Sentence examples for many alternative transcripts from inspiring English sources

Though we restricted our analysis to well-annotated genomes from long- and deeply-studied species with wide cDNA/EST coverage [ 36], it is likely that many alternative transcripts are not represented in current annotations, introducing the possibility of sampling biases.

One reason for this tendency could be that there are many alternative transcripts for some genes which are not correctly annotated in the current Arabidopsis genome which could be alternative splice products or transcripts utilizing alternative polyadenylation sites.

In light of our goal to produce a useful and usable annotation set, we are reluctant to create gene models with many alternative transcripts that differ by only small changes in the 5′ UTRs.

Previous reports have suggested a relationship between the expanded IRs and presence of internal regulatory elements in highly expressed TUs. Güell et al. in an M. pneumoniae transcriptome analysis demonstrated many alternative transcripts.

We generated three gene sets using AUGUSTUS: a gene set with extrinsic evidence from ESTs and RNAseq data (AU9), a particularly inclusive gene set that contained many alternative transcripts for peptide identification (AU11), and a gene set with extrinsic evidence from ESTs, RNAseq data and peptide data (AU12) (Table S6 in Additional file 1).

Considering these results together with the previous work of Nekrutenko and Li [ 12], the authors concluded that while many alternative transcripts may include TE sequences, these are rarely if ever incorporated into the mRNA sequences that are destined to be translated into proteins.

There appear to be many alternative unc-62 transcripts each expressed in multiple components that are substantially, if not completely, overlapping.

Interesting aspects of new annotations include new genes (coding, non-coding, and antisense), many genes with alternative transcripts with very long 3′ UTRs (up to 15 18 kb), and a stunning mismatch in the number of male-specific genes (approximately 13% of all annotated gene models) vs. female-specific genes (less than 1%).

Physico-chemical stochastic fluctuations of the cellular environment introduces small variability in the spliceosome efficiency and perhaps results in imperfect selection of splice sites that eventually produces many lowly expressed alternative transcripts, as is observed in our data [ 6, 13, 19, 33, 43, 44].

Many genes have multiple alternative transcripts with a different TSS.

The number of potential alternative transcripts for transcription factor genes is likely to increase still further, although how many of these transcripts actually encode functional distinct transcription factor isoforms or are simply noise in the system is not yet clear.