Automated benchmarking of peptide-MHC class I binding predictions

Motivation: Numerous in silico methods predicting peptide binding to major histocompatibility complex (MHC) class I molecules have been developed over the last decades. However, the multitude of available prediction tools makes it non-trivial for the end-user to select which tool to use for a given...

Fuld beskrivelse

Na minha lista:
Bibliografiske detaljer
Udgivet i:Bioinformatics
Main Authors: Trolle, Thomas, Metushi, Imir G., Greenbaum, Jason A., Kim, Yohan, Sidney, John, Lund, Ole, Sette, Alessandro, Peters, Bjoern, Nielsen, Morten
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2015
Fag:
Original Papers
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4481849/
https://ncbi.nlm.nih.gov/pubmed/25717196
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv123
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker