Sentence examples for bioinformatic analysis to identify from inspiring English sources
Microarray data were subjected to bioinformatic analysis to identify statistically significant changes in gene expression between samples using GeneSpring GX 11.0 software (Agilent Technologies).
The sequences of all cloned fragments were subject to bioinformatic analysis to identify those fragments that satisfied criteria for being usable MAPH probes.
From the total RNA collected using this method, we have applied RNA-Seq technology and bioinformatic analysis to identify meiosis-specific genes in Arabidopsis.
To relate the gene expression effects of genotype and LPS treatment to putative regulatory regions, we used bioinformatic analysis to identify putative cis-regulatory elements in the 5'UR, i.e. TFBSs in the promoter region, and 3'UTR regulatory elements (including miRNA targets).
In this study, we performed bioinformatics analysis to identify miRNAs that potentially target PDCD4.
We recently used an RNA-seq approach coupled with bioinformatics analysis to identify the extensive splicing network regulated by SRSF10 in chicken cells.
Solexa technology was used to perform high throughput sequencing of the library and subsequent bioinformatics analysis to identify novel miRNAs.
Using the in vitro evolved sequence pattern we performed a bioinformatics analysis to identify potential novel DYNLL-binding proteins.
We profiled normal small intestine mucosa, primary tumors and liver metastasis using advanced bioinformatics analysis to identify differentially and specifically expressed genes.
Our strategy consisted of deriving gene expression signatures that are associated with these phenotypic changes followed by computational bioinformatics analysis to identify biological active compounds capable of ameliorating these genetic changes.
In this study, we utilised bioinformatics analysis to identify the putative Brn-3b promoter and cloned this regulatory region into a reporter construct for further experimental analysis.
