align3d

align3d reconstructs chromosome conformation from images of fluorescently-tagged genomic loci to infer three-dimensional chromosomal architecture for studies of genome organization.


Key Features:

  • Enhanced Reconstruction Algorithm: Implements an improved algorithm that increases reconstruction accuracy of chromosome conformation compared to prior methods.
  • Scalability: Handles large-scale problems, accommodating several hundred labeled loci in a single reconstruction.
  • Resolution Capabilities: Demonstrates via simulations the potential to achieve full-chromosome reconstructions at a resolution of 1/2 megabase (Mb).
  • Fluorescent Loci Input: Operates on images of fluorescently-tagged genomic loci where each locus is marked with a distinguishable color.

Scientific Applications:

  • Visualize Chromosome Architecture: Reconstructs three-dimensional chromosome conformations from labeled-loci images to reveal nuclear organization.
  • Study Gene Regulation: Enables investigation of how spatial genome organization relates to gene expression and regulatory interactions.
  • Investigate Disease Mechanisms: Supports identification of structural chromosome anomalies that may contribute to genetic disorders.

Methodology:

Processes images of fluorescently-tagged genomic loci—with each locus marked by a distinguishable color—using an enhanced reconstruction algorithm to infer the spatial arrangement and conformation of chromosomes, and employs advanced simulations to evaluate potential full-chromosome reconstruction at 1/2 megabase resolution.

Topics

Details

License:
GPL-3.0
Programming Languages:
MATLAB, C++
Added:
11/14/2019
Last Updated:
12/9/2020

Operations

Publications

Ross BC, Costello JC. Improved inference of chromosome conformation from images of labeled loci. F1000Research. 2019;7:1521. doi:10.12688/f1000research.16252.3. PMID:31363407. PMCID:PMC6644830.

PMID: 31363407
PMCID: PMC6644830
Funding: - National Institutes of Health: 2T15LM009451