NeoFox: annotating neoantigen candidates with neoantigen features

14Citations
Citations of this article
21Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Summary: 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.

Cite

CITATION STYLE

APA

Lang, F., Riesgo-Ferreiro, P., Löwer, M., Sahin, U., & Schrörs, B. (2021). NeoFox: annotating neoantigen candidates with neoantigen features. Bioinformatics, 37(22), 4246–4247. https://doi.org/10.1093/bioinformatics/btab344

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free