Qualimap: evaluating next-generation sequencing alignment data
Max Planck Institute for Infection Biology · Centro de Investigacion Principe Felipe
Abstract
MOTIVATION: The sequence alignment/map (SAM) and the binary alignment/map (BAM) formats have become the standard method of representation of nucleotide sequence alignments for next-generation sequencing data. SAM/BAM files usually contain information from tens to hundreds of millions of reads. Often, the sequencing technology, protocol and/or the selected mapping algorithm introduce some unwanted biases in these data. The systematic detection of such biases is a non-trivial task that is crucial to drive appropriate downstream analyses. RESULTS: We have developed Qualimap, a Java application that supports user-friendly quality control of mapping data, by considering sequence features and their genomic…
Citation impact
- FWCI
- 8.87
- Percentile
- 100%
- References
- 12
Authors
9- FGFernando García-AlcaldeCorresponding
Max Planck Institute for Infection Biology, Centro de Investigacion Principe Felipe
- KOKonstantin Okonechnikov
Max Planck Institute for Infection Biology, Centro de Investigacion Principe Felipe
- JCJosé Carbonell‐Caballero
Max Planck Institute for Infection Biology, Centro de Investigacion Principe Felipe
- LMLuis Miguel González Cruz
Max Planck Institute for Infection Biology, Centro de Investigacion Principe Felipe
- SGStefan Götz
Max Planck Institute for Infection Biology, Centro de Investigacion Principe Felipe
Topics & keywords
- Computer science
- Data mining
- Sequence (biology)
- Protocol (science)
- Alignment-free sequence analysis
- Java
- DNA sequencing
- Sequence alignment