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Distinguishing highly similar gene isoforms with a clustering-based bioinformatics analysis of PacBio single-molecule long reads

  • Ma Liang1,
  • Castle Raley2,
  • Xin Zheng2,
  • Geetha Kutty1,
  • Emile Gogineni1,
  • Brad T. Sherman2,
  • Qiang Sun2,
  • Xiongfong Chen2,
  • Thomas Skelly2,
  • Kristine Jones2,
  • Robert Stephens2,
  • Bin Zhou3,
  • William Lau3,
  • Calvin Johnson3,
  • Tomozumi Imamichi2,
  • Minkang Jiang2,
  • Robin Dewar2,
  • Richard A. Lempicki2,
  • Bao Tran2,
  • Joseph A. Kovacs1 and
  • Da Wei Huang2, 4Email author
Contributed equally
BioData Mining20169:13

https://doi.org/10.1186/s13040-016-0090-8

Received: 18 April 2015

Accepted: 22 March 2016

Published: 5 April 2016

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Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
18 Apr 2015 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
22 Mar 2016 Editorially accepted
5 Apr 2016 Article published 10.1186/s13040-016-0090-8

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 info@biomedcentral.com.

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

Authors’ Affiliations

(1)
Critical Care Medicine Department, Clinical Center, Frederick, USA
(2)
Leidos BioMedical Research, Inc., Frederick National Laboratory for Cancer Research, NIH, Frederick, USA
(3)
Center of Information Technology, National Institutes of Health (NIH), Bethesda, USA
(4)
Current Affiliation: National Cancer Institute, NIH, Bethesda, USA

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