Sentence examples for robust transcript from inspiring English sources

Prostate cancer is, however, a heterogeneous multifocal cancer and this poses challenges in identifying robust transcript biomarkers.

The AmpliSeq-RNA technology adapted to high-throughput semiconductor sequencing allows robust transcript quantification based on amplicon frequency.

Multiplatform studies have highlighted certain advantages of Illumina-based sequencing over other technologies, which include lower costs ($0.06/Mb), high accuracy (<2 % error rate) and good read depth, permitting robust transcript quantification [ 32, 40, 46].

In conclusion, robust transcript biomarkers are present within datasets assembled over many years and cohorts and our study provides both examples and a strategy for refining and comparing datasets to obtain additional markers as more data are generated.

For transcriptome data, the quality of the underlying reads are critical to successful transcript assembly and imposition of high-quality thresholds on the sequence reads would permit more robust transcript assemblies.

We demonstrated with RT-PCR that Merkel cells express robust transcripts encoding six TRP channels, and transcripts were occasionally amplified for an additional five channels.

From these results, the identifier of each transcript from each cluster were used to build a contingency table to establish a list of robust transcripts classified the same way by the two different algorithms (Table 1).

The results were very similar to those obtained with the complete data set, indicating that the analysis is robust to transcript expression differences.

For normalization of the qRT-PCR data the ribosomal gene rpl6e was used, as it shows robust constitutive transcript levels on cellulose in light and darkness [ 10, 24].

The list of robust cycling transcripts includes up to 13 maize light-harvesting CAB transcripts (chlorophyll a-b binding protein), which is a subset of the greater maize CAB gene family.

Furthermore, the number of independent microarrays available for each species was insufficient to build robust metabolite-transcript correlations.