Sentence examples for bioinformatics analyses based on from inspiring English sources

Bioinformatics analyses based on EST sequences and exon-exon junction microarray studies show that 59% ∼74%of human genes are alternatively spliced [1], [2].

Further bioinformatics analyses based on different approaches could also contribute to recognize more ancestral events that had led mitochondrial fragments to insert into nuclear genome.

The main objective of this review is to present and discuss about the main solutions that were implemented to achieve improvements in the execution times in bioinformatics analyses based on distributed and parallel approaches.

Data analyses based on multiple bioinformatics tools produced a large body of biologically meaningful information, and revealed a number of genes such as SAMHD1, G6PD, GPD2 and ENO1, which have been reported to be related to immune response, blood biology, bone remodeling, and cancer respectively.

Through systematically enrichment analyses based on simulations and bioinformatics analyses, we revealed CNV-related genes undergo a different selective constraint from those CNV-unrelated regions, and CNVs may be associated with or affect pig health and production performance under recent selection.

Sampling from two different locations around the landfill area were undertaken to perform a robust toxicogenomic analyses, based on different (up and down) data sets whose shared elements were used for bioinformatics analyses.

So they run scenario analyses based on those figures.

However, since there was little evidence for functional effect for the SNPs analysed, based on bioinformatics analysis, the prior probability of 0.01 was also taken into consideration.

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.

Porcine miRNAs were identified based on bioinformatics and based on comparisons to corresponding human miRNA sequences.

Our bioinformatic assessment based on similarity searches and phylogenetic analyses indicates that a recent transfer event may be the cause of this anomaly.