Sentence examples for calculating the transcript from inspiring English sources

The abundance of each transcript was then normalized by calculating the transcript abundance in Fragment Per Kilobase of exon per million fragments mapped (FPKM).

To examine the consequences of this approach on the sequencing of highly expressed transcripts, the relative expression level of unigenes was estimated by calculating the transcript abundance expressed as reads per kilobase per million mapped reads (RPKM) [ 26].

For each oligonucleotide primer pair and every plate, a standard curve was created from genomic DNA derived from the corresponding cell line, thereby calculating the transcript copy numbers relative to the genomic locus copy number.

In order to calculate the transcript level ratios, it was assumed that each PCR cycle results in exact doubling of the amounts of amplicons.

What does it mean to calculate the transcript abundance of a gene at an expression level of 50 or of 200?

All amplification reactions were performed in triplicate, and the averages of the threshold cycles were used to interpolate standard curves and to calculate the transcript amount in samples using SDS version 1.7a software.

To compare the transcriptome between O. melastigma and its freshwater counterpart O. latipes, we obtained 2 independent sets of whole-fish, deep RNA-Seq data from the NCBI Sequence Read Archive SRAA) under Accession SRP004363 and SRP032993 and calculated the transcript expression based on our Reads-combined Assembly of the O. melastigma transcriptome.

The slides were scanned by an Agilent G2566AA scanner (Agilent Technologies, Inc., Santa Clara, CA) at two PMT settings of 100 and 50, enabling correction of saturated spot intensities [ 35] and estimation of the scanner amplification factors needed in TransCount to calculate the transcript concentrations [ 10].

To account for potential bias introduced by using only uniquely mapped reads, Cuffdiff v2.2.1 (Trapnell et al. 2013) (which incorporates nonuniquely mapped reads as well) was used as an alternative approach to calculate the transcript abundances and fold changes and the results were highly similar (supplementary fig. S3 and table S10, Supplementary Material online).

We further investigated the correlation between gene expression and gene load in the T2 and T4 fermentation time points by calculating the relative transcript abundance for every strain relatively to that of strain S288C.

The plot in Figure 5D was generated using the quantitative real-time PCR data to calculate the relative transcript copy number of the dominant transcripts in each parasite clone.