Abstract

TBLASTN is widely used, as it is common to wish to compare proteins to chromosomes or to libraries of mRNAs. Composition-based statistics improve the statistical accuracy, and therefore the reliability, of TBLASTN results. The algorithms used by TBLASTN are not widely known, and some of the most important are reported here. The data used to test TBLASTN are available for download and may be useful in other studies of translated search algorithms.

Keywords

Composition (language)Computer scienceInformation retrievalStatisticsBiologyData miningComputational biologyDatabaseMathematics

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Publication Info

Year
2006
Type
article
Volume
4
Issue
1
Pages
41-41
Citations
581
Access
Closed

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E. Michael Gertz, Yi‐Kuo Yu, Richa Agarwala et al. (2006). Composition-based statistics and translated nucleotide searches: Improving the TBLASTN module of BLAST. BMC Biology , 4 (1) , 41-41. https://doi.org/10.1186/1741-7007-4-41

Identifiers

DOI
10.1186/1741-7007-4-41