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DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution. Reed A. Cartwright Department of Genetics University of Georgia. Synopsis. Explain the importance of simulations. Introduce Dawg, a new sequence simulation program. Example usage of Dawg. Why Simulate Phylogenies?.

By yama
(189 views)

DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution. Reed A. Cartwright Department of Genetics University of Georgia. Synopsis. Explain the importance of simulations. Introduce Dawg, a new sequence simulation program. Example usage of Dawg. Why Simulate Phylogenies?.

By zoe-singleton
(66 views)


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DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution

DNA Assembly with Gaps: Simulating Sequence Evolution. Reed A. Cartwright Department of Genetics University of Georgia. Synopsis. Explain the importance of simulations. Introduce Dawg, a new sequence simulation program. Example usage of Dawg. Why Simulate Phylogenies?.

By yama (185 views)

Sequence Gaps

Sequence Gaps

Chromosome 17. Oligo Results. Sequence Gaps. Segmental Duplications. BAC Clones. Oligo Probes. RefSeq Genes. SGL GPS.

By dennis-walters (104 views)

Sequence Evolution

Sequence Evolution

Sequence Evolution. What are mutations and what do they tell us about evolution? What is recombination and how can it be factored into evolutionary analyses? Analysing natural selection. A. T. A. T. What are mutations?. G. C. G. C. Chemicals Light High energy particles. T. A. T.

By bbartel (0 views)

Sequence Evolution

Sequence Evolution

Sequence Evolution. What are mutations and what do they tell us about evolution ? What is recombination and how can it be factored into evolutionary analyses? Analysing natural selection. Different types of mutation. 4 types of mutant. Harmful. Neutral. Conditionally useful. Useful.

By mgadsden (0 views)

Learning by Simulating Evolution

Learning by Simulating Evolution

Learning by Simulating Evolution. Artificial Intelligence CSMC 25000 February 21, 2002. Agenda. Motivation: Evolving a solution Genetic Algorithms Modeling search as evolution Mutation Crossover Survival of the fittest Survival of the most diverse Conclusions. Motivation: Evolution.

By jessier (0 views)

Learning by Simulating Evolution

Learning by Simulating Evolution

Learning by Simulating Evolution. Artificial Intelligence CSMC 25000 February 21, 2002. Agenda. Motivation: Evolving a solution Genetic Algorithms Modeling search as evolution Mutation Crossover Survival of the fittest Survival of the most diverse Conclusions. Motivation: Evolution.

By hedley-griffin (124 views)

orz’s sequence evolution

orz’s sequence evolution

orz’s sequence evolution. Kun-Mao Chao ( 趙坤茂 ) Department of Computer Science and Information Engineering National Taiwan University, Taiwan WWW: http://www.csie.ntu.edu.tw/~kmchao. orz’s sequence evolution. the origin? their evolutionary relationships?

By abril (87 views)

Sequence Alignment II Gaps, Heuristic Search

Sequence Alignment II Gaps, Heuristic Search

Sequence Alignment II Gaps, Heuristic Search. Alignment with Gaps – Example. 1. 2. Gaps. Both alignments have the same number of matches and spaces but alignment 2 seems better Definition : A gap is any maximal, consecutive run of spaces in a single string.

By carolburton (0 views)

Models of Sequence Evolution

Models of Sequence Evolution

Models of Sequence Evolution. JC69: Jukes-Cantor (1969) Model. Assumes all bases interchange with equal probabilities, equal base frequencies. F81: Felsenstein (1981) Model. Assumes all bases interchange with equal probabilities, base frequencies may vary.

By vargasp (1 views)