Sentence examples for several biological databases from inspiring English sources

We collected 2682 gene sets from several biological databases and resources (Figure 1, Step 2), including some additional databases that were not included in the collection of gene sets used by Segal et al. [10], see Figure 3.

For this we created datasets specifically for our data mining purposes, integrating data from several biological databases and websites.

Associations between these terms and gene products are made by several biological databases producing detailed functional descriptions of gene products.

Given its importance, it has been the subject of active research as well as the focus of curation in several biological databases.

Contigs with less than 600 nt in length had in average 600 total reads mapped in each contig.> S. pomifera contigs were employed in BLAST searches against several biological databases for their annotation.

The triage task is the first step of the curation process for several biological databases: it aims at selecting and prioritizing the articles to be curated in the rest of the process.

A recently developed tool called Biofilter is capable of integrating information from several publicly available biological databases in order to assess specific combinations of genetic variations and their effect on the outcome based on prior statistical and biological knowledge [ 54].

For genes with a human ortholog, further interpretation was based on the use of Ingenuity and Gene Ontology annotation databases highlighting several biological processes likely to be involved in muscle glycogen regulation.

Being open source enabled collaboration among Chado database developers from several biological systems to add the new ND module to accommodate large-scale phenotypic and genotypic data (11).

We ran Catmap analysis on the ranked gene list based on the Bayes t statistic of all genes for over-representation of functional categories from a number of biological databases, including GO and Interpro, and several customized databases that contain microarray data and functional classifications from previously published studies.

The benchmark set was applied to five commonly used databases and revealed the impact of several biological and technical factors that challenge orthology prediction.