Cellmissy

Cellmissy manages and stores quantitative data from high-throughput cell migration experiments, with emphasis on wound healing assays, to support standardized analysis and meta-analysis.

Key Features:

• Data Management and Storage: Centralizes organization and storage of large volumes of quantitative experimental data from cell migration assays.
• Automated Data Processing: Automates data handling from initial experimental setup through advanced data exploration and minimizes manual data transfer between analysis steps.
• Quality Control and Analysis Integration: Incorporates quality-control measures and integrates analysis workflows so only quality-checked data proceed to downstream analyses.
• Data Standardization and Meta-Analysis: Enforces standardized data formatting to facilitate cross-experiment comparisons and meta-analyses.
• Public Data Dissemination: Supports structured dissemination of datasets in standardized formats for public sharing.

Scientific Applications:

• High-throughput cell migration studies: Manages and organizes large-scale datasets generated in high-throughput cell migration experiments.
• Wound healing assays: Handles quantitative data from wound healing assays to study cellular behaviors relevant to tissue repair and regeneration.
• Comparative analysis and reproducibility: Enables cross-experiment comparison and meta-analysis to improve reproducibility of cell migration research.

Methodology:

Implemented in Java as a cross-platform application, released under the Apache2 license, and implementing automated data-processing workflows with integrated quality-control mechanisms.