McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences | Zendy

Nili Tickotsky | Zendy; Tal Sagiv | Zendy; Jaime Prilusky | Zendy; Eric Shifrut | Zendy; Nir Friedman | Zendy

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McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences

Author(s) -

Nili Tickotsky,

Tal Sagiv,

Jaime Prilusky,

Eric Shifrut,

Nir Friedman

Publication year - 2017

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/btx286

Subject(s) - t cell receptor , biology , computational biology , database , antigen , t cell , computer science , immunology , immune system

While growing numbers of T cell receptor (TCR) repertoires are being mapped by high-throughput sequencing, existing methods do not allow for computationally connecting a given TCR sequence to its target antigen, or relating it to a specific pathology. As an alternative, a manually-curated database can relate TCR sequences with their cognate antigens and associated pathologies based on published experimental data.

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