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...

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Bibliografische gegevens
Hoofdauteurs:	Breeze, C, Paul, D, van Dongen, J, Butcher, L, Ambrose, J, Barrett, J, Lowe, R, Rakyan, V, Iotchkova, V, Frontini, M, Downes, K, Ouwehand, W, Laperle, J, Jacques, P, Bourque, G, Bergmann, A, Siebert, R, Vellenga, E, Saeed, S, Matarese, F, Martens, J, Stunnenberg, H, Teschendorff, A, Herrero, J, Birney, E, Dunham, I, Beck, S
Formaat:	Journal article
Taal:	English
Gepubliceerd in:	Elsevier 2016

eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data

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