Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Peter Pfaffelhuber

Showing results (11-20 of 32) with videos related to

Pageof 4
Sort By:
Bioinformatics (Oxford, England)|December 16, 2014
andi: fast and accurate estimation of evolutionary distances between closely related genomesBernhard Haubold, Fabian Klötzl, Peter Pfaffelhuber
Genome Biology and Evolution|February 24, 2012
The infinitely many genes model for the distributed genome of bacteriaFranz Baumdicker, Wolfgang R Hess, Peter Pfaffelhuber
Plos Computational Biology|August 3, 2022
Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknownKlara Elisabeth Burger, Peter Pfaffelhuber, Franz Baumdicker
Bioinformatics (Oxford, England)|December 16, 2010
Alignment-free estimation of nucleotide diversityBernhard Haubold, Floyd A Reed, Peter Pfaffelhuber
G3 (Bethesda, Md.)|June 19, 2025
Revealing the range of equally likely estimates in the admixture modelCarola Sophia Heinzel, Franz Baumdicker, Peter Pfaffelhuber
Bioinformatics (Oxford, England)|March 19, 2021
pgainsim: an R-package to assess the mode of inheritance for quantitative trait loci in GWASNora Scherer, Peggy Sekula, Peter Pfaffelhuber, et al.
G3 (Bethesda, Md.)|November 9, 2019
Inference of Historical Population-Size Changes with Allele-Frequency DataMichael Lynch, Bernhard Haubold, Peter Pfaffelhuber, et al.
Bioinformatics (Oxford, England)|September 26, 2013
An alignment-free test for recombinationBernhard Haubold, Linda Krause, Thomas Horn, et al.
Forensic Science International. Genetics|June 16, 2025
Advancing biogeographical ancestry predictions through machine learningCarola Sophia Heinzel, Lennart Purucker, Frank Hutter, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 7, 2009
Estimating mutation distances from unaligned genomesBernhard Haubold, Peter Pfaffelhuber, Mirjana Domazet-Loso, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|December 16, 2014
andi: fast and accurate estimation of evolutionary distances between closely related genomesBernhard Haubold, Fabian Klötzl, Peter Pfaffelhuber
Genome Biology and Evolution|February 24, 2012
The infinitely many genes model for the distributed genome of bacteriaFranz Baumdicker, Wolfgang R Hess, Peter Pfaffelhuber
Plos Computational Biology|August 3, 2022
Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknownKlara Elisabeth Burger, Peter Pfaffelhuber, Franz Baumdicker
Bioinformatics (Oxford, England)|December 16, 2010
Alignment-free estimation of nucleotide diversityBernhard Haubold, Floyd A Reed, Peter Pfaffelhuber
G3 (Bethesda, Md.)|June 19, 2025
Revealing the range of equally likely estimates in the admixture modelCarola Sophia Heinzel, Franz Baumdicker, Peter Pfaffelhuber
Bioinformatics (Oxford, England)|March 19, 2021
pgainsim: an R-package to assess the mode of inheritance for quantitative trait loci in GWASNora Scherer, Peggy Sekula, Peter Pfaffelhuber, et al.
G3 (Bethesda, Md.)|November 9, 2019
Inference of Historical Population-Size Changes with Allele-Frequency DataMichael Lynch, Bernhard Haubold, Peter Pfaffelhuber, et al.
Bioinformatics (Oxford, England)|September 26, 2013
An alignment-free test for recombinationBernhard Haubold, Linda Krause, Thomas Horn, et al.
Forensic Science International. Genetics|June 16, 2025
Advancing biogeographical ancestry predictions through machine learningCarola Sophia Heinzel, Lennart Purucker, Frank Hutter, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 7, 2009
Estimating mutation distances from unaligned genomesBernhard Haubold, Peter Pfaffelhuber, Mirjana Domazet-Loso, et al.
Pageof 4