Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content

Genomic sequencing projects are an abundant source of information for biological studies ranging from the molecular to the ecological in scale; however, much of the information present may yet be hidden from casual analysis. One such information domain, trends in codon usage, can provide a wealth of...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2010-04, Vol.7 (2), p.238-250
Hauptverfasser:	Raiford, Douglas W, Krane, Dan E, Doom, Travis E, Raymer, Michael L
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Amino acids Bacteria - genetics Bacteriology Base Composition - genetics Bias Bioinformatics Biological information theory Codon - genetics Codon - metabolism Codon usage bias Data analysis Data visualization Databases, Genetic Efficiency GC-content Genes, Bacterial Genetics Genomics Genomics - methods Information analysis Information resources Oligonucleotide Array Sequence Analysis Principal Component Analysis Protein Biosynthesis Resists Sequence Analysis, DNA - methods Statistics, Nonparametric strand bias translational efficiency
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