TY - JOUR
T1 - ImmuneDB, a novel tool for the analysis, storage, and dissemination of immune repertoire sequencing data
AU - Rosenfeld, Aaron M.
AU - Meng, Wenzhao
AU - Luning Prak, Eline T.
AU - Hershberg, Uri
N1 - Publisher Copyright: © 2007 - 2018 Frontiers Media S.A. All Rights Reserved.
PY - 2018/9/21
Y1 - 2018/9/21
N2 - 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.
AB - 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.
KW - Antibody repertoire analysis
KW - B-cell receptor
KW - Bioinformatics
KW - Database
KW - Next-generation sequencing
UR - http://www.scopus.com/inward/record.url?scp=85054779808&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2018.02107
DO - 10.3389/fimmu.2018.02107
M3 - Article
C2 - 30298069
SN - 1664-3224
VL - 9
JO - Frontiers in Immunology
JF - Frontiers in Immunology
IS - SEP
M1 - 2107
ER -