Sentence examples for slim database from inspiring English sources

To gain an insight into any potential functional consequences of these difference paralog retention patterns, we performed a gene ontology (GO) SLIM enrichment analysis for the Ostariophysi and Acanthopterygii LSPs relative to the human GO SLIM database.

The number of genes in categories of the GO slim database was counted using the GO term classification counter, CateGOriser [ 81, 82] and the immune category of the bat genes was annotated using the Generic Gene Ontology Term Mapper [ 83].

Gene ontology (GO) analysis revealed significant enrichment of GO terms relative to the human GO SLIM database for "growth," "Cell differentiation," and "Embryo development" in Ostariophysi and for "Transport," "Signal Transduction," and "Vesicle mediated transport" in Acanthopterygii.

Analysis was performed using the following parameters: Fisher's test and multiple-hypothesis-testing correction through Hochberg FDR as statistical methods; significance level of an adjusted p-value < 0.05; and the Plant GO Slim database.

Table 3 shows the mean degree and the mean duplicability of yeast proteins belonging to each category obtained from the GO (gene ontology) slim database in the Saccharomyces Genome Database [ 3].

In order to evaluate the variation of CpGo/e within and among functional classes of genes, contigs from the GigasDatabase annotated with a biological process GO term (n = 10,699 contigs) were assigned a functional group based on the MGI GO Slim database http://www.informatics.jax.org[ 57].

To examine broad-level classifications of gene functions, we mapped the GO terms to the Generic GO-Slim database using the Blast2GO suite.

These are based on more general GO annotations derived from the GO-slims database at EBI, and allow us an insight into the different classes of genes present on the array without having to look at detailed functional annotation for each individual gene.

The gene ontology (GO) slim plant database from The Arabidopsis Information Resource (TAIR; ) was used for functional classification.

But with an inaccurate statement, he said, "your options for getting it out of a database are slim".

Functional data co-analysed with modifications were protein abundance [ 50], protein half-life [ 53], Gene Ontology (GO) slim (from Saccharomyces Genome Database, ftp://ftp.yeastgenome.org/yeast/) [ 80] and protein complexes [ 81].