Sentence examples for multiple genomes at from inspiring English sources

Exact(2)

While the development of custom targeted genome enrichment prior to sequencing is enabling analysis of large genomic regions of multiple genomes at reduced costs [ 20- 22], the preparation of individual genomes for enrichment and sequencing is labour intensive and still beyond the capabilities of many research groups.

In the case of metagenomes, the presence of multiple genomes at different coverage depths causes additional problem and the contigs are expected to have more mis-assemblies compared to the contigs from isolate genome assemblies.

Similar(58)

CLUSTALX was used to compare amino acid sequences and Multidotter, Mauve [ 81] and ACT [ 82] was used to compare multiple genome sequences at one time.

Otherwise, whatever process produced the five β-amylase elements from a single ancestor would have to have been operating in parallel at multiple loci in multiple genomes.

While InParanoid is able to handle only two genomes at a time, OrthoMCL is designed to work with multiple genomes.

The variation and read depths of multiple genomes, as well as annotations, can be shown simultaneously at various scales.

JCVI developed tools, leveraged by the pipeline, that facilitate the annotation of genomes at multiple levels: the individual protein {Manatee (14), pathways [Pathway Tools (15), KEGG (16)]}, whole genome and in comparison with multiple genomes (MGAT).

The n-grams from each genome were compared against the n-grams in the other genomes to finally arrive at a set of unique (present in a single genome) and common (present in multiple genomes) n-grams.

Note that, in multiple genome assembly, nodes at a crossing point between two incoming and two outgoing edges are not necessarily repeats.

Furthermore, reads mapped to multiple genome positions are at first uniformly assigned to each position and then expression levels are re-estimated by probabilistically dividing reads on the basis of the first abundance estimation, the inferred fragment length and the fragment bias (multi reads correction).

To this end, cancer biomarker discovery projects have utilized a spectrum of techniques to generate DNA methylation data which in turn has driven advances in DNA methylation analysis technology, and data from multiple genome-scale methylome projects at single-base-pair resolution is now available [ 10].

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