Ontology highlight
ABSTRACT:
SUBMITTER: Lieber DS
PROVIDER: S-EPMC3012054 | biostudies-literature | 2010 Dec
REPOSITORIES: biostudies-literature
Lieber Daniel S DS Elemento Olivier O Tavazoie Saeed S
PloS one 20101229 12
The increasing ability to generate large-scale, quantitative proteomic data has brought with it the challenge of analyzing such data to discover the sequence elements that underlie systems-level protein behavior. Here we show that short, linear protein motifs can be efficiently recovered from proteome-scale datasets such as sub-cellular localization, molecular function, half-life, and protein abundance data using an information theoretic approach. Using this approach, we have identified many kno ...[more]