henhaobio
Sign in

bioRxivBioinformaticsPreprint

Massively scalable genetic analysis of antibody repertoires

Bryan S. BrineyiD, Dennis R. BurtoniD

PDFDOICode

Abstract

With technical breakthroughs in the throughput and read-length of next-generation sequencing platforms, antibody repertoire sequencing is becoming an increasingly important tool for detailed characterization of the immune response. There is a need for open, scalable software for the genetic analysis of repertoire-scale antibody sequence data. To address this gap, we have developed the ab[x] package of software tools. There are three core components of the ab[x] toolkit, all of which are freely available: abcloud (github.com/briney/abcloud) for deployment and management of computational resources on Amazons Elastic Compute Cloud; abstar (github.com/briney/abstar) for pre-processing, germline gene assignment and primary annotation of antibody sequence data; and abutils (github.com/briney/abutils), which provides utilities for interactive downstream analysis of antibody repertoire data.

Citations
25

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISKovaltsuk '18Briney '22Zhang '19Dudzic '24Młokosiewic '22Miho '19
64% semantic matchImmunology
A. Kovaltsuk, J. Leem, S. Kelm+3 more·bioRxiv·May 19, 2018