Motivation: Computational
analysis of systematic experiments frequently produces one or more sets
of genes or proteins. Several methods exists for the functional
interpretation and validation of such sets. Nevertheless, little
attention has been paid to the assessment of the coherence of those
sets using functional annotations. |
||
Supplementary data filesPositive sets:
|
Objectives:
Results: To
evaluate our methodology we analyzed both positive and random sets in
the context of the Saccharomyces
cerevisiae genome (www.yeastgenome.org).
As the
catalogue of MIPS complexes
comprises both curated data as well as results from systematic analysis
[1-3], we have analysed these datasets separately.
References: [1] Gavin, A.C., et al. (2002) Functional organization of the yeast proteome by systematic analysis of protein complexes, Nature, 415, 141-147. [2] Ho, Y., et al. (2002) Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry, Nature, 415, 180-183. [3] Krogan, N.J., et al. (2004) High-definition macromolecular composition of yeast RNA-processing complexes, Mol Cell, 13, 225-239.
|