Sentence examples for alterations were identified by from inspiring English sources

Tumour-specific genomic alterations were identified by normalising the primary gastric cancer profiles against the primary matched gastric normal samples.

Sequence alterations were identified by direct cycle sequencing using BigDye fluorescent terminators and the ABI sequencer (Applied Biosystems).

Eighty-seven unique somatic alterations were identified by sequence analysis in 16 of 21 genes analyzed (TP53, GATA3, CAV1, CDH1, ESR1, FBXW7, FOXA1, FOXC1, FZD7, MYBL2, PIN1, RB1CC1, RERG, STK6, TP53I3, and XBP1).

Regions commonly showing copy number alterations were identified by comparing the signal intensities from the Mapping 50K array in the tumour group (n=43) with the intensities of the 44 germline samples.

Copy number alterations were identified by the Circular Binary Segmentation (CBS) algorithm implemented in DNAcopy (Bioconductor for R) with an alpha of 0.01 to identify change points while cancelling splits having less than 1.0 standard deviation units in difference through the sd.undo procedure [ 24, 26].

In addition, a group of metabolic proteins with significant alteration were identified by proteomics, which may suggest the switch of cellular metabolism from tricarboxylic acid cycle to glycolysis.

Histopathological alterations were identified as focal nephropathy, glomerulonephropathy, or tubulointerstitial lesions by Byung-il Yoon (College of Veterinary Medicine, Kangwon National University, Chuncheon, Korea).

Eighty-seven unique somatic alterations were identified in 16 genes.

Copy number alterations were identified using Illumina Genome Studio.

No non-synonymous sequence alterations were identified in these genes.

Eight distinct sequence alterations were identified (Table 2).