Skip to content


  • Research
  • Open Access
  • Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

How do alignment programs perform on sequencing data with varying qualities and from repetitive regions?

  • Xiaoqing Yu1,
  • Kishore Guda2, 3,
  • Joseph Willis4,
  • Martina Veigl2,
  • Zhenghe Wang5,
  • Sanford Markowitz3,
  • Mark D Adams5 and
  • Shuying Sun1, 2Email author
BioData Mining20125:6

Received: 18 January 2012

Accepted: 18 June 2012

Published: 18 June 2012

Back to article

Archived Comments

  1. Was Soft clipping taken into account when determining True/False positive Alignments

    13 March 2013

    Colin Hercus, Novocraft Technologies

    Your paper shows a high false positive rate for alignments from Novoalign and I'm wondering if this could just be an effect of the soft-clipping in Novoalign. Novoalign will soft-clip alignments that have mismatches near the ends of the reads and this results in a shift in position of the alignment compared to the simulated alignment location. Depending on the version of Novoalign you used you might get 3-4bp soft-clipped off a read when the mismatch is in the first/last 3-4bp of the read. This could lead to 6-8% false positive alignments (in 50bp reads) if you don't allow for soft clipping in your evaluation.
    Could you comment on this?

    Would it also be possible for you to provide more details regard the version of Novoalign that you used and provide access to data and scripts that you used.

    Thanks, Colin

    Competing interests

    Director of Novocraft Technologies, commercial interest in Novoalign

Authors’ Affiliations

Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, USA
Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, USA
Department of Medicine, Case Western Reserve University, Cleveland, USA
Department of Pathology, Case Western Reserve University, Cleveland, USA
J. Craig Venter Institute, San Diego, USA