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PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets

BACKGROUND: With the growth of available sequenced datasets, analysis of heterogeneous processed data can answer increasingly relevant biological and clinical questions. Scientists are challenged in performing efficient and reproducible data extraction and analysis pipelines over heterogeneously pro...

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Detalles Bibliográficos
Publicado en:BMC Bioinformatics
Main Authors: Nanni, Luca, Pinoli, Pietro, Canakoglu, Arif, Ceri, Stefano
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2019
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6842186/
https://ncbi.nlm.nih.gov/pubmed/31703553
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3159-9
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