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Web-based analysis of (Epi-) genome data using EpiGRAPH and Galaxy.
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EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data.
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Using Galaxy to Perform Large-Scale Interactive Data Analyses-An Update.
Curr Protoc. 2021 Feb;1(2):e31. doi: 10.1002/cpz1.31.
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Analyzing epigenome data in context of genome evolution and human diseases.
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Galaxy: a web-based genome analysis tool for experimentalists.
Curr Protoc Mol Biol. 2010 Jan;Chapter 19:Unit 19.10.1-21. doi: 10.1002/0471142727.mb1910s89.
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Web-based visual analysis for high-throughput genomics.
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Using Galaxy to perform large-scale interactive data analyses.
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GsmPlot: a web server to visualize epigenome data in NCBI.
BMC Bioinformatics. 2020 Feb 12;21(1):55. doi: 10.1186/s12859-020-3386-0.
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Galaxy HiCExplorer: a web server for reproducible Hi-C data analysis, quality control and visualization.
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MGEScan: a Galaxy-based system for identifying retrotransposons in genomes.
Bioinformatics. 2016 Aug 15;32(16):2502-4. doi: 10.1093/bioinformatics/btw157. Epub 2016 Apr 7.

引用本文的文献

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Exploratory analysis of genomic segmentations with Segtools.
BMC Bioinformatics. 2011 Oct 26;12:415. doi: 10.1186/1471-2105-12-415.
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Integrating diverse databases into an unified analysis framework: a Galaxy approach.
Database (Oxford). 2011 Apr 29;2011:bar011. doi: 10.1093/database/bar011. Print 2011.
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Next generation sequencing based approaches to epigenomics.
Brief Funct Genomics. 2010 Dec;9(5-6):455-65. doi: 10.1093/bfgp/elq035.
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Putting epigenome comparison into practice.
Nat Biotechnol. 2010 Oct;28(10):1053-6. doi: 10.1038/nbt1010-1053.

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DNA methylation analysis of chromosome 21 gene promoters at single base pair and single allele resolution.
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EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data.
Genome Biol. 2009 Feb 10;10(2):R14. doi: 10.1186/gb-2009-10-2-r14.
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Genome-scale DNA methylation maps of pluripotent and differentiated cells.
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QUMA: quantification tool for methylation analysis.
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Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping.
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Systematic evaluation of variability in ChIP-chip experiments using predefined DNA targets.
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Genome-wide approaches to studying chromatin modifications.
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