Sentence examples for bioinformatic approach to identify from inspiring English sources

We also used a bioinformatic approach to identify potential GRPs.

We therefore took a bioinformatic approach to identify DCX mRNA potential sites as target of miR-34a.

In this study, we employed a bioinformatic approach to identify additional transcription factors which regulate SIRT3 expression.

In this study, we applied a comprehensive bioinformatic approach to identify all ABC transporter pseudogenes in the human genome and systematically searched for evidence of transcribed pseudogenes.

In this work, we employed a bioinformatic approach to identify ta-siRNAs and cis-nat-siRNAs in cassava from two sRNA libraries, one constructed from healthy cassava plants and one from plants inoculated with the bacterium Xanthomonas axonopodis pv.

Here we have used a genome-wide bioinformatic approach to identify Putative G-Quadruplex Sequences (PQS) in the Plasmodium falciparum genome, along with biophysical techniques to examine the physiological stability of P. falciparum PQS in vitro.

One bioinformatic approach to identifying candidate functional elements is to search for sequence blocks that are conserved among orthologous genes and relatively common among paralogous genes of a given family or ontological group.

A bioinformatic approach to identifying cis-regulatory elements controlling transcription has become feasible with the availability of complete genome sequences and large scale expression data using high-throughput methods such as microarrays [ 1, 2] and SAGE [ 3].

The combined use of cell- and organ-specific transcriptome databases of several MIA-accumulating plants is facilitating combined bioinformatic approaches to identify MIA candidate genes.

It is therefore essential to use bioinformatic approaches to identify the likely functional candidates in a high throughput manner.

Common bioinformatic approaches to identify potential regulatory elements include examining sequences that show significant interspecies conservation, or sequences containing consensus binding site motifs for transcription factors.