Sentence examples for custom normalized from inspiring English sources

A custom normalized EvoQuest™ cDNA library was created by Invitrogen in the pSPORT 6.1 vector, using 1 mg of total RNA as starting material, without any amplification.

It is not clear why the authors chose to use a custom normalized score rather than the e-value that BLASTN already produces.

First, we generated a custom, normalized, full-length, mixed-stages cDNA library (with mGppp affinity purification to avoid bacterial RNA contamination; Invitrogen), cloned into the pCMV-Sport6 vector.

We generated a custom, normalized, full-length cDNA library (with mGppp affinity purification to limit bacterial RNA contamination; Invitrogen), cloned into the pENTR222.1 vector from two adult worms.

Our objective here was to further transform the custom-normalized data through the matrix-based modeling framework, which offers a quantitative and flexible means to deal with the properties of the different assays, while avoiding over-fitting that would bias the downstream analysis objectives.

For each gene, the level of expression was determined by calculating the exon coverage (custom pipeline) and normalizing in Reads per Kilobase per Million (RPKM).

CBV data for each patient was normalized by custom c-code and bash scripts, courtesy of the National Institutes of Mental Health Magnetoencephallography Core Facility (3dNormalize; NIMH MEG Core, Bethesda, MD; kurage.nimh.nih.gov/meglab/Med/3dNormalize).nih.gov/meglab/Med/3dNormalize

All arrays were normalized with gcrma normalization and custom probe definitions based on EntrezGene identifiers using the R statistical software package available on Bioconductor [ 17- 20].

The quantitative gene expression value, RPKM (reads/Kb/Million), was calculated using custom Perl scripts by normalizing the sequence coverage over the gene length and total unambiguously mapped reads in each library [ 7, 37].

All samples are reannotated and normalized with a custom algorithm.

All data is re-annotated and normalized with a custom algorithm so that all data in the database are directly comparable, with extensive biological and clinical annotation.