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Sökning: id:"swepub:oai:DiVA.org:kth-276495" > SeqCAT :

SeqCAT : A bioconductor R-package for variant analysis of high throughput sequencing data [version 1; peer review: 1 approved with reservations, 1 not approved]

Fasterius, Erik, 1987- (författare)
KTH,Systembiologi
Al-Khalili Szigyarto, Cristina (författare)
KTH,Science for Life Laboratory, SciLifeLab,Systembiologi
 (creator_code:org_t)
F1000 Research Ltd, 2018
2018
Engelska.
Ingår i: F1000 Research. - : F1000 Research Ltd. - 2046-1402. ; 7
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • High throughput sequencing technologies are flourishing in the biological sciences, enabling unprecedented insights into e.g. genetic variation, but require extensive bioinformatic expertise for the analysis. There is thus a need for simple yet effective software that can analyse both existing and novel data, providing interpretable biological results with little bioinformatic prowess. We present seqCAT, a Bioconductor toolkit for analysing genetic variation in high throughput sequencing data. It is a highly accessible, easy-to-use and well-documented R-package that enables a wide range of researchers to analyse their own and publicly available data, providing biologically relevant conclusions and publication-ready figures. SeqCAT can provide information regarding genetic similarities between an arbitrary number of samples, validate specific variants as well as define functionally similar variant groups for further downstream analyses. Its ease of use, installation, complete data-to-conclusions functionality and the inherent flexibility of the R programming language make seqCAT a powerful tool for variant analyses compared to already existing solutions. A publicly available dataset of liver cancer-derived organoids is analysed herein using the seqCAT package, demonstrating that the organoids are genetically stable. A previously known liver cancer-related mutation is additionally shown to be present in a sample though it was not listed in the original publication. Differences between DNA- and RNA-based variant calls in this dataset are also analysed revealing a high median concordance of 97.5%. 

Ämnesord

NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medical Genetics (hsv//eng)

Nyckelord

Bioconductor
High throughput sequencing
R
RNA sequencing
Single nucleotide variant
Variant analysis
Whole exome sequencing
Article
bioinformatics
controlled study
data analysis
gene ontology
genetic difference
genetic heterogeneity
genetic variation
human
Kyoto Encyclopedia of Genes and Genomes
liver cancer
organoid
single nucleotide polymorphism

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Al-Khalili Szigy ...
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och Biologi
och Bioinformatik oc ...
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MEDICIN OCH HÄLS ...
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