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A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large-scale genomic data.
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### Contents
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1️⃣ [Description](#description)
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2️⃣ [News](#news)
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3️⃣ [Prerequisites](#prerequisites)
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4️⃣ [Installation Guide](#how-to-install)
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5️⃣ [Running CATE](#how-to-run)
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6️⃣ [Citations](#how-to-cite)
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7️⃣ [Contact](#contact)
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8️⃣ [License](#software-license)
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---
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#### Description
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The CATE software is a CUDAbased solution to enable rapid processing of large-scale VCF files to conduct a series of six different tests on evolution.
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The CATE software is a CUDA-based solution to enable rapid processing of large-scale VCF files to conduct a series of six different tests on evolution.
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🔵 **Here we have provided only a brief overview of CATE's useability.**
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🔵 **Here we have provided only a brief overview of CATE's usability.**
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🟢 **Please refer to [CATE's wiki](https://github.com/theLongLab/CATE/wiki) to obtain a more detailed understanding of its functionality and usability.**
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[_Return to contents_](#contents)
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#### News
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Apollo is our high-performance viral epidemic simulation platform powered by CATE's architecture.
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Apollo is already available in CATE for use. Use the **--simulator** or **-sim** command.
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Documentation on Apollo is available in our [wiki](https://github.com/theLongLab/CATE/wiki/Apollo), and a [user manual](https://github.com/theLongLab/CATE/tree/main/Apollo_User_Manual) has also been provided to get you up and running on our all-new tool.
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Documentation on Apollo is available in our [wiki](https://github.com/theLongLab/CATE/wiki/Apollo), and a [user manual](https://github.com/theLongLab/CATE/tree/main/Apollo_User_Manual) has also been provided.
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Apollo also comes with a video tutorial. You can either download and watch it using the [GitHub repo tutorial](https://github.com/theLongLab/CATE/blob/main/Apollo_User_Manual/Apollo_video_tutorial.mp4) or watch it online via the [Vimeo link](https://vimeo.com/1079571253/571b3b6fd3). We hope these resources help you get up and running with our all-new tool.
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[Apollo's preprint is now available on bioRxiv](https://doi.org/10.1101/2024.10.07.617101).
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[_Return to contents_](#contents)
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#### Prerequisites
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3. NVIDIA's CUDA toolkit (nvcc compiler)
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4. C++ compiler (gcc compiler)
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[_Return to contents_](#contents)
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#### How to INSTALL
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````
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CATE -h
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````
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[_Return to contents_](#contents)
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#### How to RUN
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