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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095171/
https://www.ncbi.nlm.nih.gov/pubmed/27782110
http://dx.doi.org/10.1038/ncomms13091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095171/
https://www.ncbi.nlm.nih.gov/pubmed/27782110
http://dx.doi.org/10.1038/ncomms13091

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