Sentence examples for editing candidates from inspiring English sources

Using our approach we identified and inspected the microRNA editing candidates detected in several small RNA sequencing libraries.

Thus, it has been challenging to accurately identify editing candidates from transcriptomes in the absence of gDNA information.

On a more global level, we were also able to identify microRNA editing candidates by analyzing several publicly available libraries (Table 1).

The average RNA and DNA coverage is high but regarding RNA editing candidates, are there filters to exclude low covered sites?

Current approaches of RNA editing identification largely depend on the comparison between transcriptomes and genomic DNA (gDNA) sequencing datasets from the same individuals, and it has been challenging to identify editing candidates from transcriptomes in the absence of gDNA information.

As different samples vary in genome coverage and sequencing depth, we used the HPB value (Additional file 4) to normalize the expression level for each transcribed site across samples, and selected a relatively higher cutoff at HPB > 5 for a given site, comparable to RPKM/FPKM > 5 for a gene, to call potential editing candidates in highly expressed sites.

We further evaluate the functional significance of the RNA editing candidate genes in C. elegans lifespan studies and show that silencing orthologs of these genes reduces median survival by 50%.

This compare function can detect novel RDD or RNA editing candidate sites from DNA and RNA-VCF files.

The second top editing candidate microRNAs, mir-971 has already been reported as such in an earlier publication [ 19], although we did not observe editing events in their other candidates fulfilling our criteria across several libraries.

While the validity of some of the results in [ 15] is currently under debate [ 18- 21], these studies revealed a large number of substitutional RNA editing candidate sites including many A-to-I editing events.

The "commons" option allows restricting of the listing of RNA editing candidate sites to those that are congruently predicted from a given fraction of references (display threshold, preset to 50%).