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Statistical signals

Part 4. Bioinformatics

4.1. Genome Assembly and Sequencing

Short Specialist Review

  1. Andrew J. Gentles,
  2. Samuel Karlin

Published Online: 15 OCT 2004

DOI: 10.1002/047001153X.g401308

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics

How to Cite

Gentles, A. J. and Karlin, S. 2004. Statistical signals. Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics. 4:4.1:6.

Author Information

  1. Stanford University, Stanford, CA, USA

Publication History

  1. Published Online: 15 OCT 2004

Abstract

Statistical signals play a central role in a wide range of bioinformatics tools and analyses. The basic theory underlying general scoring schemes, particularly maximal aggregate scoring segments, is reviewed briefly. Applications include homology detection using BLAST, alignment algorithms that incorporate global normalization, analysis of distributions of sequence markers (r-scans), and characterization of frequent words and repeat abundances in DNA and protein sequences.

Keywords:

  • statistical sequence analysis;
  • scoring schemes;
  • r-scan analysis;
  • frequent words;
  • BLAST;
  • homology searching