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Pathway analysis of the data set identified novel candidate genes involved in manipulation of cellular functions associated with the infected transformed cell.
Applying RSAT from the Transcriptional Regulation module on this data set identified several overrepresented motifs in the upstream regions of the genes.
Consistent with the polymorphism analysis above, the random data set identifies more genes in D. pseudoobscura (no additional genes in D. miranda are significant, whereas 13 genes are significant in D. pseudoobscura).
The functional analysis of a network identified the biological functions and/or diseases that were most significant to the genes in the network, and the functional analysis of the entire data set identified the biological functions and/or diseases that were most significant to the data set.
The orthology search for the metazoan data set identified 38,568 orthologous gene clusters, out of which 3,121 passed the selection criteria (see Materials and Methods section).
The TMACC interpretation of the DHFR data set identified many key structural features for DHFR inhibition.
Exploratory cluster analysis of a sample of 4445 out-of-treatment drug users from the national data set identified eight main risk subgroups that could explain over 99% of the variance in the 20 baseline indices of HIV risk.
Analysis of the whole data set identified eight compound series and seven singletons of interest (data not shown).
Analysis of the full data set identified clusters of strains that showed similar hydrolytic profiles and substrates clusters.
Further analysis of the test data set identified a different relationship between index and PML for patients based on prior immunosuppressant use (Fig 3A).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com