Gear-Genomics
Gear-Genomics analyzes Sanger sequencing chromatograms, designs PCR primers, and performs DNA sequence analyses to support variant validation and genome editing confirmation.
Key Features:
- Tracy command-line application: A command-line tool for Sanger sequencing data analysis providing basecalling, alignment, assembly, and deconvolution of chromatogram files.
- Sanger chromatogram analysis: Processing and interpretation of Sanger sequencing traces and chromatogram files for variant detection and sequence validation.
- PCR primer design: PCR primer design capabilities for targeted amplification and validation experiments.
- Pipeline and high-throughput integration: Command-line integration suitable for incorporation into large-scale pipelines and high-throughput workflows.
- Structured output formats: Reporting of sequencing results and variant calls using JSON and BCF file formats.
Scientific Applications:
- Clinical genomics validation: Support for large-scale validation efforts in clinical genomics through Sanger-based confirmation of variants.
- Genome editing confirmation: Rapid confirmation of discovered variants or engineered mutations in genome editing workflows.
- Molecular biology sequence analyses: Detailed DNA sequence analyses for molecular biology investigations relying on Sanger data.
Methodology:
Basecalling, alignment, assembly, and deconvolution of Sanger chromatogram files using the Tracy command-line application with results exported in JSON and BCF for pipeline integration.
Topics
Collections
Details
- License:
- GPL-3.0
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript, C++
- Added:
- 4/20/2020
- Last Updated:
- 7/30/2020
Operations
Publications
Rausch T, Fritz MH, Untergasser A, Benes V. Tracy: basecalling, alignment, assembly and deconvolution of sanger chromatogram trace files. BMC Genomics. 2020;21(1). doi:10.1186/s12864-020-6635-8. PMID:32171249. PMCID:PMC7071639.
Documentation
User manual
https://www.gear-genomics.com/docs/tracy/Links
Repository
https://github.com/gear-genomics