Author

Sarath Kumar Murugan

Karolinska InstitutetORCID 0000-0001-7378-7869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alessio CrippaiD· 1 shared Anastassija Kotsalaynen· 1 shared Bram De LaereiD· 1 shared Fabian MülleriD· 1 shared Henrik GrönbergiD· 1 shared Irem B. GündüziD· 1 shared Johan LindbergiD· 1 shared Karen A. UrtishakiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alessio CrippaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 5, 2026

methylTFR: Computational quantification of transcription factor activity from DNA methylation

Irem B. Gündüz, Regina Nitsch, Sarath Kumar Murugan, Fabian Müller

methylTFR quantifies transcription factor activity from DNA methylation, identifying cell-type-specific regulators and resolving developmental trajectories in immune cells.

DOI 10.64898/2026.09.29.755279

humanDNA methylation

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Genetic & Genomic MedicinemedRxivPreprintMay 4, 2024

Sensitive detection of copy number alterations in samples with low circulating tumor DNA fraction.

Markus Mayrhofer, Rebecka Bergström, Venkatesh Chellappa…·Johan Lindberg

The paper introduces Jumble, an algorithm that improves the sensitivity of detecting copy number alterations in low ctDNA samples, achieving detection limits of 1-2% for amplifications and 4-8% for deletions.

3 citations

whole-genome sequencingstatistical model

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