Modeling site-specific nucleotide biases affecting himar1 transposon insertion frequencies in tnseq data sets

Modeling site-specific nucleotide biases affecting himar1 transposon insertion frequencies in tnseq data sets

TnSeq is a widely used methodology for determining gene essentiality, conditional fitness, and genetic interactions in bacteria. The Himar1 transposon is restricted to insertions at TA dinucleotides, but otherwise, few site-specific biases have been identified. As a result, most analytical approache...

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Bibliographic Details
Main Authors: Akusobi, C. (Author), Brown, A.J (Author), Choudhery, S. (Author), Ioerger, T.R (Author), Rubin, E.J (Author), Sassetti, C.M (Author)
Format: Article
Language:English
Published: American Society for Microbiology 2021
Subjects:
Article
Caulobacter vibrioides
controlled study
DNA binding protein
essential gene
functional genomics
Gene essentiality
gene insertion
gene interaction
genetic background
himar1 transposon
Himar1 transposon
Linear regression models
machine learning
Machine learning
Mutant fitness
Mycobacterium tuberculosis
nonhuman
nucleotide
Nucleotide patterns
regression model
single nucleotide polymorphism
Statistical analysis
statistical model
TnSeq
transposon
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