Bioinformatics analysis of sequence data

Anthony T. Papenfuss, Daniel Cameron, Jan Schroeder, Ismael Vergara

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

Bioinformatics is the application of mathematics, statistics and computer science to biological data. In this chapter, we introduce this discipline and describe approaches to basic analyses of genomic DNA and RNA data.

Original languageEnglish
Title of host publicationMolecular Pathology in Cancer Research
EditorsSunil R. Lakhani, Stephen B. Fox
Place of PublicationNew York, NY
PublisherSpringer
Pages317-333
Number of pages17
ISBN (Electronic)9781493966431
ISBN (Print)9781493966417
DOIs
Publication statusPublished - 2017
Externally publishedYes

Keywords

  • Bioinformatics
  • Computational biology
  • Copy number variants
  • Fusion genes
  • Single nucleotide variants
  • SNP arrays
  • Structural variants

Cite this

Papenfuss, A. T., Cameron, D., Schroeder, J., & Vergara, I. (2017). Bioinformatics analysis of sequence data. In S. R. Lakhani, & S. B. Fox (Eds.), Molecular Pathology in Cancer Research (pp. 317-333). New York, NY: Springer. https://doi.org/10.1007/978-1-4939-6643-1_14
Papenfuss, Anthony T. ; Cameron, Daniel ; Schroeder, Jan ; Vergara, Ismael. / Bioinformatics analysis of sequence data. Molecular Pathology in Cancer Research. editor / Sunil R. Lakhani ; Stephen B. Fox. New York, NY : Springer, 2017. pp. 317-333
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Papenfuss, AT, Cameron, D, Schroeder, J & Vergara, I 2017, Bioinformatics analysis of sequence data. in SR Lakhani & SB Fox (eds), Molecular Pathology in Cancer Research. Springer, New York, NY, pp. 317-333. https://doi.org/10.1007/978-1-4939-6643-1_14

Bioinformatics analysis of sequence data. / Papenfuss, Anthony T.; Cameron, Daniel; Schroeder, Jan; Vergara, Ismael.

Molecular Pathology in Cancer Research. ed. / Sunil R. Lakhani; Stephen B. Fox. New York, NY : Springer, 2017. p. 317-333.

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

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AU - Cameron, Daniel

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KW - Computational biology

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KW - Fusion genes

KW - Single nucleotide variants

KW - SNP arrays

KW - Structural variants

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BT - Molecular Pathology in Cancer Research

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PB - Springer

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Papenfuss AT, Cameron D, Schroeder J, Vergara I. Bioinformatics analysis of sequence data. In Lakhani SR, Fox SB, editors, Molecular Pathology in Cancer Research. New York, NY: Springer. 2017. p. 317-333 https://doi.org/10.1007/978-1-4939-6643-1_14