## About this project

Biodose Tools is an open source project that aims to be a tool to perform all different tests and calculations needed by biological dosimetry laboratories. The app is developed using the R programming language and Shiny as a framework to offer an online, easy-to-use solution. Although the intention is to provide the application as a website, all R routines are available as an R package, which can be downloaded for improvement or personal use.

We also aim to clarify and explain the tests used and to propose those considered most appropriate. Each laboratory in its routine work should choose the most suitable method, but the project aims to reach a consensus that will help us in case of mutual assistance or intercomparisons.

The project is initially developed by RENEB association, but contributions are always welcome.

## Dicentrics: Dose-effect fitting

### Data input options

### Fitting options

### Irradiation conditions

### Data input

### Export results

### Curve plot

## Dicentrics: Dose estimation

### Curve fitting data options

**Coefficients**

**Variance-covariance matrix**

### Data input options

### Data input

### Dose estimation options

### Save results

### Curve plot

## Translocations: Dose-effect fitting

### Stains color options

**Stain color scheme**

### Chromosome data

### Genomic conversion factor

### Data input options

### Fitting options

### Irradiation conditions

### Data input

### Export results

### Curve plot

## Translocations: Dose estimation

### Curve fitting data options

**Coefficients**

**Variance-covariance matrix**

### Stains color options

**Stain color scheme**

### Chromosome data

### Genomic conversion factor

### Data input options

**Confounders**

### Data input

### Dose estimation options

### Save results

### Curve plot

## Micronuclei: Dose-effect fitting

### Data input options

### Fitting options

### Irradiation conditions

### Data input

### Export results

### Curve plot

## Micronuclei: Dose estimation

### Curve fitting data options

**Coefficients**

**Variance-covariance matrix**