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.