PLOS Computational Biology Benchmarking Collection
Research in computational biology has given rise to a vast number of methods developed to solve scientific problems. For areas in which many approaches exist, researchers have a hard time deciding which tool to select to address a scientific challenge, as essentially all publications introducing a new method will claim better performance than all others. In this collection we gather the research articles published in the PLOS Computational Biology Benchmarking section that will help in this decision process. Our current research articles focus on a guide to binding site comparison and systematically Benchmarking peptide-MHC binding predictors.
Image Credit: Christiane Ehrt
-
PLOS Computational Biology Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes