Original Research Open access Published: 7 Feb 2026

Artificial Intelligence: Assisted Automated Annotation and Pattern Detection in Large Phylogenetic Trees

Ivica Letunic, Lars Nielsen, Peer Bork

  • Biobyte solutions GmbH, Bothestr 142, 69126 Heidelberg, Germany.
  • EMBL, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
  • Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany
Received 7 Nov 2025 Revised 16 Jan 2026 Accepted 2 Feb 2026 Published 7 Feb 2026 License CC BY 4.0

Keywords: phylogenetic trees; artificial intelligence; tree annotation; machine learning; comparative genomics; metadata integration; iTOL.

Cite this article

Choose a citation format, then copy it into your reference manager or manuscript.

Letunic, I., Nielsen, L. & Bork, P. Artificial Intelligence: Assisted Automated Annotation and Pattern Detection in Large Phylogenetic Trees. J. Exp. Integr. Med. 14, 11–16 (2026). https://www.jeim.org/articles/2614103