FunSimMat update: new features for exploring functional similarity.
Quantifying the functional similarity of genes and their products based on Gene Ontology annotation is an important tool for diverse applications like the analysis of gene expression data, the prediction and validation of protein functions and interactions, and the prioritization of disease genes. The Functional Similarity Matrix (FunSimMat, http://www.funsimmat.de) is a comprehensive database providing various precomputed functional similarity values for proteins in UniProtKB and for protein families in Pfam and SMART. With this update, we significantly increase the coverage of FunSimMat by adding data from the Gene Ontology Annotation project as well as new functional similarity measures. The applicability of the database is greatly extended by the implementation of a new Gene Ontology-based method for disease gene prioritization. Two new visualization tools allow an interactive analysis of the functional relationships between proteins or protein families. This is enhanced further by the introduction of an automatically derived hierarchy of annotation classes. Additional changes include a revised user front-end and a new RESTlike interface for improving the user-friendliness and online accessibility of FunSimMat.
Schlicker
Andreas
A
Max Planck Institute for Informatics, Campus E1.4, 66123 Saarbrücken, Germany. andreas.schlicker@mpi-inf.mpg.de
Albrecht
Mario
M
D000818:Animals; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D030541:Databases, Genetic; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D020869:Gene Expression Profiling; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D025941:Protein Interaction Mapping; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000235:genetics* / Q000502:physiology; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled
D011506:Proteins