| Literature DB >> 30298069 |
Aaron M Rosenfeld1, Wenzhao Meng2, Eline T Luning Prak2, Uri Hershberg1,3,4.
Abstract
ImmuneDB is a system for storing and analyzing high-throughput immune receptor sequencing data. Unlike most existing tools, which utilize flat-files, ImmuneDB stores data in a well-structured MySQL database, enabling efficient data queries. It can take raw sequencing data as input and annotate receptor gene usage, infer clonotypes, aggregate results, and run common downstream analyses such as calculating selection pressure and constructing clonal lineages. Alternatively, pre-annotated data can be imported and analyzed data can be exported in a variety of common Adaptive Immune Receptor Repertoire (AIRR) file formats. To validate ImmuneDB, we compare its results to those of another pipeline, MiXCR. We show that the biological conclusions drawn would be similar with either tool, while ImmuneDB provides the additional benefits of integrating other common tools and storing data in a database. ImmuneDB is freely available on GitHub at https://github.com/arosenfeld/immunedb, on PyPi at https://pypi.org/project/ImmuneDB, and a Docker container is provided at https://hub.docker.com/r/arosenfeld/immunedb. Full documentation is available at http://immunedb.com.Entities:
Keywords: B-cell receptor; antibody repertoire analysis; bioinformatics; database; next-generation sequencing
Mesh:
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Year: 2018 PMID: 30298069 PMCID: PMC6161679 DOI: 10.3389/fimmu.2018.02107
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561