Author

Gideon Zipprich

German Cancer Research Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anupam N. SinhaiD· 2 shared Barbara HutteriD· 2 shared Bärbel Felder· 2 shared Benedikt BrorsiD· 2 shared Fatemeh Behjati ArdakaniiD· 2 shared Gilles GasparoniiD· 2 shared Jörn WalteriD· 2 shared Jürgen Eils· 2 shared

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2016-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Anupam N. SinhaORCID

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2 papers

Recent·Most cited

GenomicsEpigenetics & ChromatinPeer-reviewedNov 9, 2018

Integrative analysis of single cell expression data reveals distinct regulatory states in bidirectional promoters

Fatemeh Behjati Ardakani, Kathrin Kattler, Karl J. V. Nordström…·Marcel H. Schulz

The paper integrates single cell RNA-seq with bulk epigenomic data to identify distinct regulatory states in bidirectional promoters and their associations with structural features and TF binding.

7 citations

humanscRNA-seq

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BioinformaticsNucleic Acids ResearchPeer-reviewedOct 24, 2016

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

Florian Schmidt, Nina Gasparoni, Gilles Gasparoni…·Marcel H. Schulz

This paper introduces TEPIC, a method that combines open-chromatin data with TF binding affinities to predict gene expression, achieving results comparable to TF ChIP-seq.

125 citationstop 2%

humanChIP-seq

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