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BLAT (BLAST-like alignment tool) is a pairwise sequence alignment algorithm that was developed by Jim Kent at the University of California Santa Cruz (UCSC) in the early 2000s to assist in the assembly and annotation of the human genome. [1]
While BLAST does a linear search, BLAT relies on k-mer indexing the database, and can thus often find seeds faster. [22] Another software alternative similar to BLAT is PatternHunter . Advances in sequencing technology in the late 2000s has made searching for very similar nucleotide matches an important problem.
Distributed with the latest version of BLAST, this wrapper facilitates parallelization of the algorithm on modern hybrid architectures with many nodes and many cores within each node. [2] Protein: Burdyshaw CE, Sawyer S, Horton MD, Brook RG, Rekapalli B: 2017 CS-BLAST: Sequence-context specific BLAST, more sensitive than BLAST, FASTA, and SSEARCH.
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The UCSC site hosts a set of genome analysis tools, including a full-featured GUI interface for mining the information in the browser database, a FASTA format sequence alignment tool BLAT [9] that is also useful for simply finding sequences in the massive sequence (human genome = 3.23 billion bases [Gb]) of any of the featured genomes.
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It makes use of the BLAST [5] algorithm to identify similar sequences to then transfers existing functional annotation from yet characterised sequences to the novel one. The functional information is represented via the Gene Ontology (GO), a controlled vocabulary of functional attributes.