Sentence examples for breadth of sequence from inspiring English sources

Depth and breadth of sequence coverage was calculated with custom scripts and the BedTools package.

Transcriptome coverage is a direct indicator of the sequencing depth and breadth of sequence data relative to the sample transcriptome.

The work establishes the breadth of sequence diversity and identifies two novel vertebrate family members (see Figure 5).

To assess the degree to which these IgG cross-inhibit EPCR binding, they were tested against a set of 25 EPCR binding CIDRα1 domains, selected to represent the breadth of sequence diversity.

Next generation sequencing, or massively parallel sequencing (MPS), of DNA and RNA molecules has altered the speed and breadth of sequencing available in the past.

The alignment pipeline used in PolyPhen-2 selects homologous sequences using a clustering algorithm and then constructs and refines the alignment yielding an alignment containing both orthologs and paralogs that may or may not be full length, which yields a wider breadth of sequences but decreased depth compared with the curated alignments used with Align-GVGD and SIFT [ 36].

The type strain of T. guamensis was purchased from ATCC (Manassas, VA), and DNA was extracted at the University of Wisconsin Genome Evolution Laboratory, after which the genome was sequenced as part of a project to increase the breadth of genome sequence data available for the Enterobacteriaceae (http://atol.genetics.wisc.edu).wisc.edu

Nonetheless, the greater challenge will be decoding the extraordinary breadth of the sequence data in the quest to determine which of the numerous mutations in the genome are causative and which are simply passenger events (Stratton, 2011).

For each additional species, the presumed ortholog was identified as a single, high-scoring BLASTP match that aligned across the breadth of the sequence.

While our study helps establish intra- and inter-individual differences in RNA editing in the human brain, the speed and breadth of genomic sequencing technologies is driving studies of RNA editing beyond simple quantitative levels, even revealing differences in subcellular editing events [ 53].

We evaluated the effect of breadth of taxon sampling, sequence type, and tree-building method on the trees constructed with each of the three data sets (fig. 2).