Sentence examples for mapped expression values from inspiring English sources

Boxplot of the log10 of FPKM (Fragments Per Kilobase of exon per Million fragments mapped) expression values for both RFI groups.

First, read counts were TMM normalized using a Trinity-provided Perl script to produce fragments per kilobase per million mapped expression values.

While this effect was moderate using GRS species up to 100 million years divergent, comparisons using Platypus as the GRS showed both a dramatic increase in incorrectly assigned TA contigs and a lower correlation with the CCDS mapped expression values.

We calculated the FPKM (fragments per kilobase of exon per million fragments mapped) expression values of known genes, new genomic loci, and sequences outside the reference genome using Cufflinks v1.2 with default parameters [ 34, 40].

Normalized reads per kilobase exon per million mapped expression values for the selected gene were standardized into z-scores (mean=0, s.d.=1) and the nonparametric Kolmogorov Smirnov test was used to assess significance between the empirical distribution functions of the p53 mutant and wild-type sample sets.

Briefly, reads were first aligned against each transcript of C. taliensis using TopHat v2.0.10, and the FPKM (fragments per kilobase of exon per million fragments mapped) expression value was then calculated using Cufflinks v2.1.1 with default parameters.

For Trinity assemblies, with no computed CS, the RPKM (Reads Per Kilobase of transcript model and per Million fragments mapped) expression value calculated by the assembly software was used as substitute for quality parameter; ii) the longest isoform with the higher CS; and iii) a representative transcript calculated by clustering all isoforms.

The vertical axis will represent expression values (color mapped in, e.g., Figure 3) and the horizontal axes correspond to ϕ, ψ nuclear or grid-point positional coordinates.

We initially mapped hepatic expression values of Socs3 and Xbp1s using our microarray-based expression dataset.

Read counts were then normalized to RPKM (Reads Per Kilobase per Million mapped reads) expression values for each gene [ 3] and visualised with the Integrative Genome Viewer (IGV 1.5) programme [ 3].

First, Cufflinks fragments per-kilobase of exonic length per million base pairs mapped (FPKM) expression values were validated against SailFish, an alignment-free quantification method that uses K-mers and defines expression levels based on reads per-kilobase of exonic length per million base pairs mapped (RPKM) [ 39].