Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

DNA-based watermarks using the DNA-Crypt algorithm.

Dominik Heider1, Angelika Barnekow

  • 1Department of Experimental Tumorbiology, University of Muenster, Muenster, Germany. dominik.heider@uni-muenster.de <dominik.heider@uni-muenster.de>

BMC Bioinformatics
|May 31, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical, Dietary, Lifestyle and Genetic Factors Associated With Age at Onset of Esophageal Adenocarcinoma.

United European gastroenterology journal·2026
Same author

Generalization of ML Models Between ECG and VCG Representation.

Studies in health technology and informatics·2026
Same author

DicomShield: A Pseudonymization Proxy for the Secondary Use of Imaging Data in the Research Context.

Studies in health technology and informatics·2026
Same author

Harnessing generative AI for predicting and optimizing antimicrobial peptides against drug-resistant infections.

npj antimicrobials and resistance·2026
Same author

dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

MedChat: a fully offline multimodal AI system for privacy-preserving clinical anamnesis.

Frontiers in artificial intelligence·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

This study introduces DNA-Crypt, a novel method for embedding invisible watermarks in DNA to detect unauthorized use of genetically modified organisms (GMOs). The system corrects mutations, ensuring watermark integrity within living organisms.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Molecular Biology

Background:

  • Unauthorized use of genetically modified organisms (GMOs) poses challenges for patent enforcement.
  • Existing DNA-based authentication methods using synthetic sequences may alter target DNA in living organisms.

Purpose of the Study:

  • To demonstrate DNA-based watermarking for identifying unauthorized GMO use.
  • To develop a method for embedding and protecting watermarks within living organisms' DNA.

Main Methods:

  • Application of the DNA-Crypt algorithm for embedding watermarks in DNA sequences.
  • Utilizing mutation correction codes (e.g., Hamming-code, WDH-code) and a fuzzy controller to maintain watermark integrity.
  • In silico experiments on Saccharomyces cerevisiae to assess watermark impact on biological processes.

Related Experiment Videos

Main Results:

  • DNA-Crypt embeds watermarks using a principle similar to image steganography (least significant base).
  • The algorithm successfully corrects DNA mutations, preserving encrypted information.
  • In silico tests confirmed that DNA-Crypt watermarks do not affect mRNA translation.

Conclusions:

  • DNA-Crypt enables watermarking in living organisms, with built-in mutation correction.
  • The algorithm maintains information integrity and shows minimal sequence mismatches, comparable to steganographic methods.