Basic Local Alignment Search Tool

In bioinformatics, BLAST (basic local alignment search tool) is an algorithm for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences. A BLAST search enables a researcher to compare a query sequence with a library or database of sequences, and identify library sequences that resemble the query sequence above a certain threshold. In bioinformatics, BLAST (basic local alignment search tool) is an algorithm for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences. A BLAST search enables a researcher to compare a query sequence with a library or database of sequences, and identify library sequences that resemble the query sequence above a certain threshold. Different types of BLASTs are available according to the query sequences. For example, following the discovery of a previously unknown gene in the mouse, a scientist will typically perform a BLAST search of the human genome to see if humans carry a similar gene; BLAST will identify sequences in the human genome that resemble the mouse gene based on similarity of sequence. BLAST, which The New York Times called the Google of biological research, is one of the most widely used bioinformatics programs for sequence searching. It addresses a fundamental problem in bioinformatics research. The heuristic algorithm it uses is much faster than other approaches, such as calculating an optimal alignment. This emphasis on speed is vital to making the algorithm practical on the huge genome databases currently available, although subsequent algorithms can be even faster. Before BLAST, FASTA was developed by David J. Lipman and William R. Pearson in 1985. Before fast algorithms such as BLAST and FASTA were developed, searching databases for protein or nucleic sequences was very time consuming because a full alignment procedure (e.g., the Smith–Waterman algorithm) was used. BLAST came from the 1990 stochastic model of Samuel Karlin and Stephen Altschul They 'proposed a method for estimating similarities between the known DNA sequence of one organism with that of another,' and their work has been described as 'the statistical foundation for BLAST.' Subsequently, Altschul, along with Warren Gish, Webb Miller, Eugene Myers, and David J. Lipman at the National Institutes of Health designed the BLAST algorithm, which was published in the Journal of Molecular Biology in 1990 and cited over 75,000 times.