Author

Sarah Kinkley

Max Planck Institute for Molecular GeneticsORCID 0000-0003-4997-4749Unclaimed 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 Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Martin VingroniD· 2 shared Alexandra K. KiemeriD· 1 shared Alisa FuchsiD· 1 shared Anja Römer-Hillmann· 1 shared Anna RamischiD· 1 shared Beate Czepukojc· 1 shared Cristina CadenasiD· 1 shared Ho-Ryun Chung· 1 shared

Activity by Year

2014-2019 · peak 1/yr

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10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Martin VingronORCID

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2 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedNov 7, 2019

CRUP: A comprehensive framework to predict condition-specific regulatory units

Anna Ramisch, Verena Heinrich, Laura V. Glaser…·Martin Vingron

CRUP predicts condition-specific regulatory units by analyzing histone modification ChIP-seq data and linking enhancers to target genes in rheumatoid arthritis.

32 citations

humanChIP-seq

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BioinformaticsNucleic Acids ResearchPeer-reviewedNov 20, 2014

Inference of interactions between chromatin modifiers and histone modifications: from ChIP-Seq data to chromatin-signaling

Juliane Perner, Julia Lasserre, Sarah Kinkley…·Ho-Ryun Chung

The paper infers interactions between chromatin modifiers and histone modifications from ChIP-Seq data, identifying known and novel interactions that contribute to understanding chromatin-signaling networks.

DOI 10.1093/nar/gku1234

ChIP-seqstatistical model

𝕏 PostBluesky