We generated a reduced representation library (RRL) [25] to reduce the complexity of the white-tailed deer genome and a random shotgun library (RSL) to enable massively parallel pyrosequencing via the Roche 454 platform.
To obtain homologous DNA sequences between species, we reduced the complexity of the genome using a reduced representation library (RRL) approach to library preparation (Van Tassell et al. 2008; Kerstens et al. 2009).
The learning is carried out using a reduced representation of a training image, the so-called descriptor.
Here, we used a Genotyping-by-Sequencing (GBS) approach to sample a reduced representation genomic data set and infer the phylogeny of seven closely related species in the genus Carex (Cyperaceae).
Though a reduced representation restricts the solution space, flexibility with respect to which parameter functions that can be represented is obtained by facilitating the estimation of the structure and smoothness of the representation itself.
Using only the 2 3 Kb fragments resulted in a "reduced representation" library [52].
First, RAD tags create a reduced representation of the genome, allowing oversequencing of the nucleotides next to restriction sites and detection of SNPs.
To identify lineage-specific (LS) indels, we applied a Sankoff-like palgorithmalgorithm [40] to a reduced representation of each indel region (IR) in the multiple alignments.
For convenience in analyzing sequence alignments and quality scores together, the MAF files were augmented to include basewise quality scores, in a reduced representation.
We utilized massively parallel pyrosequencing of a reduced representation library (RRL) and a random shotgun library (RSL) to generate a complete mitochondrial genome sequence and identify a large number of putative single nucleotide polymorphisms (SNPs) distributed throughout the white-tailed deer nuclear and mitochondrial genomes.
Our network model presents a reduced representation of the cortical network by taking as its nodes "cortical units" rather than the greatly more numerous constituent neurons – an approach consistent with the notion, presented in several studies, that it is appropriate to consider computational units having the scale of, for example, ocular dominance columns [47].
