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@@ -61,9 +61,9 @@ Apollo also comes with a video tutorial. You can either download and watch it us
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CATE can be used **on-device** via **Ananconda** or by downloading and building the **GitHub** repo. It can also be used **online** via **Google Colab**.
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CATE can be used **on-device** via **Anaconda** or by downloading and building the **GitHub** repo. It can also be used **online** via **Google Colab**.
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For the **Google Colab** notebook please follow the link to [CATE on Colab](https://colab.research.google.com/drive/1p8I2umE1U2gEB95eKwg0-fdtOLbgR13-?usp=sharing).
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For the **Google Colab** notebook, please follow the link to [CATE on Colab](https://colab.research.google.com/drive/1p8I2umE1U2gEB95eKwg0-fdtOLbgR13-?usp=sharing).
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[](https://colab.research.google.com/github/theLongLab/CATE/blob/main/Colab_CATE/CATE_on_Colab.ipynb)
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@@ -77,15 +77,15 @@ To install CATE via [**Anaconda**](https://anaconda.org/deshan_CATE/cate):
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````
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conda install deshan_cate::cate
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````
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To ensure successful installation run the following:
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To ensure a successful installation, run the following:
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````
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CATE -h
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````
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**To note:** The conda install, by default, will __not install the latest gcc compiler__ for system stability reasons. If you get a libgcc error, please use the command below to install conda's libgcc and run the above CATE install.
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```
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conda install -c conda-forge libgcc
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```
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Else, if you want to install CATE **on-device** using the GitHub repo you might have to compile the code using an nvcc compiler. If so execute the following on the terminal:
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Else, if you want to install CATE **on-device** using the GitHub repo, you might have to compile the code using an nvcc compiler. If so, execute the following on the terminal:
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Download the repository:
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````
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````
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nvcc -std=c++17 *.cu *.cpp -o "CATE"
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````
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To ensure successful installation try running the following:
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To ensure a successful installation, try running the following:
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````
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CATE -h
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````
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5. Fixation Index
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6. Extended Haplotype Homozygosity
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CATE comes equipped with Apollo, our viral simulator that spans from network level to individual virion resolution complete with within-host dynamics. Apollo comes with its main simulation function and five additional utility tools.
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CATE comes equipped with Apollo, our viral simulator that spans from network level to individual virion resolution, complete with within-host dynamics. Apollo comes with its main simulation function and five additional utility tools.
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1._Apollo simulator_
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2. Haplotype retriever
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Currently, the program's executable is called:
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>Test_Main
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To run the software you need a JSON-style parameters file. An example is provided above:
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To run the software, you need a JSON-style parameters file. An example is provided above:
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> *parameters.json*.
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@@ -153,7 +153,7 @@ __Example:__
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>./Test_Main -t parameters.json
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The __HELP__ menu will list all available functions and how each function can be executed. It can be accessed by simply typing -h as the function as shown below:
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The __HELP__ menu will list all available functions and how each can be executed. It can be accessed by simply typing -h as the function, as shown below:
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> ./Test_Main -h
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**CATE** has been successfully published in the journal Methods in Ecology and Evolution (MEE). If you find this framework or the software solution useful in your analyses, please CITE the published article available in [MEE, CATE: A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data](https://doi.org/10.1111/2041-210X.14168).
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To cite CATE's code please use the Zenodo release:
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To cite CATE's code, please use the Zenodo release:
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