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Peter Pfaffelhuber
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2020 – today
- 2022
- [j10]Klara Elisabeth Burger, Peter Pfaffelhuber, Franz Baumdicker
:
Neural networks for self-adjusting mutation rate estimation when the recombination rate is unknown. PLoS Comput. Biol. 18(8) (2022) - 2021
- [j9]Nora Scherer
pgainsim: an R-package to assess the mode of inheritance for quantitative trait loci in GWAS. Bioinform. 37(18): 3061-3063 (2021) - [j8]Anton Pirogov, Peter Pfaffelhuber, Angelika Börsch-Haubold, Bernhard Haubold:
High-complexity regions in mammalian genomes are enriched for developmental genes. Bioinform. 37(19): 3388 (2021) - [j7]Peter Pfaffelhuber, Jakob Stiefel:
The range of once-reinforced random walk in one dimension. Random Struct. Algorithms 58(1): 164-175 (2021)
2010 – 2019
- 2019
- [j6]Anton Pirogov
High-complexity regions in mammalian genomes are enriched for developmental genes. Bioinform. 35(11): 1813-1819 (2019) - 2017
- [j5]Peter Czuppon
A spatial model for selection and cooperation. J. Appl. Probab. 54(2): 522-539 (2017) - 2015
- [j4]Bernhard Haubold, Fabian Klötzl, Peter Pfaffelhuber:
andi: Fast and accurate estimation of evolutionary distances between closely related genomes. Bioinform. 31(8): 1169-1175 (2015) - 2013
- [j3]Bernhard Haubold, Linda Krause
An alignment-free test for recombination. Bioinform. 29(24): 3121-3127 (2013) - 2011
- [j2]Bernhard Haubold, Floyd A. Reed
Alignment-free estimation of nucleotide diversity. Bioinform. 27(4): 449-455 (2011)
2000 – 2009
- 2009
- [j1]Bernhard Haubold, Peter Pfaffelhuber, Mirjana Domazet-Loso, Thomas Wiehe
Estimating Mutation Distances from Unaligned Genomes. J. Comput. Biol. 16(10): 1487-1500 (2009)
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