Sentence examples for mutation discovery method from inspiring English sources

The availability of an easy to perform mutation discovery method in P. aeruginosa will make a very important contribution and will significantly advance the field of patho-adaptive P. aeruginosa evolution during the chronic infection process.

The authors first identified mutants defective in HCN release using the Feigel Anger paper assay and then used the mutation discovery method employed in TILLING (McCallum et al. 2000a, b; Henikoff et al. 2004) to profile mutations in known biosynthetic enzymes, including CYP79A1.

TILLING (Targeting Induced Local Lesions IN Genomes) combines advantages of random chemical mutagenesis and high throughput mutation discovery methods [21] and generates allelic series of the targeted genes which makes it possible to dissect the function of the protein as well as to investigate the role of lethal genes.

The generality of the mutagenesis and the mutation discovery methods allow application of this approach to most organisms.

There are growing numbers of publications describing the use of mismatch-specific endonuclease in the mutation discovery methods known as Tilling and Ecotilling [ 30- 32].

TILLING (Targeting Induced Local Lesions in Genomes), a general reverse genetic technique that combines traditional mutagenesis with high throughput methods for mutation discovery, is such a method.

High-resolution melting (HRM) curve analysis has proven to be a highly sensitive method for mutation discovery and SNP genotyping [ 22].

One advantage of this method of mutation discovery is that the location of the mismatch-cleaved bands in the gel image can be used to predict within 10 20 bp where mutations fall within the coding regions of the PCR fragment being screened.

When used to find de novo mutations in exome sequences from family trios, or to compare normal and diseased samples from the same individual, the new method, direct alignment for mutation discovery (DIAMUND), produces a dramatically smaller list of candidate mutations than previous methods, without losing sensitivity to detect the true cause of a genetic disease.

The resolution for genomic mutation discovery was improved first with array-based methods and now with next-generation sequencing (NGS) technologies.

Here, we introduce a new method, D iamund (direct alignment for mutation discovery), which takes a different approach to exome and whole-genome analysis, and as a result produces dramatically smaller sets of candidate mutations.