Skip to content


BioData Mining

Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends

  • Emad A Mohammed1,
  • Behrouz H Far1 and
  • Christopher Naugler2Email author
Contributed equally
BioData Mining20147:22

Received: 5 June 2014

Accepted: 18 October 2014

Published: 29 October 2014

Back to article

Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
5 Jun 2014 Submitted Original manuscript
23 Aug 2014 Reviewed Reviewer Report - Andrea Omicini
12 Sep 2014 Author responded Author comments - Emad Mohammed
Resubmission - Version 2
12 Sep 2014 Submitted Manuscript version 2
14 Oct 2014 Reviewed Reviewer Report - Andrea Omicini
Resubmission - Version 3
Submitted Manuscript version 3
18 Oct 2014 Editorially accepted
29 Oct 2014 Article published 10.1186/1756-0381-7-22

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 are available by contacting

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

Authors’ Affiliations

Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada
Department of Pathology and Laboratory Medicine, University of Calgary and Calgary Laboratory Services, Calgary, Canada