Sentence examples for multiple bioinformatics approaches from inspiring English sources

In this study, multiple bioinformatics approaches were employed to identify all the members of BURP family genes in soybean.

In this study, we combined multiple bioinformatics approaches to identify a total of 745 predicted secreted proteins, among which 486 with experimental evidence for expression in planta (SPEPs).

Seven putative voltage-gated Na+ or Ca2+ channels, two aquaporin-like proteins, and twelve putative VATPase subunits were discovered in all clones using multiple bioinformatics approaches.

To examine miR-25 targets through multiple bioinformatics approaches, we first used the TargetScan program [ 68] to predict the conserved mRNA targets of miR-25 (~600 targets) and then used the gene classification programs PANTHER [ 69, 70] or GSEA [ 71] to associate biological processes and gene sets with these targets.

Multiple bioinformatic approaches had been employed and the known repetitive DNA similar to vertebrates was estimated to be approximate 17.3% of common carp genome, which is lower than another tetraploid teleost fish Atlantic salmon 30-355%) [ 27], but higher than catfish [ 14].

Overall, our use of multiple, complementary bioinformatic approaches allowed us to glean a large amount of information from one 454 run.

Employing bioinformatics approaches, multiple full-length CaM genes were identified from tomato, N. benthamiana and potato (S. tuberosum) genomes, with tomato having 6 CaM genes, N. benthamiana having 7 CaM genes, and potato having 4 CaM genes.

A significant effort was made to utilize multiple assembly programs and bioinformatics approaches for cross validation of findings and to achieve reliable assemblies of Tr. anilis and T e. subulata venom duct transcriptomes to obtain a reliable portrait of Terebridae venom.

We first use state-of-the-art bioinformatics approaches based on multiple sequence alignment across the whole family of GPCRs.

During the last decade, the availability of bioinformatics approaches for comparison of multiple bacterial genomes allowed the analysis of a huge amount of sequence data.

From the point of view of identifying potential targets for these proteins by bioinformatics approaches, it seems that multiple copies of the canonical nonamer are optimal but that some base and length differences might be tolerable.