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locimend is a tool that corrects DNA sequencing errors using Deep Learning. locimend is a tool that corrects DNA sequencing errors using Deep Learning.
The goal is to provide a correct DNA sequence, when a sequence containing errors is provided.
It provides both a command-line program and a REST API.
## Technologies ## Technologies
- Tensorflow - Tensorflow
- Biopython - Biopython
- FastAPI
## Installation ## Installation
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## Usage ## Usage
The following command creates the dataset, trains the Deep Learning model and shows the accuracy: ### Training the model
The following command creates the trains the Deep Learning model and shows the accuracy and AUC:
```bash ```bash
poetry run python src/model.py poetry run python src/main.py train <data file> <label file>
``` ```
- <data file>: FASTQ file containing the sequences with errors
- <label file>: FASTQ file containing the sequences without errors
Both files must contain the canonical and read simulated sequences in the same positions (same row).
A dataset is provided to train the model, in order to proceed execute the following command:
```bash
poetry run python src/main.py train data/curesim-HVR.fastq data/HVR.fastq
```
### Inference
A trained model is provided, which can be used to infer the correct sequences. There are two ways to interact with it:
- Command-line execution
- REST API
#### Command-line
The following command will infer the correct sequence, and print it:
```bash
poetry run python src/main.py infer "<DNA sequence>"
```
#### REST API
It is also possible to serve the model via a REST API, to start the web server run the following command:
```bash
poetry run api
```
The API can be accessed at http://localhost:8000, with either a GET or POST request:
| Request | Endpoint | Payload |
|:----:|:-----:|:-----:|
| GET | / | Sequence as a path parameter (in the URL) |
| POST | /| JSON |
For a POST request the JSON must have the following structure:
```json
{"sequence": "<DNA sequence>"}
```