Hidden patterns that matter: statistical methods for analysis of DNA and RNA data

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: id:"swepub:oai:DiVA.org:umu-175242" > Hidden patterns tha...

1 of 1
Previous record
Next record
To hitlist

Hidden patterns that matter : statistical methods for analysis of DNA and RNA data

Kellgren, Therese, 1983- (author): Umeå universitet,Institutionen för matematik och matematisk statistik

Rydén, Patrik, Lektor (thesis advisor): Umeå universitet,Institutionen för matematik och matematisk statistik

Sjöstedt de Luna, Sara, Professor, 1964- (thesis advisor): Umeå universitet,Institutionen för matematik och matematisk statistik

Jörnsten, Rebecka, Professor (opponent): Institutionen för Matematiska Vetenskaper, Chalmers tekniska högskola och Göteborgs universitet, Göteborg, Sverige

show less...

(creator_code:org_t)

ISBN 9789178552405
Umeå : Umeå universitet, Institutionen för matematik och matematisk statistik, 2020
English 26 s.
Series: Research report in mathematical statistics, 1653-0829 ; 71/20

Related links:: https://umu.diva-por...; show more...; https://umu.diva-por... (primary) (Raw object); https://urn.kb.se/re...; show less...

Doctoral thesis (other academic/artistic)

Abstract Subject headings

Understanding how the genetic variations can affect characteristics and function of organisms can help researchers and medical doctors to detect genetic alterations that cause disease and reveal genes that causes antibiotic resistance. The opportunities and progress associated with such data come however with challenges related to statistical analysis. It is only by using properly designed and employed tools, that we can extract the information about hidden patterns. In this thesis we present three types of such analysis. First, the genetic variant in the gene COL17A1 that causes corneal dystrophy with recurrent erosions is reveled. By studying Next-generation sequencing data, the order of the nucleotides in the DNAsequence was be obtained, which enabled us to detect interesting variants in the genome. Further, we present results of an experimental design study with the aim to make the best selection from a family that is affected by an inherited disease. In second part of the work, we analyzed a novel antibiotic resistance Staphylococcus epidermidis clone that is only found in northern Europe. By investigating its genetic data, we revealed similarities to a world known antibiotic resistance clone. As a result, the antibiotic resistance profile is established from the DNA sequences. Finally, we also focus on the challenges related to the abundance of genetic data from different sources. The increasing number of public gene expression datasets gives us opportunity to increase our understanding by using information from multiple sources simultaneously. Naturally, this requires merging independent datasets together. However, when doing so, the technical and biological variation in the joined data increases. We present a pre-processing method to construct gene co-expression networks from a large diverse gene-expression dataset.

Subject headings

NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
NATURVETENSKAP -- Biologi (hsv//swe)
NATURAL SCIENCES -- Biological Sciences (hsv//eng)

Keyword

Genome
Next-generation sequence
statistics
microarrays
bacteria
antibiotic resistance
inherited diseases
Co-expression networks
centralization within subgroups

Publication and Content Type

vet (subject category)
dok (subject category)

Find in a library

Hidden patterns that matter statistical methods for analysis of DNA and RNA data... (Search the publication in LIBRIS)

To the university's database

1 of 1
Previous record
Next record
To hitlist

Find more in SwePub

By the author/editor: Kellgren, Theres ...; Rydén, Patrik, L ...; Sjöstedt de Luna ...; Jörnsten, Rebeck ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Mathematics; and Probability Theo ...

NATURAL SCIENCES: NATURAL SCIENCES; and Biological Scien ...

Parts in the series: Research report ...

By the university: Umeå University

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se