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README.md

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- Hidden Markov Model
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## 🔧 Requirements
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```
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jupyter notebook
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```
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🚀 Installation
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## 🚀 Installation
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```
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pip install reactIDR
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```
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▶️ Getting Started
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## ▶️ Getting Started
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Test datasets are provided in the example and csv_example directories.
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To run a demo using CSV input:
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```
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📚 More usage examples and options are available in the [Wiki](https://github.com/carushi/reactIDR/wiki).
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🛠️ Scripts
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## 🛠️ Scripts
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| Script | Description |
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|-----------------------|---------------------------------------------------------------------------|
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| `tab_to_csv.py` | Append raw count data to output CSV |
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📖 Reference
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## 📖 Reference
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* R. Kawaguchi, H. Kiryu, J. Iwakiri and J. Sese. ["reactIDR: evaluation of the statistical reproducibility of high-throughput structural analyses towards a robust RNA structure prediction" BMC Bioinformatics 20 (Suppl 3) :130 (2019)"](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-019-2645-4) ー Selected for APBC '19 proceedings
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* [Docker image for reactIDR](https://hub.docker.com/r/carushi/rt_end_counter/)

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