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SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants

SUMMARY: We report Spark-based INFERence of the molecular mechanisms of NOn-coding genetic variants (SparkINFERNO), a scalable bioinformatics pipeline characterizing non-coding genome-wide association study (GWAS) association findings. SparkINFERNO prioritizes causal variants underlying GWAS associa...

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Bibliografische gegevens
Gepubliceerd in:Bioinformatics
Hoofdauteurs: Kuksa, Pavel P, Lee, Chien-Yueh, Amlie-Wolf, Alexandre, Gangadharan, Prabhakaran, Mlynarski, Elizabeth E, Chou, Yi-Fan, Lin, Han-Jen, Issen, Heather, Greenfest-Allen, Emily, Valladares, Otto, Leung, Yuk Yee, Wang, Li-San
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2020
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7320617/
https://ncbi.nlm.nih.gov/pubmed/32330239
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa246
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