Journal article
ImmuneDB: a system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data
BIOINFORMATICS, v 33(2), pp 292-293
15 Jan 2017
PMID: 27616708
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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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Details
- Title
- ImmuneDB: a system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data
- Creators
- Aaron M. Rosenfeld - Drexel UniversityWenzhao Meng - University of PennsylvaniaEline T. Luning Prak - University of PennsylvaniaUri Hershberg - Drexel University
- Publication Details
- BIOINFORMATICS, v 33(2), pp 292-293
- Publisher
- Oxford Univ Press
- Number of pages
- 2
- Grant note
- P01AI106697 / NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID) P01AI106697; NIH P30-CA016520 / National Institute of Allergy and Infectious Diseases of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Allergy & Infectious Diseases (NIAID)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000397093200022
- Scopus ID
- 2-s2.0-85028328879
- Other Identifier
- 991019167679904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability