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. 2016 Jan 15;32(2):292-4.
doi: 10.1093/bioinformatics/btv566. Epub 2015 Oct 1.

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

Konstantin Okonechnikov  1 , Ana Conesa  2 , Fernando García-Alcalde  1
Affiliations

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

Konstantin Okonechnikov et al. Bioinformatics. .

Abstract

Motivation: Detection of random errors and systematic biases is a crucial step of a robust pipeline for processing high-throughput sequencing (HTS) data. Bioinformatics software tools capable of performing this task are available, either for general analysis of HTS data or targeted to a specific sequencing technology. However, most of the existing QC instruments only allow processing of one sample at a time.

Results: Qualimap 2 represents a next step in the QC analysis of HTS data. Along with comprehensive single-sample analysis of alignment data, it includes new modes that allow simultaneous processing and comparison of multiple samples. As with the first version, the new features are available via both graphical and command line interface. Additionally, it includes a large number of improvements proposed by the user community.

Availability and implementation: The implementation of the software along with documentation is freely available at http://www.qualimap.org.

Contact: meyer@mpiib-berlin.mpg.de

Supplementary information: Supplementary data are available at Bioinformatics online.

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Figures

Fig. 1.
Fig. 1.
Multi-sample BAM QC analysis of a γH2AX ChiP-seq experiment in human cells comparing four different conditions (Koeppel et al., 2015). The sequencing was performed in three batches. A single batch included samples in all conditions. (A) The GC-content distribution indicates a problem with the samples from the second batch. (B) The PCA biplot also demonstrates the second batch grouped together, despite different biological treatments
See this image and copyright information in PMC

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