Reconstructs complex variation using Bionano optical mapping data and breakpoint graph data
A MATLAB-based graphical user interface to display, condition, and analyze data optical mapping data for cardiac electrophysiology experiments
an open-source (GPLv3) standalone Python package to analyze optical mapping data, with de novo repeat motif detection and analysis capabilities
A combination of optical genome mapping with Bionano and whole genome sequencing short-read data. This pipeline was created to help integrate structural variant calling from these two technologies.
SALAR is a high-performance Delphi-based suite for cardiac optical mapping. It features first-principle algorithms for APD80 detection and Conduction Velocity mapping. Benchmarked against Nature (Scientific Reports) data, it offers a smart, advanced, and low-cost tool for research.
A software package for optical mapping data processing, analysis and visualization
The SALAR-Bio-Lab (Smart and Low-cost Advanced Analysis and Research) is the product of over two years of intensive R&D at the Golestan Ischemic Disorder Lab. It represents an end-to-end open-access framework for extracting complex heart characteristics, ranging from real-time electrical time-domain markers to spatial conduction velocity vectors.
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