Logo image
ImmuneDB, a Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire Sequencing Data
Journal article   Open access   Peer reviewed

ImmuneDB, a Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire Sequencing Data

Aaron M. Rosenfeld, Wenzhao Meng, Eline T. Luning Prak and Uri Hershberg
Frontiers in immunology, v 9, pp 2107-2107
21 Sep 2018
PMID: 30298069
url
https://doi.org/10.3389/fimmu.2018.02107View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

antibody repertoire analysis B-cell receptor bioinformatics database Immunology next-generation sequencing
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 .

Metrics

15 Record Views
40 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Immunology
Logo image