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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

GWATCH: a web platform for automated gene association discovery analysis

  • Anton Svitin1Email author,
  • Sergey Malov1, 2,
  • Nikolay Cherkasov1,
  • Paul Geerts3,
  • Mikhail Rotkevich1,
  • Pavel Dobrynin1,
  • Andrey Shevchenko1,
  • Li Guan1,
  • Jennifer Troyer4,
  • Sher Hendrickson5,
  • Holli Hutcheson Dilks6,
  • Taras K Oleksyk7,
  • Sharyne Donfield8,
  • Edward Gomperts9,
  • Douglas A Jabs10,
  • Efe Sezgin11,
  • Mark Van Natta11,
  • P Richard Harrigan12, 13,
  • Zabrina L Brumme14 and
  • Stephen J O’Brien1, 15Email author
Contributed equally
GigaScience20143:18

https://doi.org/10.1186/2047-217X-3-18

Received: 6 June 2014

Accepted: 30 September 2014

Published: 5 November 2014

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Open Peer Review reports

Pre-publication versions of this article and author comments to reviewers are available by contacting info@biomedcentral.com.

Original Submission
6 Jun 2014 Submitted Original manuscript
28 Jul 2014 Reviewed Reviewer Report - Lachlan Coin
31 Jul 2014 Reviewed Reviewer Report - Junwen Wang
28 Aug 2014 Author responded Author comments - Anton Svitin
Resubmission - Version 2
28 Aug 2014 Submitted Manuscript version 2
26 Sep 2014 Author responded Author comments - Anton Svitin
Resubmission - Version 3
26 Sep 2014 Submitted Manuscript version 3
Publishing
30 Sep 2014 Editorially accepted
5 Nov 2014 Article published 10.1186/2047-217X-3-18

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article and author comments to reviewers are available by contacting info@biomedcentral.com. All previous versions of the manuscript and all author responses to the reviewers are also available.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University
(2)
Department of Mathematics, St. Petersburg Electrotechnical University
(3)
Scientific Data Visualization Consultant
(4)
Genetics and Genomics Group, Advanced Technology Program, SAIC-Frederick, National Cancer Institute
(5)
Department of Biology, Shepherd University
(6)
Vanderbilt Technologies for Advanced Genomics, Office of Research, Vanderbilt University Medical Center
(7)
Biology Department, University of Puerto Rico
(8)
Department of Biostatistics, Rho, Inc.
(9)
Division of Hematology-Oncology, Children’s Hospital of Los Angeles
(10)
Departments of Ophthalmology and Medicine, Icahn School of Medicine at Mount Sinai
(11)
Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health
(12)
British Columbia Centre for Excellence in HIV/AIDS
(13)
Division of AIDS, Faculty of Medicine, University of British Columbia
(14)
Faculty of Health Sciences, Simon Fraser University
(15)
Oceanographic Center, Nova Southeastern University

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