Sentence examples for the complexity of the transcriptome from inspiring English sources

The complexity of the transcriptome has been underestimated.

Thus, our current understanding of the repertoire of transcripts produced from the human genome is still evolving, further demonstrating the complexity of the transcriptome.

A previous study [19] validated the utilization of "massively parallel signature sequencing" (MPSS) [20] to analyze transcriptional regulation in a closely related dinoflagellate (Alexandrium fundyense) and provided evidence for the complexity of the transcriptome, the presence of gene families, and the extent of transcriptional regulation.

In addition to the complexity of the transcriptome profiles, the sequencing of transcripts encoding PLA2 genes in Vaa and Vaz snake venom glands has shown that three isoforms of AmI1 and two of AmI2 are expressed in the venom of these snakes: the molecular weight of AmI1 isoforms ranges between 13676 and 13694 Da and that of AmI2 isoforms between 13526 and 13553 Da [30].

Second, we reduced the complexity of the transcriptome by cDNA normalization prior to sequencing.

However, this method cannot fully unravel the complexity of the transcriptome.

However, ironically, our understanding about the complexity of the transcriptomes in this model bacterium is rather limited compared to its counterpart model Gram-positive bacterium B. subtilis[ 25].

Thus we still lack a good understanding of the level of the complexity of the transcriptomes in E. coli K12, from which we gained most of our knowledge about transcription in bacteria, but the more recent revolutionary view of the high complexity and dynamics of prokaryotic transcriptomes.

To gain a better understanding of the complexity of the transcriptomes in E. coli K12, we have profiled the transcriptomes of the bacterium under different culture conditions and growth phases using a highly specific directional RNA-seq technique that can capture various types of transcripts in the cells, including mRNAs, asRNAs, and ncRNAs.

Therefore, there is an urgent need for a better understanding of the complexity of the transcriptomes in this most widely-used model Gram-negative bacterium, in particular, when the same highly complex and dynamic transcriptomes have recently been revealed in its counterpart model Gram-positive bacterium B. Subtilis[ 25].

However, reliable variant identification from RNA-seq data remains challenging because of the complexities of the transcriptome, the challenges of accurately mapping exon boundary spanning reads and the bias introduced during the sequencing library preparation.