Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Numerical methods for mapping of multiple QTL
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis. (ndim)
2003 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis concerns numerical methods for mapping of multiple quantitative trait loci, QTL. Interactions between multiple genetic loci influencing important traits, such as growth rate in farm animals and predisposition to cancer in humans, make it necessary to search for several QTL simultaneously. Simultaneous search for n QTL involves solving an n-dimensional global optimization problem, where each evaluation of the objective function consists of solving a generalized least squares problem. In Paper A we present efficient algorithms, mainly based on updated QR factorizations, for evaluating the objective functions of different parametric QTL mapping methods. One of these algorithms reduces the computational work required for an important function class by one order of magnitude compared with the best of the methods used by other authors. In Paper B previously utilized techniques for finding the global optimum of the objective function are compared with a new approach based on the DIRECT algorithm of Jones et al. The new method gives accurate results in one order of magnitude less time than the best of the formerly employed algorithms. Using the algorithms presented in Papers A and B, simultaneous search for at least three QTL, including computation of the relevant empirical significance thresholds, can be performed routinely.

Place, publisher, year, edition, pages
Uppsala University, 2003.
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2003-014
National Category
Bioinformatics (Computational Biology)
Research subject
Scientific Computing
Identifiers
URN: urn:nbn:se:uu:diva-86133OAI: oai:DiVA.org:uu-86133DiVA, id: diva2:116942
Supervisors
Available from: 2003-11-07 Created: 2007-01-25 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

fulltext(395 kB)79 downloads
File information
File name FULLTEXT01.pdfFile size 395 kBChecksum SHA-512
11da9ce4463a0fea023471736d0b9971262c0ac99f250b4fa80ac31875559a3fadf7524dd909d8d3b85c6ed892b996f5c2b2f71318f9837d9eb19c2cbde9f8f5
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Ljungberg, Kajsa
By organisation
Division of Scientific ComputingNumerical Analysis
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
Total: 79 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 757 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf