6533b853fe1ef96bd12ad559

RESEARCH PRODUCT

NeoFox: annotating neoantigen candidates with neoantigen features

Pablo Riesgo-ferreiroFranziska LangMartin LöwerBarbara SchrörsUgur Sahin

subject

Statistics and ProbabilitySupplementary data0303 health sciencesInformation retrievalComputer science030302 biochemistry & molecular biologyPython (programming language)BiochemistryToolbox3. Good healthComputer Science Applications03 medical and health sciencesComputational MathematicsAnnotationOpen sourceComputational Theory and MathematicsMolecular Biologycomputer030304 developmental biologycomputer.programming_language

description

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. Availability and implementation NeoFox is freely available as an open source Python package released under the GNU General Public License (GPL) v3 license at https://github.com/TRON-Bioinformatics/neofox. Supplementary information Supplementary data are available at Bioinformatics online.

yearjournalcountryeditionlanguage
2020-12-16Bioinformatics
10.1093/bioinformatics/btab344http://dx.doi.org/10.1093/bioinformatics/btab344