Deform-nu

Deform-nu predicts nucleosome positioning from DNA sequences using a DNA deformation energy model to estimate nucleosome occupancy and rotational positioning for studies of chromatin structure and gene regulation.


Key Features:

  • DNA deformation energy model: Implements a deformation energy model to relate DNA physical properties to nucleosome placement.
  • Nucleosome occupancy estimation: Estimates nucleosome occupancy along DNA sequences based on calculated deformation energies.
  • Rotational positioning estimation: Predicts nucleosome rotational positioning as inferred from the deformation energy model.
  • Sequence-based analysis: Operates on input DNA sequences to derive deformation energy profiles and positioning predictions.
  • Validation: Includes validation examples demonstrating accuracy of predicted nucleosome positions.

Scientific Applications:

  • Chromatin structure and function: Inform analyses of nucleosome organization and chromatin architecture.
  • Gene expression regulation: Support studies linking nucleosome positioning to transcriptional regulation.
  • DNA replication and repair: Aid investigations of how nucleosome placement influences replication and repair processes.
  • Epigenetics: Contribute to research on epigenetic regulation mediated by nucleosome positioning.
  • Chromatin biology: Serve studies focused on nucleosome dynamics and chromatin-related mechanisms.
  • DNA–protein interaction studies: Provide positional context for analyses of DNA-binding proteins and nucleosome-associated factors.

Methodology:

Computes DNA deformation energy from input DNA sequences using a deformation energy model to estimate nucleosome occupancy and rotational positioning.

Topics

Details

Tool Type:
web application
Added:
3/19/2021
Last Updated:
3/27/2021

Operations

Publications

Liu G, Zhao H, Meng H, Xing Y, Yang H, Lin H. Deform-nu: A DNA Deformation Energy-Based Predictor for Nucleosome Positioning. Frontiers in Cell and Developmental Biology. 2020;8. doi:10.3389/fcell.2020.596341. PMID:33425904. PMCID:PMC7785812.