Highly Open Workflow for Annotation & Ranking toward genomic variant Discovery
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Updated
May 17, 2024 - Python
Highly Open Workflow for Annotation & Ranking toward genomic variant Discovery
Phänotyp allows to perform genetic mutation of architectural structures. Furthermore it can be used to analyze moving shapes. This is especially useful when working on kinematic architectural projects. The tool is focusing on early stages of the design process and can be used for free without any warranty.
Генетический эксперимент
Descentralized Optimization Network (DON) is a REST API that allows extending existing evolutionary algorithms to a decentralized architecture to provide collaboration, scalability, event log and fault-tolerance in an optimization process. It also allows external clients to make remote evaluations of data using the most optimized models.
Interactive virtual ecosystem. Cells evolution. Evolution from unicellular to multicellular organisms in a virtual world
An N-Queens solver implemented using a genetic algorithm, providing efficient heuristic solution.
Graph grounding for graph coloring algorithms such as Welsh Powell and Evolution algorithms like Harmony Search and Genetic
Experimental data self organisation program, will data self organise when only constrained by itself?
Genx provides modular building blocks to run simulations of optimization and search problems using Genetic Algorithms
A Free and Open Source Python Library for Multiobjective Optimization
The Vanderbilt Cryopreserved Mouse Repository (VCMR) contains a unique collection of genetically-modified mice that available for rederivation. All lines have been either generated or modified by Vanderbilt investigators, and are not available in any other repository.
We leverage artificial intelligence to analyze DNA sequences and classify them based on discernible motifs.
Course main project for AI course instructed by Dr. Armin Salimi, spring 2023, Shahid Beheshti University
Knapsack problem solver with genetic algorithm
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