Predicting phenotype from patterns of annotation
Author(s) -
Oliver D. King,
Jeffrey C. Lee,
Aimée M. Dudley,
Daniel M. Janse,
George M. Church,
Frederick P. Roth
Publication year - 2003
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/btg1024
Subject(s) - phenotype , annotation , saccharomyces cerevisiae , gene , biology , computational biology , genome , genetics , strain (injury) , anatomy
Predicting the outcome of specific experiments (such as the growth of a particular mutant strain in a particular medium) has the potential to allow researchers to devote resources to experiments with higher expected numbers of 'hits'.
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