Precision annotation of digital samples in NCBI’s gene expression omnibus

The Gene Expression Omnibus (GEO) contains more than two million digital samples from functional genomics experiments amassed over almost two decades. However, individual sample meta-data remains poorly described by unstructured free text attributes preventing its largescale reanalysis. We introduce...

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Publicat a:Sci Data
Autors principals: Hadley, Dexter, Pan, James, El-Sayed, Osama, Aljabban, Jihad, Aljabban, Imad, Azad, Tej D., Hadied, Mohamad O., Raza, Shuaib, Rayikanti, Benjamin Abhishek, Chen, Bin, Paik, Hyojung, Aran, Dvir, Spatz, Jordan, Himmelstein, Daniel, Panahiazar, Maryam, Bhattacharya, Sanchita, Sirota, Marina, Musen, Mark A., Butte, Atul J.
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group 2017
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5604135/
https://ncbi.nlm.nih.gov/pubmed/28925997
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sdata.2017.125
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