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Simulerad effektivisering av genotypdataanalys genom poolade data
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, Division of Scientific Computing.
2016 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Simulated optimization of genotype data analysis bypooling data (English)
Abstract [sv]

Målet med projektet är att undersöka om det går att effektivisera hur man undersöker människors gener. Detta görs genom att skapa ett program i Java. Resultatet är ett program som sorterar genotypdata från 1000 Genomes Project och utvärderar nyttan av att undersöka genotyper från flera individer samtidigt.

Place, publisher, year, edition, pages
2016. , 26 p.
Series
TVE, TVE 16 027 maj
Keyword [en]
genotype, allele, optimization, microarray, 1000genomesproject, variantcontext, variantcall, vcf
Keyword [sv]
genotyp, genotypdata, effektivisering, allele, microarray, 1000genomesproject, minor allele frequency, variantcontext, variantcall, vcf
National Category
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-296223OAI: oai:DiVA.org:uu-296223DiVA: diva2:936818
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2016-06-23 Created: 2016-06-14 Last updated: 2016-06-23Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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  • Other locale
More languages
Output format
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