Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1755-8794
- 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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Whole-genome bisulfite sequencing in systemic sclerosis provides novel targets to understand disease pathogenesis ; volume:12 ; number:1 ; day:24 ; month:10 ; year:2019 ; pages:1-12 ; date:12.2019
BMC medical genomics ; 12, Heft 1 (24.10.2019), 1-12, 12.2019
- Creator
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Lu, Tianyuan
Klein, Kathleen Oros
Colmegna, Inés
Lora, Maximilien
Greenwood, Celia M. T.
Hudson, Marie
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12920-019-0602-8
- URN
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urn:nbn:de:101:1-2020021708164027723057
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:49 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lu, Tianyuan
- Klein, Kathleen Oros
- Colmegna, Inés
- Lora, Maximilien
- Greenwood, Celia M. T.
- Hudson, Marie
- SpringerLink (Online service)
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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
Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data
Bisulfite-based epityping on pooled genomic DNA provides an accurate estimate of average group DNA methylation
Software updates in the Illumina HiSeq platform affect whole-genome bisulfite sequencing
Whole-genome bisulfite sequencing of goat skins identifies signatures associated with hair cycling
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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
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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
Comparison of whole-genome bisulfite sequencing library preparation strategies identifies sources of biases affecting DNA methylation data