Sentence examples for alignment algorithm and from inspiring English sources

The phrase "alignment algorithm and" is correct and usable in written English.
It can be used in contexts related to computer science, data analysis, or any field where algorithms are discussed, particularly in relation to aligning data or processes.
Example: "The research paper focuses on the alignment algorithm and its applications in machine learning."
Alternatives: "alignment method and" or "alignment technique and".

Exact(33)

For the Sanger dataset, sequences were aligned in Geneious® using the Geneious alignment algorithm and were checked by eye to assure no gaps in protein-coding genes.

Sequences were aligned in ClustalW [ 70] using the pairwise alignment algorithm and alignments were manually controlled and improved locally.

Cloned sequences for each 14-3-3 14-3-3 14-3-3alisoformgainst established gene sequences using a Clustalwereignment alignedhm againstestablishedare (Ibis Biosciences, Carlsbad, CA).

It should be noted that the alignments obtained in our study by direct comparison of the mouse M180 and L. catta sequences differ from previous reports in which using a different alignment algorithm and software, the amelogenin sequences of 25 mammals were aligned [18], [22] (See Supporting Information).

Indel Realign was executed using the full Smith Waterman alignment algorithm and base quality scores of reads were recalibrated in the aligned.BAM files.

Alignments were performed using the Clustal Omega multiple sequence alignment algorithm and visualised with BioEdit61,62.

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Similar(27)

To identify alternative spliced transcripts for each gene, spidey, a cDNA-to-genomic alignment program, was used to align spliced sequences to genomic sequences, using local alignment algorithms and heuristics to put together a global spliced alignment [ 38].

Grant, G. R. et al. Comparative analysis of RNA-Seq alignment algorithms and the RNA-Seq unified mapper (RUM).

Grant, G.R. et al. Comparative analysis of RNA-Seq alignment algorithms and the RNA-Seq unified mapper (RUM).

Sequence alignments, hidden Markov models, multiple alignment algorithms and heuristics such as Gibbs sampling, and the probabilistic interpretation of alignments will be covered.

Repeat regions are problematic for alignment algorithms and users tend to mask sequences before performing the alignments.

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