The phrase "alignment of probe" is correct and usable in written English.
It can be used in contexts related to scientific, technical, or engineering discussions, particularly when referring to the positioning or adjustment of a probe in experiments or measurements.
Example: "The alignment of the probe is crucial for obtaining accurate readings in the experiment."
Alternatives: "probe positioning" or "probe calibration".
In the present study alignment of probe sequences of the Affymetrix microarray HG-U133A with Ensembl transcript sequences was performed to define transcript-specific probe sets.
One of the powers of this approach is that the entire pipeline of methods used to assemble the correlation matrix is completely metadata independent – only the genomic alignment of probe sequences and the quantitative measurements made by the microarray were used.
Chromosome 3 alignment of probe sets (represented genes) was determined based on the UCSC Human Genome Browser database, where 535 probe sets mapped to genes on the chromosome 3p arm and 612 probe sets mapped to genes on the chromosome 3q arm.
Although this may seem inconsistent, further examination of the alignment of probes to gene revealed that different probesets for Tsn aligned to different populations of alternatively polyadenylated transcripts.
PanCGHweb performs the following steps: (i) orthology grouping; (ii) alignment of probes to genes; and (iii) genotype calling.
Additionally, the following tab-delimited files can be downloaded: OGs list, alignment of probes to genes, presence/absence of OGs and presence score of OGs.
Currently available conversion methods rely on manufacturer annotations, which are often incomplete, or on direct alignment of probes from different platforms, which often fail to yield acceptable genewise correlation.
Dai et al. [5] introduced re-defined probe sets after re-alignments of probe sequences to genes as well as transcripts.
The algorithm consists of four steps: 1. Exact alignments of probe sequences to the genome are found using a hash table.
Using BLAST alignments of probe and cDNA sequences, the members of each isoform 'family' that could be targeted by either qRT-PCR or microarray were identified (typically multiple isoforms for each gene).
The covariates in the logistic regression model are derived from BLAST alignments of probe sequences to targets in a database of microbial genomes: the BLAST score, the alignment start position within the probe sequence and a melting temperature computed for the aligned DNA duplex.
