Sentence examples for by comparing sequence data from inspiring English sources

Bioinformatics analysis revealed transitions/transversions by comparing sequence data of SFPs to the melon EST database http://www.icugi.org.

We performed detailed analysis by comparing sequence data generated from WGA and their matching unamplified genomic DNA (non-WGA).

HVS-1 Variable Site Only (VSO) haplotypes were determined for all samples from South East Nigeria by comparing sequence data covering nucleotides 16020-16400 withethe Cambridge Reference Sequence [ 52, 53].

Evolutionary studies, for example, have been enhanced by comparing sequence data between nonmodel and model species whose genomes have been fully sequenced (Kim et al. 2013; Pfeifer et al. 2013; Rands et al. 2013; Song and Wang 2013).

inGAP can detect SNPs and indels by comparing sequence data generated by either Roche/454 and/or Illumina sequencing technologies, with a reference sequence, regardless read lengths and numbers.

We assessed the sequence diversity of the unique portion of each inversion haplotype by comparing sequence data from individuals carrying the inverted allele against individuals without the inversion allele.

Previous studies have revealed widespread variation in gene expression between brains, but by comparing sequencing data from specific cell types with that from whole brains, the team established that around90% of this variance is related to the relative proportion of different cell types in individuals' brains — something that seems to vary with age, and in conditions such as autism.

The accuracy of the sizing obtained by capillary electrophoresis was determined by comparing sequencing data from the reference strain with the obtained fragment size from the capillary electrophoresis and corrected if necessary.

The SUSPECT algorithm prioritizes genes by comparing sequence features, gene expression data, Interpro domains and functional terms (Adie et al., 2006).

We have implemented Veridical, a software program that automates confirmation of mRNA splicing mutations by comparing sequence read-mapped expression data from samples containing variants that are predicted to cause defective splicing with control samples lacking these mutations.

Using PCR-generated sequence tags, the eSNaPD data-analysis pipeline profiles biosynthetic diversity hidden within (meta genomes by comparing sequence tags to a reference data set of characterized gene clusters.