Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion

Not available === text

Bibliographic Details
Main Author: Zwickl, Derrick Joel
Format: Others
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/2152/2666
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spelling ndltd-UTEXAS-oai-repositories.lib.utexas.edu-2152-26662015-09-20T16:51:08ZGenetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterionZwickl, Derrick JoelPhylogeny--Data processingNot availabletext2008-08-28T23:01:34Z2008-08-28T23:01:34Z20062008-08-28T23:01:34ZThesiselectronicb64905330http://hdl.handle.net/2152/266685839175engCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.
collection NDLTD
language English
format Others
sources NDLTD
topic Phylogeny--Data processing
spellingShingle Phylogeny--Data processing
Zwickl, Derrick Joel
Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
description Not available === text
author Zwickl, Derrick Joel
author_facet Zwickl, Derrick Joel
author_sort Zwickl, Derrick Joel
title Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
title_short Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
title_full Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
title_fullStr Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
title_full_unstemmed Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
title_sort genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion
publishDate 2008
url http://hdl.handle.net/2152/2666
work_keys_str_mv AT zwicklderrickjoel geneticalgorithmapproachesforthephylogeneticanalysisoflargebiologicalsequencedatasetsunderthemaximumlikelihoodcriterion
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