Sentence examples for bioinformatics processes such as from inspiring English sources

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Pipelines for bioinformatics processes such as target identification in TB (e.g. targetTB [17]) have also been suggested.

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Genome-wide microarray and bioinformatics identified several vital cellular processes (such as differentiation, development, and apoptosis) to be regulated by EZH2, corroborated by in vitro lethality, and delayed tumor formation in vivo upon EZH2 depletion.

Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA; http://www.broad.mit.edu/gsea/) are two bioinformatics approaches to identify pathways involved in specific biological processes such as development and disease.

Bioinformatics analysis showed that the genes were enriched for basic processes such as metabolic pathways and biosynthesis of secondary metabolites.

Bioinformatics analysis of comparative proteomic data demonstrated the enrichment of biological processes such as gene expression, proteolysis, and response to drug.

Bioinformatics analysis has revealed these DE genes were involved in important biological processes such as reproduction and the DE genes were then in silico mapped to quantitative trait loci (QTL) regions related to reproduction traits.

Bioinformatic analysis revealed that they were involved in several key biological processes, such as development, response to stimulus, localization and metabolism and so on.

Bioinformatics analysis revealed that the differentially expressed genes are involved in important biological processes such as angiogenesis and embryonic development in utero.

Microarray and bioinformatics analyses have proven to be useful in identifying transcription factors that regulate cellular processes such as cell differentiation.

The availability of large amounts of gene expression data and the growing power of bioinformatics, coupled with availability of computational resources, opens new avenues to discover proteins involved in important processes, such as plant respiration.

Moreover, the sequence and bioinformatic strategies that are continuously emerging, together with the detection of DNA sequence changes, should also take account of DNA modifying processes, such as methylation.

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