Answers are grounded in this paper and cite their sources.
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 Amazon’s 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.
No takes yet. Share an insight, caveat, or question.
Briney et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: