Scikick

Scikick orchestrates Jupyter notebook–based computational workflows to document analysis steps, track interdependencies, and compile reproducible reports for bioinformatics analyses such as genomics and proteomics.

Key Features:

• Workflow configuration with notebooks: Scikick treats Jupyter notebooks as executable units for code, data manipulation, and results documentation.
• Standardized project structure: It defines a consistent layout for organizing files and code across projects.
• Automatic tracking of interdependencies: The system detects and manages dependencies between analysis steps to propagate changes correctly.
• Comprehensive reporting: Scikick compiles analysis outputs from notebooks into cohesive final reports.

Scientific Applications:

• Genomics: Facilitates reproducible workflows for genomics data analysis using notebook-based steps.
• Proteomics: Supports proteomics analyses by documenting code, data transformations, and results across dependent steps.
• Bioinformatics reproducible research: Enables transparent and replicable computational analyses across bioinformatics studies.

Methodology:

Scikick integrates Jupyter notebooks as executable units, automatically tracks and manages dependencies between notebook-based analysis steps, and assembles outputs into structured project reports.