Next-generation bioinformatics: using many-core processor architecture to develop a web service for sequence alignment

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Bioinform.

• Publication date

  2010-03-01

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1093/bioinformatics/btq017PMID 20081221
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2008influential reference
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