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Nick Goldman

Showing results (21-30 of 100) with videos related to

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BMC Bioinformatics|November 30, 2010
webPRANK: a phylogeny-aware multiple sequence aligner with interactive alignment browserAri Löytynoja, Nick Goldman
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|October 15, 2008
Introduction. Statistical and computational challenges in molecular phylogenetics and evolutionNick Goldman, Ziheng Yang
Plos One|August 19, 2011
Addressing inter-gene heterogeneity in maximum likelihood phylogenomic analysis: yeasts revisitedJaqueline Hess, Nick Goldman
Journal of Molecular Biology|July 2, 2011
Markovian and non-Markovian protein sequence evolution: aggregated Markov process modelsCarolin Kosiol, Nick Goldman
Systematic Biology|July 6, 2014
Maximum likelihood inference of small trees in the presence of long branchesSarah L Parks, Nick Goldman
NAR Genomics and Bioinformatics|September 19, 2024
A generalized protein identification method for novel and diverse sequencing technologiesBikash Kumar Bhandari, Nick Goldman
Molecular Biology and Evolution|April 3, 2007
An empirical codon model for protein sequence evolutionCarolin Kosiol, Ian Holmes, Nick Goldman
Systematic Biology|June 9, 2017
More on the Best Evolutionary Rate for Phylogenetic AnalysisSeraina Klopfstein, Tim Massingham, Nick Goldman
Proceedings of the National Academy of Sciences of the United States of America|October 7, 2009
In defense of statistical methods for detecting positive selectionZiheng Yang, Rasmus Nielsen, Nick Goldman
Trends in Genetics : TIG|October 28, 2008
Evolutionary footprints of nucleosome positions in yeastStefan Washietl, Rainer Machné, Nick Goldman
Pageof 10

Showing results (21-30 of 100) with videos related to

Sort By:
Pageof 10
BMC Bioinformatics|November 30, 2010
webPRANK: a phylogeny-aware multiple sequence aligner with interactive alignment browserAri Löytynoja, Nick Goldman
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|October 15, 2008
Introduction. Statistical and computational challenges in molecular phylogenetics and evolutionNick Goldman, Ziheng Yang
Plos One|August 19, 2011
Addressing inter-gene heterogeneity in maximum likelihood phylogenomic analysis: yeasts revisitedJaqueline Hess, Nick Goldman
Journal of Molecular Biology|July 2, 2011
Markovian and non-Markovian protein sequence evolution: aggregated Markov process modelsCarolin Kosiol, Nick Goldman
Systematic Biology|July 6, 2014
Maximum likelihood inference of small trees in the presence of long branchesSarah L Parks, Nick Goldman
NAR Genomics and Bioinformatics|September 19, 2024
A generalized protein identification method for novel and diverse sequencing technologiesBikash Kumar Bhandari, Nick Goldman
Molecular Biology and Evolution|April 3, 2007
An empirical codon model for protein sequence evolutionCarolin Kosiol, Ian Holmes, Nick Goldman
Systematic Biology|June 9, 2017
More on the Best Evolutionary Rate for Phylogenetic AnalysisSeraina Klopfstein, Tim Massingham, Nick Goldman
Proceedings of the National Academy of Sciences of the United States of America|October 7, 2009
In defense of statistical methods for detecting positive selectionZiheng Yang, Rasmus Nielsen, Nick Goldman
Trends in Genetics : TIG|October 28, 2008
Evolutionary footprints of nucleosome positions in yeastStefan Washietl, Rainer Machné, Nick Goldman
Pageof 10