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

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...

詳細記述

書誌詳細
主要な著者: 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
フォーマット: Journal article
言語:English
出版事項: Elsevier 2016

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