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The ENCODE Project and Perspectives on Pathways
Author(s) -
Tragante Vinicius,
Moore Jason H.,
Asselbergs Folkert W.
Publication year - 2014
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.21802
Subject(s) - encode , expansive , function (biology) , computational biology , biology , resource (disambiguation) , pathway analysis , gene , metabolic pathway , field (mathematics) , computer science , cognitive science , evolutionary biology , genetics , psychology , computer network , gene expression , compressive strength , materials science , composite material , mathematics , pure mathematics
The recently completed ENCODE project is a new source of information on metabolic activity, unveiling knowledge about evolution and similarities among species, refuting the myth that most DNA is “junk” and has no actual function. With this expansive resource comes a challenge: integrating these new layers of information into our current knowledge of single‐nucleotide polymorphisms and previously described metabolic pathways with the aim of discovering new genes and pathways related to human diseases and traits. Further, we must determine which computational methods will be most useful in this pursuit. In this paper, we speculate over the possible methods that will emerge in this new, challenging field.