News

04/19/2021: 1000 Genomes phase 3 data (5 super-populations) is now used

12/17/2020: INFERNO pipeline paper has been published Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations

06/15/2020: Apache Spark-based INFERNO (SparkINFERNO) paper has been published SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants

08/29/2018: INFERNO has been highlighted in GenomeWeb! https://www.genomeweb.com/scan/week-nucleic-acids-research-47

08/27/2018: Our preprint applying INFERNO to Alzheimer's Disease data is now available! https://www.biorxiv.org/content/early/2018/08/27/401471

08/03/2018: INFERNO has been published in Nucleic Acids Research! https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky686/5064786

Web submission has been retired

The INFERNO job-submission form on this site has been switched off. Running analyses on the web is moving to Inferno Blaze. To run INFERNO on your own variants today, use the open-source containerized pipeline: github.com/wanglab-upenn/inferno-containerized. The documentation, example outputs, and downloads on this site remain available.

IMPORTANT:

INFERNO analysis typically takes around 15 minutes. but may take up to a few hours given large inputs! Please refer to this benchmarking plot to get a rough estimate of how long your input might take. If you close your browser before that, you can access your results once they're done at http://inferno.lisanwanglab.org/user_data/ID/ if you replace ID with the identifier for your run.

Or, view processed plot outputs for the default GWASs: