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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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| Publicado en: | BMC Bioinformatics |
|---|---|
| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | 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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