Sentence examples for maps in silico from inspiring English sources

Our study shows that herbarium data could be used as a way of ground-truthing biome maps in silico.

Georeferenced herbarium records of species endemic to the biome are used to ground-truth the biome maps in silico.

This gene product maps in silico to chromosome 2L, exhibits a similar transcript profile, and also shares 98% amino acid identity with Peritrophin 1.

Because they rely on sequence information, the SNP- and GBS-based approaches provide thousands of sequence tags that can be integrated into physical maps in silico thereby increasing the efficiency of anchoring strategies.

The map aligner expects global similarity between the two maps and works well if the two maps to be compared are very similar – alignments can be made between optical maps against other optical maps, in silico maps derived from sequence, and consensus maps derived from contigs constructed by the map assembler from optical maps.

For all markers on three individual maps, in silico PCR was implemented using the Gy14 and 9930 draft genome scaffolds as templates to assign markers to scaffolds, reveal polymorphisms between the two parental genomes, as well as estimate copy numbers of expected PCR products.

Of those EST-SSRs, 42% of the wheat and 56% of the barley were mapped in-silico to the rice genome.

The general strategy for this approach was to modify the reference map in-silico to reflect our hypothesized structure, and then use the iterative assembly framework described earlier to pull out individual restriction maps and generate an optical consensus map (methods).

OJ designed the primers, screened the ovine and porcine RH panels, calculated the pig RH maps, built in-silico maps, performed the comparative QTL overlap study and prepared the draft manuscript.

The alignment of the consensus maps to in silico maps of the sequence assemblies facilitated iterative scaffolding, leading to a modest reduction in scaffold numbers but substantially improved N50 scaffold size [ 21].

Signal to noise analysis after clustering showed that only 3.5% of the experimental restriction fragments were misidentified, confirming the importance of comparing experimental maps with in silico maps that are as closely related as possible.