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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604135/
https://www.ncbi.nlm.nih.gov/pubmed/28925997
http://dx.doi.org/10.1038/sdata.2017.125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5604135/
https://www.ncbi.nlm.nih.gov/pubmed/28925997
http://dx.doi.org/10.1038/sdata.2017.125

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