Sentence examples for bioinformatics approach based on from inspiring English sources

In conclusion, the study demonstrates a utility of the proposed bioinformatics approach based on fingerprinting of bacterial phenotypes for analysis of large-scale transcriptomics and proteomics data.

In fact, a separate high-throughput bioinformatics approach, based on a distinctive cell surface biomarker signature during early cardiac differentiation, sorted cardiogenic precursors out of a pool of unconstrained pluripotent stem cell progeny [28].

A sensitivity-enhanced bioinformatics approach based on profile-profile comparisons was initially used [ 29].

In this work, a gene encoding ABF from P. trifoliata was isolated by RT-PCR in combination with bioinformatics approach based on ESTs deposited in the public database.

Using a bioinformatics approach based on publicly available microarray results, we have recently demonstrated evidence supporting the presence of principal transcriptional programs of amino acid metabolism in response to abiotic stresses [ 19].

Using a bioinformatics approach based on both sequence and structural analysis, we have traced the evolution of this larger network in 26 organisms, from the uni-cellular ancestors of metazoans, through basal metazoans, to vertebrates.

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

We set out to systematically detect tissue-specific A-to-I RNA editing sites in 43 human tissues using bioinformatics approaches based on the Fisher's exact test and the Benjamini & Hochberg false discovery rate (FDR) multiple testing correction.

A total of 333 CNGC genes from 15 plant species were identified using bioinformatics approaches based on the presence of a CNB domain and a transmembrane pore-forming domain as well as a plant CNGC-specific motif spanning the PBC and hinge region within CNB domain of CNGC proteins.

To identify common functional HSCs from the heterogeneous mix of the five populations, we developed a bioinformatic approach, based on the reasoning that a functionally homogeneous HSC subpopulation should consist of a mixture of cells from all sorting strategies, with mixture weights corresponding to the respective published probability of durable self-renewal.

We have therefore used a large-scale bioinformatic approach based on analysing publicly available, completely sequenced bacterial genomes and plasmids available in the NCBI repository, and investigated the co-occurrence of resistance genes, allowing us to identify combinations of genes, and hence indirectly, selective agents, where risks for co-selection are apparent.