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  • When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow constantly, the efficiency of retrieval methods becomes the critical issue. The sequence retrieval relies on finding sequences in the database which align best with the query sequence. However, an optimal alignment can be found in quadratic time (by use of dynamic programming) while this is infeasible when dealing with large databases. The existing solutions use fast heuristic methods (like BLAST, FASTA) which produce only an uncontrolled approximation of the best alignment and even do not provide any information about the alignment approximation error. In this paper we propose an approach of exact and approximate indexing using several metric access methods (MAMs) in combination with the TriGen algorithm, in order to reduce the number of alignments (distance computations) needed.
  • When searching databases of nucleotide or protein sequences, finding a local alignment of two sequences is one of the main tasks. Since the sizes of available databases grow constantly, the efficiency of retrieval methods becomes the critical issue. The sequence retrieval relies on finding sequences in the database which align best with the query sequence. However, an optimal alignment can be found in quadratic time (by use of dynamic programming) while this is infeasible when dealing with large databases. The existing solutions use fast heuristic methods (like BLAST, FASTA) which produce only an uncontrolled approximation of the best alignment and even do not provide any information about the alignment approximation error. In this paper we propose an approach of exact and approximate indexing using several metric access methods (MAMs) in combination with the TriGen algorithm, in order to reduce the number of alignments (distance computations) needed. (en)
Title
  • Index-based approach to similarity search in protein and nucleotide databases
  • Index-based approach to similarity search in protein and nucleotide databases (en)
skos:prefLabel
  • Index-based approach to similarity search in protein and nucleotide databases
  • Index-based approach to similarity search in protein and nucleotide databases (en)
skos:notation
  • RIV/00216208:11320/07:00206200!RIV10-GA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP201/05/P036), Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 425966
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/07:00206200
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Index-based; approach; similarity; search; protein; nucleotide; databases (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [52B44C12DADA]
http://linked.open...v/mistoKonaniAkce
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • DATESO 2007
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Skopal, Tomáš
  • Hoksza, David
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000272455400007
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Matfyz Press, Praha
https://schema.org/isbn
  • 978-80-7378-002-9
http://localhost/t...ganizacniJednotka
  • 11320
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