Sentence examples for mutation identification and from inspiring English sources

After a thorough study on the experimental conditions for FMCA, we demonstrated that these two types of probes enable FMCA to be used for mutation scanning, mutation identification and mutation genotyping and confer cross-platform compatibility on major real-time PCR instruments.

Improved flexibility of FMCA by using these probes was illustrated in three representative applications of FMCA: mutation scanning, mutation identification and mutation genotyping, all of which achieved improved color-multiplexing with easy probe design and versatile probe combination and all were validated with a large number of real clinical samples.

DNAJC5 mutation identification and screening was published by Benitez et al. [ 6].

These multi-gene families can be used for sequencing error detection, mutation identification, and pangenomic profile computation [19].

Leigh Waddell was involved in mutation identification and confirmed the mutation by Sanger Sequencing and edited the manuscript.

Additionally, although WGS is becoming more cost-effective, intensive and specialized bioinformatic analysis is required for mutation identification and validation.

Thus, the use of Taqman PCR allows mutations identification and is reliable and sensitive [ 4, 37, 38].

The increasingly systematic nature of random mutagenesis and mutation identification, targeted mutagenesis/cloning and identification of epigenetic modifications along with increasing computational power and variety of bioinformatic approaches are facilitating these efforts.

All mutations reported here, including in N2, conformed to the ≥6X coverage cutoff as well as the other analysis parameters required for mutation identification (see Materials and Methods).

Using the B16F10 melanoma preclinical model, we conducted proof-of-concept experiments to demonstrate a process for somatic mutation identification, mutation selection, and on-demand individualised vaccine production (Castle et al, 2012).

Current dideoxy (Sanger) sequencing based methods for mutation identification are expensive and labor intensive even with a high degree of automation.