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Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Increased frequency of single base substitutions in a population of transcripts expressed in cancer cells

  • Laurent Bianchetti1Email author,
  • David Kieffer2,
  • Rémi Féderkeil3 and
  • Olivier Poch2
BMC Cancer201212:509

DOI: 10.1186/1471-2407-12-509

Received: 22 June 2012

Accepted: 9 October 2012

Published: 8 November 2012

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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
22 Jun 2012 Submitted Original manuscript
Resubmission - Version 2
Submitted Manuscript version 2
Resubmission - Version 3
Submitted Manuscript version 3
17 Aug 2012 Reviewed Reviewer Report - Pascal Pineau
27 Aug 2012 Reviewed Reviewer Report - Olivier Gandrillon
6 Sep 2012 Author responded Author comments - Laurent Bianchetti
Resubmission - Version 4
6 Sep 2012 Submitted Manuscript version 4
24 Sep 2012 Author responded Author comments - Laurent Bianchetti
Resubmission - Version 5
24 Sep 2012 Submitted Manuscript version 5
2 Oct 2012 Author responded Author comments - Laurent Bianchetti
Resubmission - Version 6
2 Oct 2012 Submitted Manuscript version 6
Publishing
9 Oct 2012 Editorially accepted
8 Nov 2012 Article published 10.1186/1471-2407-12-509

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)
Plate-forme Bioinformatique de Strasbourg (BIPS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS/INSERM/ULP)
(2)
Laboratoire de Bioinformatique et Génomique Intégratives (LBGI), Institut de Génétique et de Biologie Moléculaire et Cellulaire (CNRS/INSERM/ULP)
(3)
IRMA-UdS, Equipe Statistique

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