locimend/README.md

112 lines
2.4 KiB
Markdown
Raw Permalink Normal View History

2021-06-03 18:56:18 +02:00
# locimend
locimend is a tool that corrects DNA sequencing errors using Deep Learning.
2021-07-07 00:05:12 +02:00
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.
2021-06-03 18:56:18 +02:00
## Technologies
- Tensorflow
- Biopython
2021-07-07 00:05:12 +02:00
- FastAPI
2021-06-03 18:56:18 +02:00
## Installation
This project uses [Nix](https://nixos.org/) to ensure reproducible
builds.
1. Install Nix (compatible with MacOS, Linux and
[WSL](https://docs.microsoft.com/en-us/windows/wsl/about)):
```bash
curl -L https://nixos.org/nix/install | sh
```
2. Clone the repository:
```bash
git clone https://git.coolneng.duckdns.org/coolneng/locimend
```
3. Change the working directory to the project:
```bash
cd locimend
```
4. Enter the nix-shell:
```bash
nix-shell
```
2021-06-25 19:16:23 +02:00
5. Install the dependencies via poetry:
```bash
poetry install
```
2021-06-03 18:56:18 +02:00
After running these commands, you will find yourself in a shell that
contains all the needed dependencies.
2021-06-10 13:28:32 +02:00
## Usage
2021-07-07 00:05:12 +02:00
### Training the model
The following command creates the trains the Deep Learning model and shows the accuracy and AUC:
2021-06-10 13:28:32 +02:00
```bash
2021-07-07 00:05:12 +02:00
poetry run python locimend/main.py train <data file> <label file>
2021-06-10 13:28:32 +02:00
```
2021-07-07 00:05:12 +02:00
- <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 locimend/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 locimend/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>"}
```