|
|||||
|
|
Quantifying protein function specificity in the gene ontology |
|
| Authors: | Louie Brenton Bergen Silas Higdon Roger Kolker Eugene |
| Institution: | 1Bioinformatics and High-throughput Analysis Laboratory, Seattle Children’s Research Institute, Seattle, WA, USA;2Predictive Analytics, Seattle Children’s Hospital;3Department of Biostatistics, University of Washington School of Public Health;4Biomedical and Health Informatics Division, Department of Medical Education and Biomedical Informatics, University of Washington School of Medicine, Seattle, WA, USA |
| Abstract: | Quantitative or numerical metrics of protein function specificity made possible by the Gene Ontology are useful in that they enable development of distance or similarity measures between protein functions. Here we describe how to calculate four measures of function specificity for GO terms: 1) number of ancestor terms; 2) number of offspring terms; 3) proportion of terms; and 4) Information Content (IC). We discuss the relationship between the metrics and the strengths and weaknesses of each. |
| Keywords: | protein annotation protein function function specificity |
| 本文献已被 PubMed 等数据库收录！ | |