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Bioinformatics (Oxford, England)|December 16, 2014
andi: fast and accurate estimation of evolutionary distances between closely related genomesBernhard Haubold, Fabian Klötzl, Peter PfaffelhuberGenome Biology and Evolution|February 24, 2012
The infinitely many genes model for the distributed genome of bacteriaFranz Baumdicker, Wolfgang R Hess, Peter PfaffelhuberPlos Computational Biology|August 3, 2022
Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknownKlara Elisabeth Burger, Peter Pfaffelhuber, Franz BaumdickerBioinformatics (Oxford, England)|December 16, 2010
Alignment-free estimation of nucleotide diversityBernhard Haubold, Floyd A Reed, Peter PfaffelhuberG3 (Bethesda, Md.)|June 19, 2025
Revealing the range of equally likely estimates in the admixture modelCarola Sophia Heinzel, Franz Baumdicker, Peter PfaffelhuberBioinformatics (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