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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
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Alignoth: portable and interactive visualization of read alignments.

Felix Wiegand1, Felix Mölder1,2, Johannes Köster1

  • 1Bioinformatics and Computational Oncology, Institute for AI in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, Essen 45131, Germany.

Bioinformatics (Oxford, England)
|December 14, 2025
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Summary
This summary is machine-generated.

Alignoth is a new command-line tool that creates portable HTML reports for DNA sequencing alignment pileups. These reports are lightweight, searchable, and exportable to various static formats for easy sharing and integration.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • DNA sequencing generates large datasets requiring efficient analysis.
  • Visualizing read alignment pileups is crucial for genomic data interpretation.
  • Existing tools may lack portability or interactive features for alignment visualization.

Purpose of the Study:

  • To introduce Alignoth, a novel command-line application for generating DNA sequencing alignment reports.
  • To provide a lightweight and portable solution for visualizing read alignment pileups.
  • To enhance the sharing and integration of genomic analysis results.

Main Methods:

  • Developed Alignoth as a command-line application using the Rust programming language.
  • Implemented features for generating self-contained, portable HTML reports.
  • Enabled export functionality to static formats (PNG, SVG, PDF) and JSON.

Main Results:

  • Alignoth produces HTML reports with interactive features like read name search and mapping-quality highlighting.
  • Reports are minimal in storage requirements, facilitating practical sharing.
  • The application supports headless environment generation with post-hoc interactive inspection.

Conclusions:

  • Alignoth offers a practical and efficient method for reporting DNA sequencing alignment pileups.
  • Its portability and export options make it valuable for diverse reporting workflows.
  • The tool enhances accessibility and usability of genomic alignment data visualization.