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

Nucleosomal DNA property database.

V G Levitsky1, M P Ponomarenko, J V Ponomarenko

  • 1Laboratory of Theoretical Genetics, Institute of Cytology & Genetics, 630090, Lavrentieva 10, Novosibirsk, Russia. levitsky@bionet.nsc.ru

Bioinformatics (Oxford, England)
|September 17, 1999
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

Concept of natural genome reconstruction.Part 5. Analysis of changes in the lifespan of old animals after reinfusion of bone marrow cells derived from old animals and treated with hDNAgr in combination with recombinant human angiogenin.

Vavilovskii zhurnal genetiki i selektsii·2026
Same author

Concept of natural genome reconstruction. Part 4. Integration of extracellular double-stranded DNA fragments into the genome of hematopoietic stem cells and the formation of extrachromosomal intermediates.

Vavilovskii zhurnal genetiki i selektsii·2026
Same author

Rational bioinformatic approach to the analysis of functional properties of metabolites of probiotic microorganisms based on gene network reconstruction.

Vavilovskii zhurnal genetiki i selektsii·2026
Same author

Genes representing the stress-dependent component in arterial hypertension development.

Vavilovskii zhurnal genetiki i selektsii·2026
Same author

FlyDEGdb knowledge base on differentially expressed genes of Drosophila melanogaster, a model object in biomedicine.

Vavilovskii zhurnal genetiki i selektsii·2026
Same author

Linking hierarchical classification of transcription factors by the structure of their DNA-binding domains to the variability of their binding site motifs.

Vavilovskii zhurnal genetiki i selektsii·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
See all related articles

Understanding nucleosomal DNA properties is key for gene function. This study introduces a comprehensive method to identify critical DNA characteristics for improved nucleosome binding site recognition.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Chromatin structure is essential for gene regulation.
  • Analyzing nucleosomal DNA properties and sequences is crucial for understanding gene function.
  • Existing sequence analysis methods are insufficient for a complete description of nucleosomal DNA due to weak positioning signals.

Purpose of the Study:

  • To develop a set of methods to identify the most important nucleosomal DNA characteristics.
  • To reveal common patterns in nucleosome site properties.
  • To create a comprehensive database of nucleosomal DNA properties.

Main Methods:

  • A complex approach integrating various methods was employed.
  • Conformational and physicochemical properties significant for nucleosome binding were determined.

Related Experiment Videos

  • An integrated database of nucleosomal DNA properties was compiled.
  • Main Results:

    • Significant DNA characteristics for nucleosome binding were identified.
    • A common pattern of nucleosome site properties was revealed.
    • The database facilitates classification of site sequences and generation of recognition programs.

    Conclusions:

    • A complex approach enhances the description of nucleosomal DNA properties.
    • The developed methods and database improve nucleosome positioning sequence recognition.
    • This work provides valuable tools for genomic research and gene function studies.