Sentence examples for using the same bioinformatics from inspiring English sources

Type II diabetes susceptibility genes were derived using the same bioinformatics methods described above.

To validate our results, we performed a similar analysis of the C. elegans genome using the same bioinformatics tool and search parameters.

To test this suggestion, using the published gene expression dataset [ 27] we identified genes that show expression bias toward midgut, malpigian tubules, accessory gland, salivary gland, head, and ovary, using the same bioinformatics approach as described above for testis.

The present study was based on one hand on the results obtained by these authors and, on the other hand, on the design of further probes using the same bioinformatics tool ORMA.

The data obtained with our two complementary omics approaches, transcriptomics and exoproteomics, were analyzed using the same bioinformatics tool (IPA), and the biological results were combined resulting in an illustrative example of toxicological integrative analysis.

Since the total number of tags produced by L-SAGE and Tag-seq experiments were dramatically different and because the sequencing error rates of Sanger and deep sequencing methods may be unequal, L-SAGE and Tag-seq tags were processed using the same bioinformatics workflow but separately.

These data were assembled using the same bioinformatic pipeline into 20,330 contigs, of which 14,271 (70.2%) were retained after filtering on size and annotation.

While these two methods of model construction used the same bioinformatics and experimental data, subtle differences in the order of process steps and algorithms, as shown in Figure  5, used to construct the two models resulted in vastly different functional consequences.

Although the TF repertoires of papaya, cassava, poplar, castor bean and grapevine are available in PlantTFDB, with the aim to make the comparative and functional genomics of the tree crop TFs convenient, we also used the same bioinformatics approach to identify the TF repertoires of these five tree crops.

Importantly, we used the same bioinformatics pipeline in the original analysis and in the validation procedure: that is, the failure to validate most cases of putative superinfection did not arise from the (lack of) sensitivity of the original phylogenetics analysis, but due to erroneous entries (sequence or sample mix-up) in the original database.

We made about four times as many CNV calls overall with the 500 K platform as with the 100 K platform when using the same method of bioinformatic analysis in 54 trios studied with both technologies (Table 1).