A simple yet powerful sequence clustering tool
Project description
@dib-lab/kSpider
📖 Table of Contents
➤ Table of Contents
➤ Introduction
kSpider is a user-friendly command line interface program to perform sequence clustering. First, it creates an index using kProcessor for the source sequences. Second, it constructs a pairwise containment matrix through a single iteration over the index. Finally, it builds a graph from the pairwise matrix and applies a connected-components graph algorithm to extract the clusters with a user-defined containment threshold.
Documentations are hosted at https://dib-lab.github.io/kSpider
➤ Quick Installation (pip)
pip install kSpider
➤ Manual build / Development
Install dependencies
sudo apt-get install g++ swig cmake python3-dev zlib1g-dev libghc-bzlib-dev python3-distutils libboost-all-dev
git clone https://github.com/dib-lab/kSpider.git
cd kSpider
git submodule update --init --recursive
cmake -Bbuild
cmake --build build
bash build_wrapper.sh
➤ Authors
Mohamed Abuelanin | Tamer Manosur |
➤ License
Licensed under MIT License.
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