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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Sci Data
Asıl Yazarlar: 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.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group 2017
Konular:
Article
Online Erişim: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
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller