'Codon bias' diaporamas de présentation

Contents (1)

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Codon Bias and Regulation of Translation among Bacteria and Phages

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Genome evolution

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Dynamic Programming Algorithms II

Dynamic Programming Algorithms II. Mohammed Aledhari Bioinformatics / data mining Thursday May 23 rd , 2013 . Outline. Local Sequence Alignment Alignment with Gap Penalties Multiple Alignment Gene Prediction Statistical Approaches to Gene Prediction

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The evolution of expression patterns in the Arabidopsis genome

The evolution of expression patterns in the Arabidopsis genome. Todd Vision Department of Biology University of North Carolina at Chapel Hill. Driving forces in genome evolution. Proximate vs. ultimate explanations

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Yeast

Yeast. A sampling of the yeast proteome. Futcher B, Latter GI, Monardo P, McLaughlin CS, Garrels JI. Correlation between protein and mRNA abundance in yeast. Gygi SP, Rochon Y, Franza BR, Aebersold R. Objectives. Gather quantitative data for protein abundance.

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Models of Molecular Evolution II

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Biological Motivation Gene Finding

Biological Motivation Gene Finding. Rhys Price Jones Anne R. Haake. Gene Finding. Why do it? Find and annotate all the genes within the large volume of DNA sequence data how many genes in an organism? homologies? Gain understanding of problems in basic science

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1. Bacterial genomes - genes tightly packed, no introns...

HOW TO FIND GENES WITHIN A DNA SEQUENCE?. 1. Bacterial genomes - genes tightly packed, no introns. Scan for ORFs (open reading frames). check all 6 reading frames (both strands). Fig. 5.2. look for significant distance between potential start and stop codon (eg 100 codons).

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The little oscillator that could.

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