Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data

Fischer, Jonas; Schulz, Marcel Holger

doi:10.1093/bioinformatics/btad386

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Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data

Fischer, J., & Schulz, M. H. (2023). Efficiently quantifying DNA methylation for bulk- and single-cell bisulfite data. Bioinformatics, 39(6): btad386. doi:10.1093/bioinformatics/btad386.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-6C74-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-6C75-7

Genre: Journal Article

Latex : Efficiently quantifying {DNA} methylation for bulk- and single-cell bisulfite data

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Creators:
Fischer, Jonas¹, Author
Schulz, Marcel Holger², Author

Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2023

Publication Status: Published online

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Identifiers: BibTex Citekey: Fischer23
DOI: 10.1093/bioinformatics/btad386
PMC: PMC10310462
PMID: 37326968

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Title: Bioinformatics

Source Genre: Journal

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Publ. Info: Oxford : Oxford University Press

Pages: - Volume / Issue: 39 (6) Sequence Number: btad386 Start / End Page: - Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991