Sentence examples for genomic identification of from inspiring English sources

aCGH: Array-comparative genomic hybridization; BC: breast cancer; CBS: circular binary segmentation; DMFS: distant metastasis-free survival; ER: estrogen receptor; FGA: fraction of the genome altered; GEO: gene-expression omnibus; GISTIC: genomic identification of significant targets in cancer; LN: lymph node; LOH: loss of heterozygosity; OS: overall survival; PgR: progesterone receptor.

Copy number alteration (CNA), loss-of-heterozygosity (LOH), copy number neutral allelic imbalance (CNN-AI), subclonal CNA and patterns of tumor DNA ploidy were analyzed using bioinformatical methods such as genomic identification of significant targets in cancer (GISTIC) and genome alteration print (GAP).

Gorringe et al. [22] reported genes within 'peak' regions of copy number change as determined by 'Genomic Identification of Significant Targets in Cancer' [23] in a subset of 240 samples.

In addition, we used Genomic Identification of Significant Targets in Cancer (GISTIC), which is a method that aggregates data over different tumours to try to differentiate between driver and passenger aberrations, combining prevalence and amplitude [22].

Both the expansion of the genomic identification of minor H antigens and the growing interest in the application of minor H antigens as therapeutic tools require a simple and uniform allele specific PCR protocol, an up-to-date database, and tools that facilitate interpretation of the combined HLA and minor H antigen typing data.

Clinical treatment and antimicrobial therapy; TN, IM, AS and JO, Genomic identification of isolates; RS.

Recent studies on the pathogen have focused on genomic analysis, identification of antigen targets for vaccine development, and on understanding the mechanisms of infection [20], [21].

Genomic PCR identification of both strains was performed targeting TK and IL8 genes.

Despite the wealth of genomic data, identification of large amounts of Y-chromosomal sequences from high throughput sequencing data is rarely done.

These may be used for many important research applications such as the data mining of large genomic resources, identification of candidate disease associated genes and variations within them, and the annotation of genome-wide experiments such as microarray studies.

Alternatively, the SSR markers were developed for allohexaploid tall fescue, an out-crossing species with high intra-specific polymorphism, utilized for genomic mapping, identification of variety, population genetic analysis and diversity evaluation of germplasm [ 21- 25].