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eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data
Epigenome-wide association studies (EWAS) provide an alternative approach for studying human disease through consideration of non-genetic variants such as altered DNA methylation. To advance the complex interpretation of EWAS, we developed eFORGE (http://eforge.cs.ucl.ac.uk/), a new standalone and w...
Autores principales: | Breeze, Charles E., Paul, Dirk S., van Dongen, Jenny, Butcher, Lee M., Ambrose, John C., Barrett, James E., Lowe, Robert, Rakyan, Vardhman K., Iotchkova, Valentina, Frontini, Mattia, Downes, Kate, Ouwehand, Willem H., Laperle, Jonathan, Jacques, Pierre-Étienne, Bourque, Guillaume, Bergmann, Anke K., Siebert, Reiner, Vellenga, Edo, Saeed, Sadia, Matarese, Filomena, Martens, Joost H.A., Stunnenberg, Hendrik G., Teschendorff, Andrew E., Herrero, Javier, Birney, Ewan, Dunham, Ian, Beck, Stephan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120369/ https://www.ncbi.nlm.nih.gov/pubmed/27851974 http://dx.doi.org/10.1016/j.celrep.2016.10.059 |
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