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In Silico Tools for Gene Discovery pp 223–237Cite as

Mutation Surveyor: An In Silico Tool for Sequencing Analysis

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Part of the book series: Methods in Molecular Biology ((MIMB,volume 760))

Abstract

DNA sequencing is widely used for DNA diagnostics and functional studies of genes of interest. With significantly increased sequencing outputs, manual reading of sequence results can impede an efficient and accurate analysis. Mutation Surveyor is a useful in silico tool developed by SoftGenetics that assists the detection of sequence variations within Sanger sequencing traces. This tool can process up to 400 lanes of data at a time with high accuracy and sensitivity. It can effectively detect SNPs and indels in their homozygous or heterozygous states as well as mosaicism. In this chapter, we describe the general application of Mutation Surveyor for DNA sequencing analysis and its unique features.

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References

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Author information

Authors and Affiliations

  1. Plant Breeding Institute, The University of Sydney, Cobbitty, NSW, Australia

    Chongmei Dong

  2. Department of Molecular and Clinical Genetics, Royal Prince Alfred Hospital, Camperdown, NSW, Australia

    Bing Yu

  3. Sydney Medical School (Central), The University of Sydney, Camperdown, NSW, Australia

    Bing Yu

Authors
  1. Chongmei Dong
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  2. Bing Yu
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Corresponding author

Correspondence to Chongmei Dong .

Editor information

Editors and Affiliations

  1. Royal Prince Alfred Hospital, Dept. of Molecular & Clinical Genetics, University of Sydney, Missenden Road, Camperdown, 2050, New South Wales, Australia

    Bing Yu

  2. Royal Prince Alfred Hospital, Dept. Molecular & Clinical Genetics, University of Sydney, Missenden Road, Camperdown, 2050, New South Wales, Australia

    Marcus Hinchcliffe

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© 2011 Springer Science+Business Media, LLC

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Cite this protocol

Dong, C., Yu, B. (2011). Mutation Surveyor: An In Silico Tool for Sequencing Analysis. In: Yu, B., Hinchcliffe, M. (eds) In Silico Tools for Gene Discovery. Methods in Molecular Biology, vol 760. Humana Press. https://doi.org/10.1007/978-1-61779-176-5_14

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  • DOI: https://doi.org/10.1007/978-1-61779-176-5_14

  • Published:

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-61779-175-8

  • Online ISBN: 978-1-61779-176-5

  • eBook Packages: Springer Protocols

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