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Jens Keilwagen

Showing results (1-10 of 64) with videos related to

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Nucleic Acids Research|June 28, 2015
Varying levels of complexity in transcription factor binding motifsJens Keilwagen, Jan Grau
Genome Biology|January 12, 2019
Accurate prediction of cell type-specific transcription factor bindingJens Keilwagen, Stefan Posch, Jan Grau
Bioinformatics (Oxford, England)|June 22, 2019
DepLogo: visualizing sequence dependencies in RJan Grau, Martin Nettling, Jens Keilwagen
Methods in Molecular Biology (Clifton, N.J.)|April 26, 2019
GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq DataJens Keilwagen, Frank Hartung, Jan Grau
Plos One|March 22, 2014
Area under precision-recall curves for weighted and unweighted dataJens Keilwagen, Ivo Grosse, Jan Grau
Bioinformatics (Oxford, England)|March 27, 2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in RJan Grau, Ivo Grosse, Jens Keilwagen
The Journal of General Virology|July 27, 2018
Baculovirus Kimura two-parameter species demarcation criterion is confirmed by the distances of 38 core gene nucleotide sequencesJörg T Wennmann, Jens Keilwagen, Johannes A Jehle
Nucleic Acids Research|September 24, 2013
A general approach for discriminative de novo motif discovery from high-throughput dataJan Grau, Stefan Posch, Ivo Grosse, et al.
Bioinformatics (Oxford, England)|April 30, 2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip dataMichael Seifert, Jens Keilwagen, Marc Strickert, et al.
BMC Bioinformatics|March 24, 2010
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysisJens Keilwagen, Jan Grau, Stefan Posch, et al.
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Nucleic Acids Research|June 28, 2015
Varying levels of complexity in transcription factor binding motifsJens Keilwagen, Jan Grau
Genome Biology|January 12, 2019
Accurate prediction of cell type-specific transcription factor bindingJens Keilwagen, Stefan Posch, Jan Grau
Bioinformatics (Oxford, England)|June 22, 2019
DepLogo: visualizing sequence dependencies in RJan Grau, Martin Nettling, Jens Keilwagen
Methods in Molecular Biology (Clifton, N.J.)|April 26, 2019
GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq DataJens Keilwagen, Frank Hartung, Jan Grau
Plos One|March 22, 2014
Area under precision-recall curves for weighted and unweighted dataJens Keilwagen, Ivo Grosse, Jan Grau
Bioinformatics (Oxford, England)|March 27, 2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in RJan Grau, Ivo Grosse, Jens Keilwagen
The Journal of General Virology|July 27, 2018
Baculovirus Kimura two-parameter species demarcation criterion is confirmed by the distances of 38 core gene nucleotide sequencesJörg T Wennmann, Jens Keilwagen, Johannes A Jehle
Nucleic Acids Research|September 24, 2013
A general approach for discriminative de novo motif discovery from high-throughput dataJan Grau, Stefan Posch, Ivo Grosse, et al.
Bioinformatics (Oxford, England)|April 30, 2009
Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip dataMichael Seifert, Jens Keilwagen, Marc Strickert, et al.
BMC Bioinformatics|March 24, 2010
Apples and oranges: avoiding different priors in Bayesian DNA sequence analysisJens Keilwagen, Jan Grau, Stefan Posch, et al.
Pageof 7