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[**ℹ️ Tutorials**](https://dynverse.org)
[**ℹ️ Reference documentation**](https://dynverse.org/reference)
# Inferring trajectories using dyno
```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
out.width = "100%",
fig.path = "man/figures/",
message = FALSE,
dpi = 300
)
set.seed(1)
```
The **dyno** package offers **end-users** a complete TI pipeline. It features:
* a uniform interface to `r nrow(dynmethods::methods)` [TI methods](https://github.com/dynverse/dynmethods#list-of-included-methods),
* an [interactive guideline tool](https://github.com/dynverse/dynguidelines#selecting-the-most-optimal-ti-methods) to help the user select the most appropriate method,
* [streamlined interpretation and visualisation of trajectories](https://dynverse.org/reference/dynplot/plot_trajectory/plot_dimred/#examples), including colouring by gene expression or clusters, and
* downstream analyses such as the [identification of potential marker genes](https://dynverse.org/reference/dynplot/plot_trajectory/plot_heatmap/#examples).
**For information on how to use dyno, check out the installation instructions, tutorials and documentation at [dynverse.org](https://dynverse.org)**
![](man/figures/toolkit.png)
## Latest changes
Check out `news(package = "dyno")` or [NEWS.md](NEWS.md) for a full list of changes.
```{r news, echo=FALSE, results="asis"}
cat(dynutils::recent_news())
```
## Dynverse dependencies
![](man/figures/dependencies.png)