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Tommy Kaplan

Showing results (1-10 of 71) with videos related to

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Epigenetics & Chromatin|July 6, 2017
Genome-wide search for Zelda-like chromatin signatures identifies GAF as a pioneer factor in early fly developmentArbel Moshe, Tommy Kaplan
Nature|April 14, 2012
Gene expression: Running to stand stillTommy Kaplan, Nir Friedman
Methods in Cell Biology|April 10, 2012
Quantitative models of the mechanisms that control genome-wide patterns of animal transcription factor bindingTommy Kaplan, Mark D Biggin
Plos Computational Biology|August 17, 2005
Ab initio prediction of transcription factor targets using structural knowledgeTommy Kaplan, Nir Friedman, Hanah Margalit
BMC Medical Genomics|February 21, 2023
Predicting gene knockout effects from expression dataJonathan Rosenski, Sagiv Shifman, Tommy Kaplan
Life Science Alliance|January 29, 2026
<i>wgbstools</i>: a computational suite for DNA methylation sequencing data analysisNetanel Loyfer, Jonathan Rosenski, Tommy Kaplan
Proceedings of the National Academy of Sciences of the United States of America|February 15, 2017
Contribution of epigenetic mechanisms to variation in cancer risk among tissuesMichael Klutstein, Joshua Moss, Tommy Kaplan, et al.
Bioinformatics (Oxford, England)|July 1, 2008
Nucleosome positioning from tiling microarray dataMoran Yassour, Tommy Kaplan, Ariel Jaimovich, et al.
Nature Communications|December 23, 2017
Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domainsGil Ron, Yuval Globerson, Dror Moran, et al.
Plos Computational Biology|May 9, 2008
A novel Bayesian DNA motif comparison method for clustering and retrievalNaomi Habib, Tommy Kaplan, Hanah Margalit, et al.
Pageof 8

Showing results (1-10 of 71) with videos related to

Sort By:
Pageof 8
Epigenetics & Chromatin|July 6, 2017
Genome-wide search for Zelda-like chromatin signatures identifies GAF as a pioneer factor in early fly developmentArbel Moshe, Tommy Kaplan
Nature|April 14, 2012
Gene expression: Running to stand stillTommy Kaplan, Nir Friedman
Methods in Cell Biology|April 10, 2012
Quantitative models of the mechanisms that control genome-wide patterns of animal transcription factor bindingTommy Kaplan, Mark D Biggin
Plos Computational Biology|August 17, 2005
Ab initio prediction of transcription factor targets using structural knowledgeTommy Kaplan, Nir Friedman, Hanah Margalit
BMC Medical Genomics|February 21, 2023
Predicting gene knockout effects from expression dataJonathan Rosenski, Sagiv Shifman, Tommy Kaplan
Life Science Alliance|January 29, 2026
<i>wgbstools</i>: a computational suite for DNA methylation sequencing data analysisNetanel Loyfer, Jonathan Rosenski, Tommy Kaplan
Proceedings of the National Academy of Sciences of the United States of America|February 15, 2017
Contribution of epigenetic mechanisms to variation in cancer risk among tissuesMichael Klutstein, Joshua Moss, Tommy Kaplan, et al.
Bioinformatics (Oxford, England)|July 1, 2008
Nucleosome positioning from tiling microarray dataMoran Yassour, Tommy Kaplan, Ariel Jaimovich, et al.
Nature Communications|December 23, 2017
Promoter-enhancer interactions identified from Hi-C data using probabilistic models and hierarchical topological domainsGil Ron, Yuval Globerson, Dror Moran, et al.
Plos Computational Biology|May 9, 2008
A novel Bayesian DNA motif comparison method for clustering and retrievalNaomi Habib, Tommy Kaplan, Hanah Margalit, et al.
Pageof 8