The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics
Open accessAbstract
DNA methylation is implicated in a surprising diversity of regulatory, evolutionary processes and diseases in eukaryotes. The introduction of whole-genome bisulfite sequencing has enabled the study of DNA methylation at a single-base resolution, revealing many new aspects of DNA methylation and highlighting the usefulness of methylome data in understanding a variety of genomic phenomena. As the number of publicly available whole-genome bisulfite sequencing studies reaches into the hundreds, reliable and convenient tools for comparing and analyzing methylomes become increasingly important. We present MethPipe, a pipeline for both low and high-level methylome analysis, and MethBase, an accompanying database of annotated methylomes from the public domain. Together these resources enable researchers to extract interesting features from methylomes and compare them with those identified in public methylomes in our database.
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Cites
Human DNA methylomes at base resolution show widespread epigenomic differences
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Cited by
DNA methylation loss in late-replicating domains is linked to mitotic cell division
Zhou, W., Dinh, H. Q., Ramjan, Z., Weisenberger, D. J., Nicolet, C. M., Shen, H., Laird, P. W., & Berman, B. P. (2018) · Nature Genetics · doi:10.1038/s41588-018-0073-4 · Cited by 405
Walter, M., Teissandier, A., Pérez-Palacios, R., & Bourc'his, D. (2016) · eLife · doi:10.7554/elife.11418 · Cited by 303
CpG island hypermethylation mediated by DNMT3A is a consequence of AML progression
Spencer, D. H., Russler-Germain, D. A., Ketkar, S., Helton, N. M., Lamprecht, T. L., Fulton, R. S., Fronick, C. C., O’Laughlin, M., Heath, S. E., Shinawi, M., et al. (2017) · Cell · doi:10.1016/j.cell.2017.01.021 · Cited by 219
TET-mediated DNA demethylation controls gastrulation by regulating Lefty-Nodal signalling
Dai, H.-Q., Wang, B.-A., Yang, L., Chen, J.-J., Zhu, G.-C., Sun, M.-L., Ge, H., Wang, R., Chapman, D. L., Tang, F., et al. (2016) · Nature · doi:10.1038/nature20095 · Cited by 206
Guo, W., Zhu, P., Pellegrini, M., Zhang, M. Q., Wang, X., & Ni, Z. (2018) · Bioinformatics · doi:10.1093/bioinformatics/btx595 · Cited by 198
Metadata
- Authors
- Song, Q., Decato, B., Hong, E. E., Zhou, M., Fang, F., Qu, J., Garvin, T., Kessler, M., Zhou, J., & Smith, A. D.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-12-06
- Volume
- 8
- Issue
- 12
- Pages
- e81148
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2049907774
- Cited by
- 411
- References
- 7
- FWCI
- 6.59
- Type
- journal article
- Language
- en
- Open access
- gold
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- Song, Q., Decato, B., Hong, E. E., Zhou, M., Fang, F., Qu, J., Garvin, T., Kessler, M., Zhou, J., & Smith, A. D. (2013). A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics. PLoS ONE. https://doi.org/10.1371/journal.pone.0081148
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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