Correction to: Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1474-760X
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Correction to: Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data ; volume:20 ; number:1 ; day:22 ; month:2 ; year:2019 ; pages:1 ; date:12.2019
Genome biology ; 20, Heft 1 (22.2.2019), 1, 12.2019
- Classification
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Biowissenschaften, Biologie
- Creator
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Olova, Nelly
Krueger, Felix
Andrews, Simon
Oxley, David
Berrens, Rebecca V.
Branco, Miguel R.
Reik, Wolf
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1186/s13059-019-1656-9
- URN
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urn:nbn:de:101:1-2019032020222214119958
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:45 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Olova, Nelly
- Krueger, Felix
- Andrews, Simon
- Oxley, David
- Berrens, Rebecca V.
- Branco, Miguel R.
- Reik, Wolf
- SpringerLink (Online service)
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An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data
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Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling
Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis
epiG: statistical inference and profiling of DNA methylation from whole-genome bisulfite sequencing data
Analysis of DNA methylation profiles during sheep skeletal muscle development using whole-genome bisulfite sequencing
An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data
msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data
Using beta-binomial regression for high-precision differential methylation analysis in multifactor whole-genome bisulfite sequencing experiments
Genome-wide analysis of DNA Methylation profiles on sheep ovaries associated with prolificacy using whole-genome Bisulfite sequencing
Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling
Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis
epiG: statistical inference and profiling of DNA methylation from whole-genome bisulfite sequencing data
Analysis of DNA methylation profiles during sheep skeletal muscle development using whole-genome bisulfite sequencing
An information-theoretic approach to the modeling and analysis of whole-genome bisulfite sequencing data
msPIPE: a pipeline for the analysis and visualization of whole-genome bisulfite sequencing data
BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
Novel insights into systemic sclerosis using a sensitive computational method to analyze whole-genome bisulfite sequencing data
Using beta-binomial regression for high-precision differential methylation analysis in multifactor whole-genome bisulfite sequencing experiments