Author

Kathrin Gianmoena

Leibniz Research Centre for Working Environment and Human FactorsORCID 0000-0003-0957-0379Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Anupam N. SinhaiD· 2 shared Cristina CadenasiD· 2 shared Gilles GasparoniiD· 2 shared Jan Georg HengstleriD· 2 shared Jörn WalteriD· 2 shared Philip C RosenstieliD· 2 shared Alf HamanniD· 1 shared Azim Dehghani Amirabad· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anupam N. SinhaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 25, 2016

normR: Regime enrichment calling for ChIP-seq data

Johannes Helmuth, Na Li, Laura Arrigoni…·Ho‐Ryun Chung

normR normalizes ChIP-seq data to improve enrichment calling in different histone modification regimes.

15 citations

humanChIP-seq

𝕏 PostBluesky

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

𝕏 PostBluesky