Qualimap: evaluating next-generation sequencing alignment data
Author(s) -
Fernando García-Alcalde,
Konstantin Okonechnikov,
José CarbonellCaballero,
Luis Miguel González Cruz,
Stefan Götz,
Sonia Tarazona,
Joaquı́n Dopazo,
Thomas F. Meyer,
Ana Conesa
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts503
Subject(s) - computer science , data mining , sequence (biology) , protocol (science) , alignment free sequence analysis , java , dna sequencing , sequence alignment , information retrieval , biology , programming language , genetics , medicine , alternative medicine , pathology , gene , peptide sequence , dna
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.
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