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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 no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | 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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