TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing...

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Sanger sequencing remains crucial for molecular biology, subcloning, and drug discovery despite advancements in next-generation sequencing.
• Current software for Sanger trace file analysis lacks functionality, scalability, and commercial availability.

Purpose of the Study:

• To develop an open-source web application for processing and visualizing Sanger trace files.
• To address the limitations of existing software for Sanger sequencing data analysis.

Main Methods:

• Development of TraceTrack, a web application for batch alignment, analysis, and visualization of Sanger trace files.
• High-throughput matching of trace files to reference sequences.
• Rapid identification of mutations and intuitive chromatogram analysis.

Main Results:

• TraceTrack provides efficient batch processing, advanced visualization, and robust export functionalities for Sanger trace files.
• Comparative analysis demonstrates TraceTrack's superiority over existing tools in key areas.
• The tool facilitates high-throughput analysis and mutation identification.

Conclusions:

• TraceTrack is a valuable open-source tool for the batch processing and visualization of Sanger trace file chromatograms.
• It meets the demands of industrial sequence validation in pharmaceutical settings.
• TraceTrack enhances efficiency and accuracy in Sanger sequencing data analysis.