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haeussma authored Sep 15, 2024
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## ⭐ Key Features

- **🌱 Data processing based on raw data**
Leave behind data processing in spreadsheet applications and directly start with data analysis based on raw data. See the supported file formats.
- **🌱 Low friction data processing**
Leave behind data processing in spreadsheet applications and directly start with data analysis based on raw data.
- **🧪 Enrich reaction data with metadata**
Assign metadata like initial concentrations of reactants, temperature, pH, etc. to reaction data to yield modeling-ready data.
- **📈 Create and apply calibration curves**
Create calibrators for your analytes and use them throughout your data analysis for seamless concentration calculation.
- **⏳ Batch processing of time-course data**
Batch-process chromatograms with [OpenChrom](https://lablicate.com/platform/openchrom) or via the [`hplc-py`](https://cremerlab.github.io/hplc-py/) interface.
- **📂 FAIR data**
Transform your data into EnzymeML format for subsequent analysis or archiving.
Transform your data into EnzymeML format for subsequent analysis pipelines.

## 🛠️ Installation

Install `chromatopy` using `pip`:

```bash
pip install chromatopy
pip install chromatopy # 🚧 not released yet
```

or from source:
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