Sentence examples for bioinformatic analysis based on from inspiring English sources
A structural and functional relationship between the bacterial T3SS and eukaryotic apoptosis was identified using our FAST-NMR ligand affinity screen in combination with a bioinformatic analysis based on our CPASS program.
Bioinformatic analysis, based on the assembly of available ESTs and Blast analysis of all Drosophila exons against the A. gambiae genome sequence, identified several putative OXR1 exons in A. gambiae.
Meanwhile, bioinformatic analysis based on the seed match rule predicts numerous potential miREs between the MCR and the native stop codon in APC mRNA.
More recently, two independent large-scale bioinformatic analysis, based on different algorithms of target prediction, claimed that the occurency of intronic miRNA-mediated self-loops (iMSLs) in the human regulatory network is significantly higher than expected by chance [ 10, 26].
Using a bioinformatic analysis (based on TargetScan Human 6.2, PicTar and miRanda), TIAM1, identified previously as a CRC metastasis-related gene, were predicted as a potential target of miR-29b.
Previous molecular analyses of induced barley mlo mutants in combination with site-directed mutagenesis and bioinformatic analysis based on multiple sequence alignments provided a first glimpse on the amino acids of the heptahelical barley Mlo protein that are decisive for its susceptibility-conferring function [ 19- 23].
Further bioinformatics analysis, based on the multidimensional representation of the nuclear features and their organization, has identified (i) statistically significant morphometric sub types; (ii) whether each subtype can be predictive or not; and (iii) that the molecular correlates of predictive subtypes are consistent with the literature.
Furthermore, our bioinformatics analysis based on a panel of microarray data [11] showed that FOXM1 mRNA expression was significantly upregulated in both premalignant dysplastic lesions (leukoplakia and erythroplakia) and HNSCC compared to normal oral mucosa (Fig. 1B).
Bioinformatics analysis based on computer calculations and the application of biological software is a very effective and essential supplement in proteomics research.
Our bioinformatics analysis, based on multiple independent large-size cohorts shows that MELK is strongly overexpessed in BBC/TNBC, not only compared to normal breast tissues, but also compared to luminal or ER/PR+ breast cancer.
