Sentence examples for sequencing of genomes from inspiring English sources
The sequencing of genomes of long-lived species allows comparative genomics to be employed to study the evolution of longevity and has already provided candidate genes for further functional studies (de Magalhães and Keane, 2013).
They are used in the construction of maps of regions of genomes see [ 1- 5] for examples for the bovine genome, in the construction of maps of complete genomes [ 6- 11], to provide a framework for the sequencing of genomes [ 12, 13], and in comparative genomic hybridisation to study genome rearrangements [ 14, 15].
Next-generation sequencing technology provides the capacity for parallel sequencing of genomes and the development of a sequencing-based high-throughput genotyping method that combines the advantages of ultrahigh-dense marker coverage and eliminates the likelihood of overlooking double-crossovers.
Large-scale sequencing of genomes has enabled the inference of phylogenies based on the evolution of genomic architecture, under such events as rearrangements, duplications, and losses.
While the sequencing of genomes for research has become almost routine - so far the genomes of dozens of species have been sequenced - Watson's was notable for how quickly and cheaply it was done.
The sequencing of genomes alone is not a panacea.
After linear sequences of genomes and epigenomic landscape data, the 3D organization of chromatin in the nucleus is the next level to be explored.
The comparable read lengths and increased sequence capacity compared to traditional Sanger sequencing made the massively parallel pyrosequencing ideal for de novo sequencing, re-sequencing of genomes and metagenomic studies [ 12].
Hybrid capture methods will allow for highly efficient and massively parallel re-sequencing of genomes of interest for non-model organisms, while minimizing cost and effort of sequencing host DNA.
The ITS sequences of genomes B shared four unique substitutions (Additional file 3: Figure S3).
Sequence alignment is a way to identify regions of similarity between two sequences of genome data.
