Multi-omic data integration enables discovery of hidden biological regularities

Rapid growth in size and complexity of biological data sets has led to the ‘Big Data to Knowledge' challenge. We develop advanced data integration methods for multi-level analysis of genomic, transcriptomic, ribosomal profiling, proteomic and fluxomic data. First, we show that pairwise integrat...

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Detaylı Bibliyografya
Yayımlandı:Nat Commun
Asıl Yazarlar: Ebrahim, Ali, Brunk, Elizabeth, Tan, Justin, O'Brien, Edward J., Kim, Donghyuk, Szubin, Richard, Lerman, Joshua A., Lechner, Anna, Sastry, Anand, Bordbar, Aarash, Feist, Adam M., Palsson, Bernhard O.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group 2016
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5095171/
https://ncbi.nlm.nih.gov/pubmed/27782110
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms13091
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