Epiviz Feed

Epiviz Feed provides proactive server-side computations and notification-based summarization to enhance exploration and interpretation of genomic datasets and hypothesis testing.


Key Features:

  • Proactive data analysis: Leverages server-side computations to automate initial analysis steps and identify results of interest.
  • Notification feed of results: Presents proactively identified results as notifications integrated with the Epiviz environment.
  • Summarization of hypothesis tests: Summarizes outcomes of hypothesis tests to enable rapid assessment of findings.
  • Filtering and grouping: Supports filtering and grouping of analysis results to facilitate search and exploration within large genomic datasets.

Scientific Applications:

  • Integrative genomics: Combines visualization and computational methods within Epiviz for integrative analysis of genomic data.
  • Hypothesis-driven exploration: Surfaces and summarizes statistically meaningful results to support hypothesis testing and interpretation of genomic datasets.

Methodology:

Integration of Epiviz visualization with server-side computations and statistical frameworks to proactively identify and summarize significant results.

Topics

Details

Tool Type:
desktop application
Programming Languages:
Python
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Cui Z, Kancherla J, Chang KW, Elmqvist N, Corrada Bravo H. Proactive visual and statistical analysis of genomic data in Epiviz. Bioinformatics. 2019;36(7):2195-2201. doi:10.1093/bioinformatics/btz883. PMID:31782758. PMCID:PMC7868663.

PMID: 31782758
PMCID: PMC7868663
Funding: - US National Institutes of Health: R01GM114267

Links