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.