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HandWiki. BLAST. Encyclopedia. Available online: https://encyclopedia.pub/entry/29613 (accessed on 22 September 2026).
HandWiki. BLAST. Encyclopedia. Available at: https://encyclopedia.pub/entry/29613. Accessed September 22, 2026.
HandWiki. "BLAST" Encyclopedia, https://encyclopedia.pub/entry/29613 (accessed September 22, 2026).
HandWiki. (2022, October 17). BLAST. In Encyclopedia. https://encyclopedia.pub/entry/29613
HandWiki. "BLAST." Encyclopedia. Web. 17 October, 2022.
BLAST
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The content is sourced from: https://handwiki.org/wiki/Software:BLAST

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. The BLAST algorithm and program were designed by Stephen Altschul, Warren Gish, Webb Miller, Eugene Myers, and David J. Lipman at the National Institutes of Health and was published in the Journal of Molecular Biology in 1990 and cited over 50,000 times.

biological sequence local alignment bioinformatics

References

  1. Casey, R. M. (2005). "BLAST Sequences Aid in Genomics and Proteomics". Business Intelligence Network. http://www.b-eye-network.com/view/1730. 
  2. Lipman, DJ; Pearson, WR (1985). "Rapid and sensitive protein similarity searches". Science 227 (4693): 1435–41. doi:10.1126/science.2983426. PMID 2983426.  https://dx.doi.org/10.1126%2Fscience.2983426
  3. Oehmen, C.; Nieplocha, J. (2006). "ScalaBLAST: A Scalable Implementation of BLAST for High-Performance Data-Intensive Bioinformatics Analysis" (Submitted manuscript). IEEE Transactions on Parallel and Distributed Systems 17 (8): 740. doi:10.1109/TPDS.2006.112. https://zenodo.org/record/1232261. 
  4. Oehmen, C. S.; Baxter, D. J. (2013). "ScalaBLAST 2.0: Rapid and robust BLAST calculations on multiprocessor systems". Bioinformatics 29 (6): 797–798. doi:10.1093/bioinformatics/btt013. PMID 23361326.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3597145
  5. Altschul, Stephen; Gish, Warren; Miller, Webb; Myers, Eugene; Lipman, David (1990). "Basic local alignment search tool". Journal of Molecular Biology 215 (3): 403–410. doi:10.1016/S0022-2836(05)80360-2. PMID 2231712. http://www.blastalgorithm.com. 
  6. "Sense from Sequences: Stephen F. Altschul on Bettering BLAST". ScienceWatch. July–August 2000. Archived from the original on October 7, 2007. https://web.archive.org/web/20071007132448/http://www.sciencewatch.com/july-aug2000/sw_july-aug2000_page3.htm. 
  7. Mount, D. W. (2004). Bioinformatics: Sequence and Genome Analysis (2nd ed.). Cold Spring Harbor Press. ISBN 978-0-87969-712-9. http://www.bioinformaticsonline.org/. 
  8. Adapted from Biological Sequence Analysis I, Current Topics in Genome Analysis [1]
  9. "Program Selection Tables of the Blast NCBI web site". http://blast.ncbi.nlm.nih.gov/Blast.cgi?CMD=Web&PAGE_TYPE=BlastDocs&DOC_TYPE=ProgSelectionGuide. 
  10. Camacho, C.; Coulouris, G.; Avagyan, V.; Ma, N.; Papadopoulos, J.; Bealer, K.; Madden, T. L. (2009). "BLAST+: Architecture and applications". BMC Bioinformatics 10: 421. doi:10.1186/1471-2105-10-421. PMID 20003500.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2803857
  11. Vouzis, P. D.; Sahinidis, N. V. (2010). "GPU-BLAST: using graphics processors to accelerate protein sequence alignment". Bioinformatics 27 (2): 182–8. doi:10.1093/bioinformatics/btq644. PMID 21088027. PMC 3018811. http://bioinformatics.oxfordjournals.org/content/27/2/182. 
  12. Zhao, K.; Chu, X. (2014). "G-BLASTN: accelerating nucleotide alignment by graphics processors". Bioinformatics 30 (10): 1384–91. doi:10.1093/bioinformatics/btu047. PMID 24463183. http://bioinformatics.oxfordjournals.org/content/early/2014/01/24/bioinformatics.btu047.abstract. 
  13. Kent, W. James (2002-04-01). "BLAT—The BLAST-Like Alignment Tool" (in en). Genome Research 12 (4): 656–664. doi:10.1101/gr.229202. ISSN 1088-9051. PMID 11932250. PMC 187518. http://genome.cshlp.org/content/12/4/656. 
  14. Lavenier, D.; Lavenier, Dominique (2009). "PLAST: parallel local alignment search tool for database comparison". BMC Bioinformatics 10: 329. doi:10.1186/1471-2105-10-329. PMID 19821978. PMC 2770072. http://www.biomedcentral.com/1471-2105/10/329. 
  15. Lavenier, D. (2009). "Ordered index seed algorithm for intensive DNA sequence comparison". 2008 IEEE International Symposium on Parallel and Distributed Processing. pp. 1–8. doi:10.1109/IPDPS.2008.4536172. ISBN 978-1-4244-1693-6. http://www.hicomb.org/papers/HICOMB2008-01.pdf. 
  16. Buchfink, Xie and Huson (2015). "Fast and sensitive protein alignment using DIAMOND". Nature Methods 12 (1): 59–60. doi:10.1038/nmeth.3176. PMID 25402007.  https://dx.doi.org/10.1038%2Fnmeth.3176
  17. Steinegger, Martin; Soeding, Johannes (2017-10-16). "MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets". Nature Biotechnology 35 (11): 1026–1028. doi:10.1038/nbt.3988. PMID 29035372.  https://dx.doi.org/10.1038%2Fnbt.3988
  18. Neumann, Kumar and Shalchian-Tabrizi (2014). "BLAST output visualization in the new sequencing era". Briefings in Bioinformatics 15 (4): 484–503. doi:10.1093/bib/bbt009. PMID 23603091.  https://dx.doi.org/10.1093%2Fbib%2Fbbt009
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