Author

Michelle M. Kudron

Yale University

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Genomics· 2

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Assay:ChIP-seq· 2 Organism:Drosophila· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Alec VictorseniD· 2 shared Jiahao GaoiD· 2 shared Jinrui XuiD· 2 shared Kevin P. WhiteiD· 2 shared Louis GevirtzmaniD· 2 shared Mark GersteiniD· 2 shared R WaterstoniD· 2 shared V ReinkeiD· 2 shared

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2020-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Alec VictorsenORCID

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2 papers

Recent·Most cited

Binding profiles for 954 Drosophila and C. elegans transcription factors revealtissue specific regulatory relationships

Michelle M. Kudron, Louis Gevirtzman, Alec Victorsen, Bridget C. Lear, Jiahao Gao, Jinrui Xu, Swapna Samanta, Emily Frink, Adri Tran-Pearson, Chau Huynh, Dionne K. Vafeados, Ann S. Hammonds, William F. Fisher, Martha Wall, Greg Wesseling, , R Waterston

The paper presents a catalog of transcription factor binding sites in Drosophila and C. elegans, revealing tissue-specific regulatory relationships using machine learning.

bioRxiv · Jan 18, 2024 · PreprintGenomics

To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq

Jinrui Xu, Michelle M. Kudron, Alec Victorsen, Jiahao Gao, Haneen Ammouri, Fábio C. P. Navarro, Louis Gevirtzman, R Waterston, Kevin P. White, V Reinke, Mark Gerstein

This study compares mock IP and DNA input controls in ChIP-seq, showing that mock IP better removes spurious sites, while DNA input has unique advantages, and proposes combining both for improved binding site detection.

Nucleic Acids Research · Dec 18, 2020Peer-reviewedGenomics