Pergola-web

Pergola-web converts longitudinal behavioral data into genomic-format representations and visualizes them using genome visualization technologies to enable computational analysis of high-throughput behavioral phenotyping.

Key Features:

• Data processing (binning and grouping): Performs binning and grouping operations to organize and summarize longitudinal behavioral datasets.
• Genomic-format conversion: Formats behavioral data into existing genomic formats to enable use of genomic analysis and visualization tools.
• Genome-visualization rendering: Leverages genome visualization technologies to produce interactive visualizations of behavioral datasets across individuals and diverse data types.
• Pergola Python library integration: Utilizes the Pergola Python library for data processing and format conversion workflows.
• Scalability for high-throughput data: Scales to large longitudinal datasets generated by high-throughput behavioral phenotyping platforms.

Scientific Applications:

• Longitudinal behavioral data analysis: Supports organization, summarization, and visualization of time-series behavioral measurements across individuals.
• High-throughput phenotyping: Enables handling and interpretation of large datasets produced by high-throughput behavioral phenotyping platforms.
• Application of genomics tools to behavioral science: Facilitates the application of bioinformatics and genome-visualization techniques to behavioral datasets.

Methodology:

Applies genomics standards to behavioral data processing; formats behavioral data into genomic formats; performs binning and grouping; and uses the Pergola Python library together with genome visualization technologies to render visualizations.