UTGB Toolkit

UTGB Toolkit enables creation of personalized genome browsers for local storage and interactive exploration of large-scale genomic datasets generated by high-throughput DNA sequencing technologies, including nucleotide sequences produced at throughput levels exceeding traditional Sanger sequencing.


Key Features:

  • Personalized genome browser creation: Components to construct customizable genome browsers tailored to project-specific genomic data.
  • Local data storage and browsing: Support for storing and browsing large-scale genomic datasets and nucleotide sequences on local systems.
  • Interactive exploration: Interactive inspection and exploration of genomic features and sequence data.
  • High-throughput sequencing support: Handles nucleotide sequence volumes generated by high-throughput DNA sequencing technologies that surpass traditional Sanger sequencing throughput.
  • Management and analysis of large datasets: Facilitates organization and analysis of extensive nucleotide sequence collections.

Scientific Applications:

  • Local analysis of sequencing data: Exploration and analysis of large-scale genomic datasets produced by high-throughput DNA sequencing technologies.
  • Project-specific visualization: Creation of customized genome views for interpretation of genomic features and nucleotide sequences.
  • Data management for sequencing projects: Organization and handling of large volumes of nucleotide sequence information for downstream analysis.

Methodology:

Implements software components for creating personalized genome browsers, local storage of genomic data, and interactive browsing of genomic datasets.

Topics

Details

License:
Apache-2.0
Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
12/18/2017
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Publications

Saito TL, Yoshimura J, Sasaki S, Ahsan B, Sasaki A, Kuroshu R, Morishita S. UTGB toolkit for personalized genome browsers. Bioinformatics. 2009;25(15):1856-1861. doi:10.1093/bioinformatics/btp350. PMID:19497937. PMCID:PMC2712345.

Documentation

Links