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SparkINFERNO: A scalable high-throughput pipeline for inf... | ResearchHub
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SparkINFERNO: A scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants
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Authors
Pavel Kuksa
13 more
Pavel Kuksa
•
Yuk Leung
11 more
•
Li-San Wang
Published
January 8, 2020
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Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Artificial Intelligence
Genome-Wide Association Study
Show all topics
DOI
10.1101/2020.01.07.897579
License
CC-BY-NC
Other Formats
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Bioinformatics
Computer Science
Artificial Intelligence
Genome-Wide Association Study
Show all topics
DOI
10.1101/2020.01.07.897579
License
CC-BY-NC
Other Formats
PDF
