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Bioinformatics (Oxford, England)|March 15, 2014
Lacking alignments? The next-generation sequencing mapper segemehl revisitedChristian Otto, Peter F Stadler, Steve Hoffmann
Bioinformatics (Oxford, England)|May 15, 2012
Fast and sensitive mapping of bisulfite-treated sequencing dataChristian Otto, Peter F Stadler, Steve Hoffmann
Algorithms for Molecular Biology : AMB|March 23, 2011
Fast local fragment chaining using sum-of-pair gap costsChristian Otto, Steve Hoffmann, Jan Gorodkin, et al.
Genome Research|December 4, 2015
metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing dataFrank Jühling, Helene Kretzmer, Stephan H Bernhart, et al.
Algorithms for Molecular Biology : AMB|March 20, 2015
A simple data-adaptive probabilistic variant calling modelSteve Hoffmann, Peter F Stadler, Korbinian Strimmer
Plos Computational Biology|September 15, 2009
Fast mapping of short sequences with mismatches, insertions and deletions using index structuresSteve Hoffmann, Christian Otto, Stefan Kurtz, et al.
F1000Research|October 6, 2017
BAT: Bisulfite Analysis Toolkit: BAT is a toolkit to analyze DNA methylation sequencing data accurately and reproducibly. It covers standard processing and analysis steps from raw read mapping up to annotation data integration and calculation of correlating DMRsHelene Kretzmer, Christian Otto, Steve Hoffmann
Biological Chemistry|February 25, 2011
Traces of post-transcriptional RNA modifications in deep sequencing dataSven Findeiss, David Langenberger, Peter F Stadler, et al.
Journal of Experimental Zoology. Part B, Molecular and Developmental Evolution|November 21, 2012
Dicer-processed small RNAs: rules and exceptionsDavid Langenberger, M Volkan Çakir, Steve Hoffmann, et al.
Briefings in Bioinformatics|February 24, 2021
Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysisAdam Nunn, Christian Otto, Peter F Stadler, et al.
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