Sentence examples for counting differences from inspiring English sources

Exact(9)

When the 2D gels were quantitated using a 2 fold threshold as the cut-off for counting differences; 241 out of 2,464 (9.8%) of spots were different between the control and lexatumumab-treated samples whereas only 2.4% of proteins were different between the control and DT-EGF-treated cells.

By counting differences in the sequence of units that make up protein and deoxyribonucleic acid (DNA) molecules, researchers have devised a tool for measuring the degree to which different species have diverged since evolving from a common ancestor.

As the algorithm used by jMOTU ignores insertions and deletions (indels) in counting differences between sequences, jMOTU is relatively robust to homopolymer tract errors (which will appear as indels in a pairwise alignment).

Digital methods for counting differences in gene expression levels provide specific advantages.

Distances between proteins are ultimately estimated by counting differences between aligned sequences.

Within an assembled contig, the polymorphic SSRs were identified by counting differences in the numbers of repeat motifs during informatic comparison of ssp.

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Similar(51)

Correspondences between k values and % similarity were approximate as we do not count differences in homopolymers, but the results were very similar to assignments as described above.

To estimate the error rates per exon, we identified 2,668 nonoverlapping coding (CDS) exons within the ENCODE regions from the UCSC Genes set, and counted differences between the aligned 2× and ENCODE sequences within these exons.

The difference between mean ΔCT values for RAO-susceptible horses in remission and controls on pasture for each cytokine was used to count differences in cytokine mRNA expression and statistically tested using the Mann Whitney test.

An alternative error rate counted differences between heterozygous and homozygous genotypes as only half errors and differences between opposite homozygotes as full errors across the imputed and assigned loci but not including the observed loci [ 11].

The dilution may be one of the reasons of read counts difference cross datasets.

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