Author

Nihit Aggarwal

Saarland UniversityORCID 0000-0003-4875-8219Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Assay:DNA methylation· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Abdulrahman SalhabiD· 3 shared Johanna Elena SchmitziD· 2 shared Jörn WalteriD· 2 shared Lukas LauferiD· 2 shared Sven RahmanniD· 2 shared Adriana Redensek· 1 shared Akshita Puri· 1 shared Alec R. ChapmaniD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Abdulrahman SalhabORCID

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3 papers

Recent·Most cited

EpiATLAS - a reference for human epigenomic research

Quirin Manz, Misha Bilenky, Dennis Hecker, Nihit Aggarwal, Juliana Estefania Arcila-Galvis, Shamim Ashrafiyan, Nina Baumgarten, Fatemeh Behjati Ardakani, Paulo R. Branco Lins, Charles E. Breeze, David Brownlee, David Bujold, Alec R. Chapman, Savio Ho-Chit Chow, Tevfik Umut Dincer, , Samuel A. J. R. Aparicio

EpiATLAS provides a comprehensive collection of human reference epigenomes to advance epigenomic research and understanding of cellular function and disease.

bioRxiv · Jun 26, 2026 · PreprintGenomics

Integrated flexible DNA methylation-chromatin segmentation modeling enhances epigenomic state annotation

Nihit Aggarwal, Johanna Elena Schmitz, Lukas Laufer, Sven Rahmann, Jörn Walter, Abdulrahman Salhab

ESMM improves epigenomic state annotation by integrating DNA methylation and chromatin marks, enhancing the detection of heterochromatic regions and regulatory element boundaries.

Nucleic Acids Research · Jun 2, 2026Peer-reviewedBioinformatics

EpiSegMix: A Flexible Distribution Hidden Markov Model with Duration Modeling for Chromatin State Discovery

Johanna Elena Schmitz, Nihit Aggarwal, Lukas Laufer, Jörn Walter, Abdulrahman Salhab, Sven Rahmann

EpiSegMix improves chromatin state segmentation by using a flexible hidden Markov model with duration modeling, outperforming existing tools in predicting gene expression.

Bioinformatics · Mar 29, 2024Peer-reviewedBioinformatics