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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Feature analysis for classification of trace fluorescent labeled protein crystallization images

  • Madhav Sigdel1,
  • Imren Dinc2,
  • Madhu S. Sigdel1,
  • Semih Dinc1,
  • Marc L. Pusey3 and
  • Ramazan S. Aygun1Email author
BioData Mining201710:14

DOI: 10.1186/s13040-017-0133-9

Received: 18 June 2016

Accepted: 7 April 2017

Published: 27 April 2017

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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
18 Jun 2016 Submitted Original manuscript
16 Jul 2016 Reviewed Reviewer Report - Kazunori Okada
28 Jul 2016 Reviewed Reviewer Report - Rayus Kuplicki
1 Aug 2016 Reviewed Reviewer Report - Crane Huang
3 Oct 2016 Author responded Author comments - Madhav Sigdel
Resubmission - Version 2
3 Oct 2016 Submitted Manuscript version 2
24 Oct 2016 Reviewed Reviewer Report - Kazunori Okada
24 Oct 2016 Reviewed Reviewer Report - Rayus Kuplicki
6 Jan 2017 Author responded Author comments - Madhav Sigdel
Resubmission - Version 3
6 Jan 2017 Submitted Manuscript version 3
5 Feb 2017 Reviewed Reviewer Report - Kazunori Okada
7 Mar 2017 Author responded Author comments - Madhav Sigdel
Resubmission - Version 4
7 Mar 2017 Submitted Manuscript version 4
Publishing
7 Apr 2017 Editorially accepted
27 Apr 2017 Article published 10.1186/s13040-017-0133-9

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)
Computer Science Department, University of Alabama in Huntsville
(2)
Computer Science Department, Troy University
(3)
iXpressGenes, Inc.

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