GeeFu

GeeFu manages and stores draft genome assemblies and associated genomic feature annotations to support versioned assembly tracking, visualization, and programmatic access for analyses of short-read assembly data.


Key Features:

  • Data Management: Stores and tracks multiple versions of genomic assemblies and associated feature annotations in a centralized feature database.
  • Assembly Support: Handles draft genome assemblies produced by short-read assembly methods.
  • Visualization Tools: Integrates AnnoJ for interactive visualization of genomic feature data.
  • Data Access and Sharing: Provides a web-service interface and an API accessible via Ruby scripts and supports feature data stored in BAM files.
  • Collaborative Platform: Facilitates sharing of genomic assemblies and annotations among researchers for coordinated analysis.
  • Implementation: Implemented using Ruby on Rails as the underlying application framework.

Scientific Applications:

  • Gene Prediction: Supports management and review of assemblies and annotations used in gene prediction workflows.
  • Comparative Genomics: Enables storage and comparison of multiple assembly versions and feature annotations for comparative analyses.
  • PCR Primer Design: Provides annotated assembly data useful for designing PCR primers and other molecular biology assays.

Methodology:

Operates on a feature database implemented in Ruby on Rails, exposes a web-service API and direct Ruby script access, integrates AnnoJ for visualization, supports feature data in BAM files, and stores multiple versions of draft genome assemblies produced by short-read assembly methods.

Topics

Details

Tool Type:
web application
Operating Systems:
Mac
Programming Languages:
Ruby
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Ramirez-Gonzalez R, Caccamo M, MacLean D. Gee Fu: a sequence version and web-services database tool for genomic assembly, genome feature and NGS data. Bioinformatics. 2011;27(19):2754-2755. doi:10.1093/bioinformatics/btr442. PMID:21803806.

Documentation