Sentence examples for generate alignment from inspiring English sources

The end product of sequencing is short nucleotide fragments called "reads" that are routinely aligned to the genome to generate alignment maps.

AutoSNP uses the TGICL clustering tool [ 42] and CAP3 [ 43] with 98% identity criterion to generate alignment data.

The maximum coverages are driven by our use of coverage cutoffs in samtools [ 31] to generate alignment files.

The alignment was analyzed with Genedoc, and the online resource Espript (Robert and Gouet 2014) was used to generate alignment figures.

To enhance computational efficiency an approximate alignment method has been proposed to generate alignment candidates based on a fast translation-invariant rotational search [ 14, 15].

Alternative isoforms would be expected to generate alignment gaps if a contig contains an extra (or different) exon which is not present in the read.

To generate alignments, sequences were aligned using the CLUSTALW algorithm (Thompson et al., 1994), and the alignments were formatted using the program BOXSHADE (written by K. Hoffman and M. Baron).

We therefore focused on progressive MSA algorithms, as these algorithms generate alignments rapidly.

The ultra-fast sequence alignment program "Bowtie-0.9.9" [19] was used to generate alignments of RNA sequence reads to the genome and gene models.

These files can be used to generate alignments and standard analyses of selection or phylogenetic analyses.

Scripts used to generate alignments and plots are available in Github [ 9].