Sentence examples for transcripts average from inspiring English sources

The updated transcriptome consists of 22,022 transcripts (average length of 2075 nt), 62%% of which contain complete open reading frames.

We also compared the following properties of paired Cufflinks transcripts, paired Cufflinks RABT transcripts, and PlasmoDBv10.0 annotated transcripts: average of maximum FPKMs, average of average FPKMs, average length, average GC content, single exon rate, and maximum exon count.

As the S. mansoni SAGE tags are usually located at 242 nt upstream from the 3' end of the transcripts (average position of the CATG tags in full length transcripts), this data clearly demonstrates that more 3' sequences from normalized cDNA libraries are required for deciphering the transcriptome of this parasite.

The number of assembled transcripts, total bases of transcripts, average length of all unigenes, N50, number of long-transcripts (≥1 kb), and number of reads that could be mapped back to transcripts (RMBT) were compared to evaluate the assembly quality with different methods and select the optimum reference transcriptome for further study.

False positive and negative test results were then evaluated using the mean number of transcripts, averaged over all 100 repetitions.

(C ) When there are many transcription events per time trace and/or many traces are used to produce an average correlation function, the correlation from single transcripts dominates and that from pairs of transcripts averages out.

The fold increase of genes in normalized versus non-normalized over different categories ranges from 1.3 (ribosome, abundant transcripts) to 6 (signal transduction, low abundant transcripts), averaging at 2.9, suggesting a higher efficiency in gene discovery using the normalization library.

To construct the heat map, we calculated the total regulatory load (TRL) for all RefSeq transcripts, averaged over the two biological replicates, then followed the method used above for the RNA-Seq heat map.

In another study [ 20], Oliver et al. reported between 23,681 and 42,147 transcripts using high-throughput Roche/454 sequencing technology on four different oat genotypes, with average transcript lengths ranging between 561 and 598 nt, vs. the 53,339 transcripts averaging 1,043 nt in dnOST.

The most predictions came from Human Splice Finder (3788 SNP-transcripts, average difference 16.19%), followed by a neural network splice site prediction tool, NNSplice (3142 SNP-transcripts, average difference 31.03%) and the least from NetUTR (1468 SNP-transcripts, average difference 37.26%), based on the NetGene2 splice prediction tool and trained on a data set of UTR splice patterns.

On average, 92% of transcript length was covered by reads, with coverage depth of each transcript averaging 420 reads.