NeoFox: annotating neoantigen candidates with neoantigen features | Zendy

Franziska Lang | Zendy; Pablo Riesgo-Ferreiro | Zendy; Martin Löwer | Zendy; Uǧur Şahin | Zendy; Barbara Schrörs | Zendy

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NeoFox: annotating neoantigen candidates with neoantigen features

Author(s) -

Franziska Lang,

Pablo Riesgo-Ferreiro,

Martin Löwer,

Uǧur Şahin,

Barbara Schrörs

Publication year - 2021

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/btab344

Subject(s) - python (programming language) , mit license , computer science , toolbox , license , annotation , open source , programming language , computational biology , software , artificial intelligence , biology , operating system

The detection and prediction of true neoantigens is of great importance for the field of cancer immunotherapy. Wesearched the literature for proposed neoantigen features and integrated them into a toolbox called NEOantigen Feature toolbOX (NeoFox). NeoFox is an easy-to-use Python package that enables the annotation of neoantigen candidates with 16 neoantigen features.

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