Sentence examples for mapping to miRNAs from inspiring English sources

The number of reads mapping to miRNAs and their isomiRs were used to estimate their expression levels in the 3 pairs of libraries (SNB-19_siCtrl VS SNB-19_siTDP, SY-5Y_siCtrl VS SY-5Y_siTDP and HT22_siCtrl VS HT22_siTDP).

Reads not mapping to miRNAs were next processed as follows.

The same assessment performed on the data generated from the other five alignment outputs showed similar results (data not shown), most likely owing to the comparable percentage of reads mapping to miRNAs across the different aligners (Supplementary Figure S1).

Reads that uniquely mapped to miRNAs were considered and were profiled as: 1) identical to miRNAs, 2) perfectly match to miRNAs but are of shorter length (no more than 5 bases short), 3) mapping to miRNAs with 1 substitution, 1 or 2 extra bases at 3' and 5' ends and with those with at most 1 mismatch (occurring inside the sequence and not on ends), 4) mapping to the precursor miRNA.

Here we characterize MIRNA gene transitivity (antisense siRNAs mapping to miRNA hairpins) for Arabidopsis, C. elegans and rice and the topology (exon-intron signal-to-noise ratios) of strand-specific signals for annotated protein-coding genes.

(D ) The length distribution of reads mapping to miRNA hairpins was determined for small RNA reads from the three CRC cell lines and their purified exosomes.

Reads mapping to miRNA targets' antisense strand (107 reads in NI, 235 reads in I) were around 1% of reads mapping to predicted targets, i.e. possible transitive siRNA expression.

To classify reads that did not map to miRNAs in miRBase, we mapped the remaining reads to multiple databases in order to distinguish alternative read sources.

Approximately 0.9-1.8 0.9-1.8 reads were millionto mireadsin the miRBase (Table  1).

The RNA2MAP mapping tool generated two types of alignment: reads uniquely mapped to miRNAs and reads generating multiple hits.

The reads mapped to miRNAs, tRNAs, and other small RNAs (including lincRNAs, snoRNAs, snRNAs, rRNAs, and misc_RNAs in the ensembl database) were used for response category analysis.