Correct machine learning on protein sequences: a peer-reviewing perspective

Machine learning applications in genetics and genomics

(2015) Maxwell W. Libbrecht et al.   NATURE REVIEWS GENETICS

Prediction of lysine post-translational modifications using bioinformatic tools

(2014) Daniel Schwartz   Essays in Biochemistry

Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility

(2013) C. Mirabello et al.   BIOINFORMATICS

Pattern recognition in bioinformatics

(2013) D. de Ridder et al.   BRIEFINGS IN BIOINFORMATICS

A large-scale evaluation of computational protein function prediction

(2013) Predrag Radivojac et al.   NATURE METHODS

Activities at the Universal Protein Resource (UniProt)

(2013)   NUCLEIC ACIDS RESEARCH

Pfam: the protein families database

(2013) Robert D. Finn et al.   NUCLEIC ACIDS RESEARCH

Critical assessment of methods of protein structure prediction (CASP) - round x

(2013) John Moult et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

AMS 4.0: consensus prediction of post-translational modifications in protein sequences

(2012) Dariusz Plewczynski et al.   AMINO ACIDS

The rise and fall of supervised machine learning techniques

(2011) L. J. Jensen et al.   BIOINFORMATICS

Selection of representative protein data sets

(2010) Uwe Hobohm et al.   PROTEIN SCIENCE

TOPCONS: consensus prediction of membrane protein topology

(2009) A. Bernsel et al.   NUCLEIC ACIDS RESEARCH

QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information

(2009) Pascal Benkert et al.   BMC STRUCTURAL BIOLOGY

TESE: generating specific protein structure test set ensembles

(2008) F. Sirocco et al.   BIOINFORMATICS

Predicting Protein Post-translational Modifications Using Meta-analysis of Proteome Scale Data Sets

(2008) Daniel Schwartz et al.   MOLECULAR & CELLULAR PROTEOMICS

The future of biocuration

(2008) Doug Howe et al.   NATURE