Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data
Author(s) -
Konstantin Okonechnikov,
Ana Conesa,
Fernando García-Alcalde
Publication year - 2015
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/btv566
Subject(s) - computer science , software , pipeline (software) , throughput , data mining , sample (material) , documentation , graphical user interface , data processing , task (project management) , interface (matter) , database , operating system , chemistry , management , bubble , chromatography , maximum bubble pressure method , economics , wireless
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.
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