Sentence examples for variation data and from inspiring English sources

Genomic Sequence Variation Markup Language (GSVML) will focus on genomic sequence variation data and human health applications, such as gene based medicine or pharmacogenomics.

Analytical quality specifications were derived from biological variation data, and imprecision goals can be reasonably achieved with current methods.

The United Kingdom has developed a central database to collect all UK genome variation data, and their effects, from participating diagnostic laboratories.

This is in contrast to copy number variation data and mutation data, i.e. single-base substitutions, short indels, or multiple base substitutions, that might be modeled better with multinomial or categorical distributions.

Ensembl aims to provide high-quality genomic resources including gene annotations, multiple sequence alignments, whole-genome variation data and other information valuable for reuse by the community in a wide variety of research contexts (1).

The long-term combination of (1) improved classification and annotation of variation data and (2) simple increase in available studies should allow us to find these cases and truly study the quantitative differences of heterozygous and homozygous states, ultimately helping to develop and refine possible detection assays.

Criteria for MSA [ 23] and variation data (Nair and Vihinen, submitted) benchmarks have been defined.

The Ensembl and Ensembl Genomes BioMarts provide a point of access to the high-quality gene annotation, variation data, functional and regulatory annotation and evolutionary relationships from genomes spanning the taxonomic space.

In addition to the web interface, variation data sets and annotations have also been made available for download to aid computational biologists with a ready set of formatted data sets for analyses.

GSOA can be applied to any type of omic data for which gene set annotations exist; this includes (but is not limited to) gene-expression microarray data, RNA-Sequencing data, single-nucleotide variant data (SNV), DNA copy-number variation data (CNV), and epigenetic data.

The binary mutation calls were derived from exome-sequencing data (all non-silent mutations) and copy number variation data (focal amplifications and deletions).