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.

Links