Sentence examples for mutations are represented from inspiring English sources

Until now, more than 40 different subsets of mutations have been identified and about 90% of NPM1 mutations are represented by subtype A and B (78% versus 12%, respectively).

Moreover, interactions between specific single drugs and single mutations or pairs of drugs and single mutations are represented by additional covariates.

Overall, these results indicate that nearly all mutations are represented in the plasmid mutant libraries.

These results indicate that the vast majority of codon mutations are represented in the plasmid mutant libraries.

For each patient, somatic mutations are represented as a profile of genes, in which non-zero entry indicates the number of mutations occurring in a gene.

The Ion AmpliSeq Cancer Hotspot Panel v2 contains a single pool of primers used to perform multiplexed PCR for preparation of amplicon libraries covering 207 ROIs in 50 cancer-related genes (Supplementary Tables 1 and 2, Figure 1A and B), in which 2175 mutations are represented at least twice in COSMIC.

All functions usually considered to be affected by FGFR3 mutations were represented: cell cycle (65 genes), cellular growth and proliferation (111 genes), cell death (75 genes) and cell signaling (35 genes).

The ability for inhibitor-specific interactions of HIV mutants was described by inhibitor-RT cross-terms (I×R block) and eventual cooperative effects of sequence mutations were represented by cross-terms between RT descriptors (R×R block).

Moreover, in the previous modeling studies mutations were represented from the amino acid letter codes as binary indicator variables, rather than being based on quantitative descriptions of molecular properties of the mutated sequence residues that are relevant for drug-protein interactions (e.g. amino acid size and shape, hydrophobicity, charge, etc).

All BRAF mutations were represented by the most common substitution of valine by glutamic acid at position 600 (V600E; Figure 1).

The number of independent TP53 gene mutations that cause coding alterations (Fig 7A) and the cumulative frequencies at which these mutations were represented in the DNA population (Fig 7B) were similar in all groups of tumours, regardless of subtype or p53 IHC score.