Sentence examples for transform alignment from inspiring English sources

Reads were aligned to the Human Genome (Hg19/GRC37) using Burrows-Wheeler transform alignment (BWA v.0.7.5).

The Integrative Genome Viewer (IGV) tool, count, was used to transform alignment files into pileups for downstream analysis.

First, genomic stretches are determined by mapping AAAAAAAAAA to the respective genome with bowtie (25), allowing two errors ('-v 2, -r all'), transforming alignments to BED format and merging overlapping intervals with BEDtools (26).

In order to gain further insight into the source of the STS NGS discrepancies, the raw NGS reads were re-assessed both with alternative settings in the Ion Torrent variant caller (e.g. using a modified rCRS) and with completely separate alignment software based on a modified Burrow–Wheeler transform (BWT) alignment method (NextGENe).

This concept works nicely for the four-state nucleotide alphabet and provides an efficient procedure conjectured to compute the minimal number of substitutions needed to transform one alignment site into another.

The FASTQ files of all 200 bp chemistry experiments (provided via the Ion Torrent server) were turned into "converted-FASTA -files and aligned to the rconverted-FASTA -filestware (Vs. 2.3.1; SoftGeneticonverted-FASTA -files USand which employed alignedied Burrows–Wheeler toansform (BWthealignment method.

Third, we transformed genomic alignments to transcriptomic alignments and filtered alignments that did not map to the transcript set using custom code.

Using the transformed template alignment sequences, I found that the alignment quality did not vary considerably from the results obtained with the 50,000-column MSA (Table 4).

MzJava includes functionality to perform mass calculation, peak processing (e.g. centroiding, filtering, transforming), spectrum alignment and clustering, protein digestion, fragmentation of peptides and glycans as well as scoring functions for spectrum spectrum and peptide/glycan-spectrum matches.

The dynamic PET images (2 × 2 × 2 mm) were initially motion corrected by rigidly registering each frame to a reference frame (13 15 min p.i). using mutual information and subsequently rigidly transformed into alignment with the MRI and individualized atlas.

The input image is then transformed into alignment with the base image so that direct comparisons can be made.