Decombinator V4: an improved AIRR-C compliant-software package for T-cell receptor sequence annotation? | Zendy

Thomas Peacock | Zendy; James Heather | Zendy; Tahel Ronel | Zendy; Benny Chain | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Decombinator V4: an improved AIRR-C compliant-software package for T-cell receptor sequence annotation?

Author(s) -

Thomas Peacock,

James Heather,

Tahel Ronel,

Benny Chain

Publication year - 2020

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btaa758

Subject(s) - annotation , software , computer science , software package , sequence (biology) , computational biology , chemistry , artificial intelligence , biology , programming language , biochemistry

Analysis of the T-cell receptor repertoire is rapidly entering the general toolbox used by researchers interested in cellular immunity. The annotation of T-cell receptors (TCRs) from raw sequence data poses specific challenges, which arise from the fact that TCRs are not germline encoded, and because of the stochastic nature of the generating process.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research