Literature DB >> 8832184

Automatic matrix determination in four dye fluorescence-based DNA sequencing.

Z Yin1, J Severin, M C Giddings, W A Huang, M S Westphall, L M Smith.   

Abstract

The four dye fluorescence detection strategy is a widely used approach to automated DNA sequence analysis. An important aspect of data processing in this approach is the multicomponent analysis to deduce the concentrations of four fluorophores from fluorescence emission intensities at four different wavelengths. This requires knowledge of the correct transformation matrix M. The matrix M is a function both of the fluorophores employed and the fluorescence detection system. M is typically determined either by a calibration process with individual dyes, or by choosing four well-separated individual peaks corresponding to the four different dyes. Both are time-consuming and complicated procedures for routine use. An automatic scheme for finding M directly from raw sequence data is presented here. This facilitates data analysis and the underlying algorithm may also find utility in other multispectral applications.

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Year:  1996        PMID: 8832184     DOI: 10.1002/elps.1150170626

Source DB:  PubMed          Journal:  Electrophoresis        ISSN: 0173-0835            Impact factor:   3.535


  3 in total

1.  Color-blind fluorescence detection for four-color DNA sequencing.

Authors:  Ernest K Lewis; Wade C Haaland; Freddy Nguyen; Daniel A Heller; Matthew J Allen; Robert R MacGregor; C Scott Berger; Britain Willingham; Lori A Burns; Graham B I Scott; Carter Kittrell; Bruce R Johnson; Robert F Curl; Michael L Metzker
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-30       Impact factor: 11.205

2.  BayesCall: A model-based base-calling algorithm for high-throughput short-read sequencing.

Authors:  Wei-Chun Kao; Kristian Stevens; Yun S Song
Journal:  Genome Res       Date:  2009-08-06       Impact factor: 9.043

3.  A software system for data analysis in automated DNA sequencing.

Authors:  M C Giddings; J Severin; M Westphall; J Wu; L M Smith
Journal:  Genome Res       Date:  1998-06       Impact factor: 9.043

  3 in total

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