RiboChat

RiboChat analyzes ribosome profiling (Ribo-seq) data to extract translation-related information and to select appropriate computational analytics modules for downstream interpretation.

Key Features:

• Object-Text Detection Module: Identifies relevant keywords from user-provided queries to extract analysis requirements.
• Analytics Module Scoring System: Scores identified features to determine the most suitable analytics modules for execution.
• Cloud-Computing Backend Service: Performs data processing and stores Ribo-seq datasets to support large-scale analyses.
• Automated Workflow Management: Verifies completion status of dataset uploads and parameter configurations before executing analytics modules.
• Ribo-seq Data Support: Processes ribosome profiling (Ribo-seq) inputs to enable extraction of translation information.

Scientific Applications:

• Decoding translation information: Extracts translation signals embedded within Ribo-seq datasets for downstream analysis.
• Gene expression studies: Supports analysis of translation-level gene expression derived from ribosome profiling.
• Translational regulation analysis: Facilitates identification of translational regulation patterns using Ribo-seq data.
• Exploration of novel translation mechanisms: Enables investigation of noncanonical or previously uncharacterized translation events from Ribo-seq datasets.

Methodology:

An object-text detection module extracts keywords from queries, a scoring system selects analytics modules, an automated workflow manager verifies dataset uploads and parameter configurations, and a cloud-computing backend executes analyses and stores Ribo-seq data.