Adaptive seeds tame genomic sequence comparison

Szymon M. Kiełbasa, Raymond Wan, Kengo Sato, Paul Horton, Martin C. Frith

Research output: Contribution to journalArticle

473 Citations (Scopus)

Abstract

The main way of analyzing biological sequences is by comparing and aligning them to each other. It remains difficult, however, to compare modern multi-billionbase DNA data sets. The difficulty is caused by the nonuniform (oligo)nucleotide composition of these sequences, rather than their size per se. To solve this problem, we modified the standard seed-and-extend approach (e.g., BLAST) to use adaptive seeds. Adaptive seeds are matches that are chosen based on their rareness, instead of using fixed-length matches. This method guarantees that the number of matches, and thus the running time, increases linearly, instead of quadratically, with sequence length. LAST, our open source implementation of adaptive seeds, enables fast and sensitive comparison of large sequences with arbitrarily nonuniform composition.

Original languageEnglish
Pages (from-to)487-493
Number of pages7
JournalGenome Research
Volume21
Issue number3
DOIs
Publication statusPublished - 2011 Mar

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Fingerprint Dive into the research topics of 'Adaptive seeds tame genomic sequence comparison'. Together they form a unique fingerprint.

  • Cite this

    Kiełbasa, S. M., Wan, R., Sato, K., Horton, P., & Frith, M. C. (2011). Adaptive seeds tame genomic sequence comparison. Genome Research, 21(3), 487-493. https://doi.org/10.1101/gr.113985.110