"SparkINFERNO: a scalable high-throughput pipeline for inferring molecular ..."

Pavel P. Kuksa et al. (2020)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAA246

access: open

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/KuksaLAGMCLIGVL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/KuksaLAGMCLIGVL20
Pavel P. Kuksa, Chien-Yueh Lee, Alexandre Amlie-Wolf, Prabhakaran Gangadharan, Elizabeth E. Mlynarski, Yi-Fan Chou, Han-Jen Lin, Heather Issen, Emily Greenfest-Allen, Otto Valladares, Yuk Yee Leung, Li-San Wang:
SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants. Bioinform. 36(12): 3879-3881 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.