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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Bibliographic Details
Published in:Sci Data
Main Authors: 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
Language:Inglês
Published: Nature Publishing Group 2017
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Online Access: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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