequence analysis, image analysis
- Christos A. Ouzounis
- Centre for Research and Technology Hellas
Comparative genomics, genome databases, metabolic pathways
- Yitzhak (Tzachi) Pilpel
- Weizmann Institute of Science
Regulatory genomics, transcription, genetic interactions
- Aviv Regev
- Massachusetts Institute of Technology
Broad Institute of MIT and Harvard
Molecular networks, comparative genomics, molecular evolution, genomics (including disease genomics), machine learning, gene expression, gene regulation
- Burkhard Rost
- Columbia University
Prediction of protein structure and function, machine learning, evolution, and alignments
- Rob Russell
- European Molecular Biology Laboratory Heidelberg
Protein structure, interactions, networks
- Andrey Rzhetsky
- Columbia University
Text mining, molecular networks, evolution
- Andrej Sali
- University of California, San Francisco
Structure prediction, assemblies, functional annotation
- Chris Sander
- Memorial Sloan-Kettering Cancer Center
Systems biology, genomics, structural biology
- Herbert Sauro
- University of Washington
Network Physiology, Standards, Software, Synthetic Biology
- Daniel Segr?
- Boston University
Biochemical networks, genomics, molecular evolution
- Eugene Shakhnovich
- Harvard University
Protein folding and design/Molecular Evolution/Computational drug design
- Arend Sidow
- Stanford University
Comparative genomics, molecular evolution, functional prediction
- Janet Thornton
- European Bioinformatics Institute
Functional analysis from structure and sequence
- Greg Tucker-Kellogg
- Lilly - Singapore Centre for Drug Discovery
Systems biology/genomics/drug discovery and development
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