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Statistical Applications in Genetics and Molecular Biology
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April 14, 2012
Improving Hidden Markov Models for classification of human immunodeficiency virus-1 subtypes through linear classifier learning
Ingo Bulla, Anne-Kathrin Schultz, Peter Meinicke
BMC Bioinformatics
|
June 21, 2014
A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection
Ingo Bulla, Anne-Kathrin Schultz, Christophe Chesneau, et al.
BMC Bioinformatics
|
April 13, 2011
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, et al.
Nucleic Acids Research
|
May 16, 2009
jpHMM: improving the reliability of recombination prediction in HIV-1
Anne-Kathrin Schultz, Ming Zhang, Ingo Bulla, et al.
BMC Bioinformatics
|
May 24, 2006
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, et al.
Nucleic Acids Research
|
July 18, 2006
jpHMM at GOBICS: a web server to detect genomic recombinations in HIV-1
Ming Zhang, Anne-Kathrin Schultz, Charles Calef, et al.
Bioinformatics (Oxford, England)
|
April 20, 2010
HIV classification using the coalescent theory
Ingo Bulla, Anne-Kathrin Schultz, Fabian Schreiber, et al.
Nucleic Acids Research
|
May 19, 2012
jpHMM: recombination analysis in viruses with circular genomes such as the hepatitis B virus
Anne-Kathrin Schultz, Ingo Bulla, Mariama Abdou-Chekaraou, et al.
Retrovirology
|
March 25, 2010
The role of recombination in the emergence of a complex and dynamic HIV epidemic
Ming Zhang, Brian Foley, Anne-Kathrin Schultz, et al.
Journal of Virology
|
December 2, 2016
Genetic Variability of Myxoma Virus Genomes
Christoph Braun, Andrea Thürmer, Rolf Daniel, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Statistical Applications in Genetics and Molecular Biology
|
April 14, 2012
Improving Hidden Markov Models for classification of human immunodeficiency virus-1 subtypes through linear classifier learning
Ingo Bulla, Anne-Kathrin Schultz, Peter Meinicke
BMC Bioinformatics
|
June 21, 2014
A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection
Ingo Bulla, Anne-Kathrin Schultz, Christophe Chesneau, et al.
BMC Bioinformatics
|
April 13, 2011
Detection of viral sequence fragments of HIV-1 subfamilies yet unknown
Thomas Unterthiner, Anne-Kathrin Schultz, Jan Bulla, et al.
Nucleic Acids Research
|
May 16, 2009
jpHMM: improving the reliability of recombination prediction in HIV-1
Anne-Kathrin Schultz, Ming Zhang, Ingo Bulla, et al.
BMC Bioinformatics
|
May 24, 2006
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, et al.
Nucleic Acids Research
|
July 18, 2006
jpHMM at GOBICS: a web server to detect genomic recombinations in HIV-1
Ming Zhang, Anne-Kathrin Schultz, Charles Calef, et al.
Bioinformatics (Oxford, England)
|
April 20, 2010
HIV classification using the coalescent theory
Ingo Bulla, Anne-Kathrin Schultz, Fabian Schreiber, et al.
Nucleic Acids Research
|
May 19, 2012
jpHMM: recombination analysis in viruses with circular genomes such as the hepatitis B virus
Anne-Kathrin Schultz, Ingo Bulla, Mariama Abdou-Chekaraou, et al.
Retrovirology
|
March 25, 2010
The role of recombination in the emergence of a complex and dynamic HIV epidemic
Ming Zhang, Brian Foley, Anne-Kathrin Schultz, et al.
Journal of Virology
|
December 2, 2016
Genetic Variability of Myxoma Virus Genomes
Christoph Braun, Andrea Thürmer, Rolf Daniel, et al.
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of 1