Assigning functional linkages to proteins using phylogenetic profiles and continuous phenotypes
Author(s) -
Orland Gonzalez,
Ralf Zimmer
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn106
Subject(s) - phenotype , trait , phylogenetic tree , function (biology) , biology , gene , homology (biology) , a priori and a posteriori , phenotypic trait , genome , computational biology , binary number , computer science , genetics , mathematics , philosophy , epistemology , programming language , arithmetic
A class of non-homology-based methods for protein function prediction relies on the assumption that genes linked to a phenotypic trait are preferentially conserved among organisms that share the trait. These methods typically compare pairs of binary strings, where one string encodes the phylogenetic distribution of a trait and the other of a protein. In this work, we extended the approach to automatically deal with continuous phenotypes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom