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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

No-boundary thinking in bioinformatics research

  • Xiuzhen Huang1Email author,
  • Barry Bruce2,
  • Alison Buchan3,
  • Clare Bates Congdon4,
  • Carole L Cramer5,
  • Steven F Jennings6,
  • Hongmei Jiang7,
  • Zenglu Li8,
  • Gail McClure9,
  • Rick McMullen10,
  • Jason H Moore11,
  • Bindu Nanduri12,
  • Joan Peckham13,
  • Andy Perkins14,
  • Shawn W Polson15,
  • Bhanu Rekepalli16,
  • Saeed Salem17,
  • Jennifer Specker18,
  • Donald Wunsch19,
  • Donghai Xiong20,
  • Shuzhong Zhang21 and
  • Zhongming Zhao22
BioData Mining20136:19

https://doi.org/10.1186/1756-0381-6-19

Received: 5 September 2013

Accepted: 31 October 2013

Published: 6 November 2013

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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
5 Sep 2013 Submitted Original manuscript
16 Sep 2013 Reviewed Reviewer Report - James Foster
2 Oct 2013 Reviewed Reviewer Report - Marylyn Ritchie
27 Oct 2013 Author responded Author comments - Xiuzhen Huang
Resubmission - Version 2
27 Oct 2013 Submitted Manuscript version 2
Resubmission - Version 3
Submitted Manuscript version 3
29 Oct 2013 Author responded Author comments - Xiuzhen Huang
Resubmission - Version 4
29 Oct 2013 Submitted Manuscript version 4
Publishing
31 Oct 2013 Editorially accepted
6 Nov 2013 Article published 10.1186/1756-0381-6-19

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)
Department of Computer Science, Arkansas State University
(2)
Sustainable Energy & Education Research Center, University of Tennessee at Knoxville
(3)
Department of Microbiology, University of Tennessee
(4)
Department of Computer Science, University of Southern Maine
(5)
Arkansas Biosciences Institute, Department of Biological Sciences, Arkansas State University
(6)
Department of Information Science, University of Arkansas at Little Rock
(7)
Department of Statistics, Northwestern University
(8)
Center for Applied Genetic Technologies, The University of Georgia
(9)
Arkansas Science & Technology Authority, Arkansas NSF EPSCoR
(10)
Arkansas High Performance Computing Center, University of Arkansas at Fayetteville
(11)
The Geisel School of Medicine, Dartmouth College
(12)
Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University
(13)
Department of Computer Science and Statistics, University of Rhode Island
(14)
Department of Computer Science and Engineering, Mississippi State University
(15)
Center for Bioinformatics and Computational Biology, University of Delaware
(16)
National Institute for Computational Sciences, Department of Electrical Engineering and Computer Science, UTK and ORNL
(17)
Department of Computer Science, North Dakota State University
(18)
Graduate School of Oceanography, University of Rhode Island
(19)
Department of Electrical & Computer Engineering, Missouri University of Science & Technology
(20)
Department of Pharmacology and Toxicology, Medical College of Wisconsin
(21)
Department of Industrial and Systems Engineering, University of Minnesota
(22)
Department of Biomedical Informatics, Vanderbilt University School of Medicine

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