biopyramid
biopyramid provides a Python-based scaffold for building web applications to explore and share gene expression and other 'omics' datasets.
Key Features:
- Gene Annotation: Enriches datasets with gene annotation metadata for downstream analysis.
- Dataset Models: Includes pre-built dataset models to integrate and manage diverse 'omics' data types.
- Visualization Tools: Provides visualization components for interactive graphical representation of gene expression data.
- Data Sharing and Interactive Analyses: Supports serving transformed datasets and interactive analyses for collaborative exploration.
- Scalability: Built on the Python Pyramid framework to support scalable deployment for larger datasets and more complex applications.
Scientific Applications:
- Exploratory analysis of gene expression: Enables interactive exploration and visualization of gene expression datasets for hypothesis generation and data interpretation.
- Integration and dissemination of 'omics' data: Facilitates integration of diverse 'omics' data types and dissemination via web applications for collaborative analysis.
Methodology:
Built on the Python Pyramid framework and implemented with pre-built dataset models, gene annotation modules, visualization components, and Python and JavaScript components.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- JavaScript, Python
- Added:
- 6/2/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Stephenson L, Wakeham Y, Seidenman N, Choi J. Building online genomics applications using BioPyramid. Bioinformatics. 2018;34(17):3055-3057. doi:10.1093/bioinformatics/bty207. PMID:29617932.
PMID: 29617932