Algorithms for sequence analysis via mutagenesis

Jonathan M. Keith, Peter Adams, Darryn Bryant, Duncan A. E. Cochran, Gita H. Lala and Keith R. Mitchelson (2004) Algorithms for sequence analysis via mutagenesis. Bioinformatics, 20 15: 2401-2410. doi:10.1093/bioinformatics/bth258

Author Jonathan M. Keith
Peter Adams
Darryn Bryant
Duncan A. E. Cochran
Gita H. Lala
Keith R. Mitchelson
Title Algorithms for sequence analysis via mutagenesis
Journal name Bioinformatics   Check publisher's open access policy
ISSN 1367-4803
Publication date 2004-01-01
Year available 2004
Sub-type Article (original research)
DOI 10.1093/bioinformatics/bth258
Open Access Status
Volume 20
Issue 15
Start page 2401
End page 2410
Total pages 10
Editor D. Prosser
Place of publication United Kingdom
Publisher Oxford University Press
Language eng
Subject 230101 Mathematical Logic, Set Theory, Lattices And Combinatorics
230116 Numerical Analysis
Abstract Despite many successes of conventional DNA sequencing methods, some DNAs remain difficult or impossible to sequence. Unsequenceable regions occur in the genomes of many biologically important organisms, including the human genome. Such regions range in length from tens to millions of bases, and may contain valuable information such as the sequences of important genes. The authors have recently developed a technique that renders a wide range of problematic DNAs amenable to sequencing. The technique is known as sequence analysis via mutagenesis (SAM). This paper presents a number of algorithms for analysing and interpreting data generated by this technique.
Keyword Sequence analysis via mutagenesis (SAM)
Sanger sequencing
Q-Index Code C1
Institutional Status UQ
Additional Notes The original publication is available at

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Created: Mon, 16 Apr 2007, 20:26:25 EST by Mrs Leith Woodall on behalf of School of Mathematics & Physics