ImmuneDB: a system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data
Author(s) -
Aaron M. Rosenfeld,
Wenzhao Meng,
Eline T. Luning Prak,
Uri Hershberg
Publication year - 2016
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/btw593
Subject(s) - throughput , computer science , artificial immune system , computational biology , dna sequencing , immune system , biology , artificial intelligence , genetics , telecommunications , gene , wireless
As high-throughput sequencing of B cells becomes more common, the need for tools to analyze the large quantity of data also increases. This article introduces ImmuneDB, a system for analyzing vast amounts of heavy chain variable region sequences and exploring the resulting data. It can take as input raw FASTA/FASTQ data, identify genes, determine clones, construct lineages, as well as provide information such as selection pressure and mutation analysis. It uses an industry leading database, MySQL, to provide fast analysis and avoid the complexities of using error prone flat-files.
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