GWAS software that combines traditional statistical methods with the power of Artificial Intelligence
Project description
About GWAStic
GWAStic is a software for Genome-Wide Association Study (GWAS) that combines traditional statistical methods with the power of Artificial Intelligence (AI) for comprehensive genetic analysis.
Key Features:
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Comprehensive Genetic Analysis: GWAStic offers a wide range of methods to analyze your genomic data, allowing you to explore the associations between genetic variants and traits of interest comprehensively.
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AI-Enhanced Data Analysis: Harness the capabilities of machine learning and AI to uncover subtle patterns, interactions, and associations that may be missed by conventional statistical methods.
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User-Friendly Interface: GenoAI's intuitive interface makes it accessible to both novice and experienced researchers. Seamlessly navigate through your data, perform analyses, and visualize results with ease.
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Customizable Workflows: Tailor your analysis to your specific research goals with customizable workflows. Define your parameters, select the appropriate statistical models, and integrate AI components as needed for a personalized analysis experience.
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Collaborative Research: Collaborate seamlessly with colleagues and share your findings securely within the platform.
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Frequent Updates: Stay at the forefront of genetic research with regular software updates. GWAStic incorporates the latest advancements in GWAS and AI methodologies to keep your analyses up-to-date.
Citation
Documentation
Installation
GWAStic software was build and successfully tested on Windows operating system (Windows 7 and 10).
->Install Anaconda (https://www.anaconda.com/distribution/)
conda create --name gwastic_env python=3.9
conda activate gwastic_env
conda install pip
pip install gwastic_desktop
Usage:
Contributions:
We are strongly looking for contributions.
References:
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