Data-adaptive algorithms for calling alleles in repeat polymorphisms

Roland Stoughton, Roger Bumgarner, William J. Frederick, Richard A. McIndoe

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Data-adaptive algorithms are presented for separating overlapping signatures of heterozygotic allele pairs in electrophoresis data. Application is demonstrated for human microsatellite CA-repeat polymorphisms in LiCor 4000 and ABI 373 data. The algorithms allow overlapping alleles to be called correctly in almost every case where a trained observer could do so, and provide a fast automated objective alternative to human reading of the gels. The algorithm also supplies an indication of confidence level which can be used to flag marginal cases for verification by eye, or as input to later stages of statistical analysis.

Original languageEnglish (US)
Pages (from-to)1-5
Number of pages5
JournalELECTROPHORESIS
Volume18
Issue number1
DOIs
StatePublished - Jan 1 1997
Externally publishedYes

Keywords

  • Algorithms
  • Allele calling
  • Microsatellite repeats

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Clinical Biochemistry

Fingerprint Dive into the research topics of 'Data-adaptive algorithms for calling alleles in repeat polymorphisms'. Together they form a unique fingerprint.

  • Cite this