ImmuneDB: A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data

Aaron M. Rosenfeld; Wenzhao Meng; Eline T. Luning Prak; Uri Hershberg

doi:10.1093/bioinformatics/btw593

ImmuneDB: A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data

Aaron M. Rosenfeld, Wenzhao Meng, Eline T. Luning Prak, Uri Hershberg

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: 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.

Original language	English
Pages (from-to)	292-293
Number of pages	2
Journal	Bioinformatics
Volume	33
Issue number	2
DOIs	https://doi.org/10.1093/bioinformatics/btw593
State	Published - 15 Jan 2017
Externally published	Yes

Bibliographical note

Publisher Copyright:
© The Author 2017. Published by Oxford University Press. All rights reserved.

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btw593

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ImmuneDB: A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data

Abstract

Bibliographical note

ASJC Scopus subject areas

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