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Amarkovian analysis of bacterial genome sequence constraints
Aaron D. Skewes,
Roy D. Welch
Department of Biology
The BioInspired Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
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Dive into the research topics of 'Amarkovian analysis of bacterial genome sequence constraints'. Together they form a unique fingerprint.
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Keyphrases
Bacterial Genomes
100%
Sequence Constraint
100%
Bacterial Chromosome
100%
Genome Sequencing
100%
Codon
28%
Tree-based
28%
Low-rank Model
14%
16S Ribosomal RNA (16S rRNA)
14%
Unrooted Gene Tree
14%
Nucleotide Selection
14%
Convergent Evolution
14%
16S rRNA Sequencing
14%
Codon Usage
14%
Transition Matrix
14%
Degenerate Codon
14%
Markov Process
14%
Higher-order Model
14%
Transition Probability Matrix
14%
Triplet
14%
Reading Frame
14%
Fourth Order
14%
Biochemistry, Genetics and Molecular Biology
Bacterial Genome
100%
Bacterial Chromosome
100%
Codon
42%
16S Ribosomal RNA
28%
Transition Probability
14%
Nucleotide Sequence
14%
Reading Frame
14%
Convergent Evolution
14%
Codon Usage
14%
Open Reading Frame
14%
Agricultural and Biological Sciences
Codon
100%
Nucleotide Sequence
25%
Sequence Homology
25%
Convergent Evolution
25%
Open Reading Frame
25%