TraceTrack
TraceTrack performs batch processing and analysis of Sanger sequencing trace chromatograms to align them to reference sequences and identify mutations for sequence validation.
Key Features:
- Batch Processing Capability: Performs batch alignments of multiple Sanger trace chromatogram files against reference sequences to support high-throughput analysis.
- Alignment and Mutation Identification: Aligns trace sequences to reference sequences and identifies mutations for sequence validation and variant detection.
- Chromatogram Visualization: Provides visualization of chromatogram data to support interpretation of sequence integrity and quality.
- Analysis of Trace Data: Conducts analysis of Sanger trace chromatograms to extract sequence-level information for downstream validation.
Scientific Applications:
- Molecular Biology Subcloning: Verification of cloned inserts and identification of insert-level mutations in subcloning workflows.
- Biological Research: Interpretation and validation of sequence data for general biological research applications.
- Medical Investigations: Detection and validation of sequence variants relevant to medical and clinical investigations.
- Drug Discovery Campaigns: Sequence validation and mutation identification during drug discovery projects.
- Industrial Sequence Validation: Use in industrial and pharmaceutical sequence validation workflows for high-throughput sequence confirmation.
Methodology:
Performs batch alignment of Sanger trace chromatograms to reference sequences using computational alignment algorithms and detects mutations, with accompanying analysis and visualization of chromatogram data.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 12/18/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Brazdilova K, Prihoda D, Ton Q, Klock H, Bitton DA. TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing chromatograms. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad083. PMID:37456510. PMCID:PMC10348866.
PMID: 37456510