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Alignment-Annotator web server: rendering and annotating sequence alignments.

Christoph Gille1, Michael Fähling2, Birgit Weyand3

  • 1Department of Biochemistry, Charité, University Medicine Berlin, Charitéplatz 1, 10117 Berlin, Germany christoph.gille@charite.de.

Nucleic Acids Research
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Summary
This summary is machine-generated.

Alignment-Annotator is a new web service for interactive sequence alignment visualization. It allows users to view and edit nucleotide and amino acid alignments in any web browser without plugins.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics
  • Proteomics

Background:

  • Sequence alignments are fundamental in bioinformatics.
  • Existing visualization tools often require specific software or plugins.
  • There is a need for accessible, interactive alignment viewers.

Purpose of the Study:

  • To introduce Alignment-Annotator, a novel web service for visualizing sequence alignments.
  • To provide an interactive and platform-independent alignment viewing experience.
  • To enable de novo alignment generation and integration into other software.

Main Methods:

  • Server-side computation for all processing.
  • HTML5 for native browser interactivity.
  • Graphical user interfaces for modification (reordering, deletion, color schemes).
  • Manual and imported annotation capabilities (BioDAS, UniProt, CSA, PDB).

Main Results:

  • Alignment-Annotator generates interactive, annotated nucleotide and amino acid sequence alignments.
  • The service is accessible via any standard web browser on any platform (Windows, Mac OS X, Linux, Android, iOS).
  • No plugins or Java are required, making it universally accessible.
  • Interactive alignments can be downloaded as HTML files within a zip archive.

Conclusions:

  • Alignment-Annotator is the first interactive browser-based alignment visualization tool.
  • It offers a user-friendly, accessible, and versatile solution for sequence alignment analysis.
  • The web service enhances collaborative research and data sharing in molecular biology.