A (fire)cloud-based DNA methylation data preprocessing and quality control platform

Background Bisulfite sequencing allows base-pair resolution profiling of DNA methylation and has recently been adapted for use in single-cells. Analyzing these data, including making comparisons with existing data, remains challenging due to the scale of the data and differences in preprocessing met...

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Veröffentlicht in:	BMC bioinformatics Jg. 20; H. 1; S. 160 - 5
Hauptverfasser:	Kangeyan, Divy, Dunford, Andrew, Iyer, Sowmya, Stewart, Chip, Hanna, Megan, Getz, Gad, Aryee, Martin J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.03.2019 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Algorithms Analysis and modelling of complex systems Base sequence Bioinformatics Bioinformatics workflows Biomedical and Life Sciences Bisulfite Cancer Cloud computing Computational biology Computational Biology/Bioinformatics Computer Appl. in Life Sciences Containers CpG islands Criminal investigation Data processing Datasets Deoxyribonucleic acid DNA DNA fingerprinting DNA methylation DNA sequencing Epigenetics Gene expression Genetic research Genomes Genomics Integration Life Sciences Methods Methylation Microarrays Pipelines Pipelining (computers) Preprocessing Quality control Quality control analysis Reproducibility Software Sulfites Visualization (Computer) Workflow Workflow software United States DNA methylation Cloud computing Bioinformatics workflows Quality control analysis
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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