---
title: "Custom browser tutorial"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Custom browser tutorial}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, echo=FALSE, include=FALSE}
knitr::opts_chunk$set(eval = FALSE)
```

This tutorial will cover how to embed JBrowseR into a shiny app, and how to customize the browser by creating data tracks and a custom theme.
Before we get started with writing R code, it is necessary to cover some JBrowse 2 concepts, and look at how to prepare data for use with the browser.
There are three core aspects of JBrowse 2 configuration:

- **Assembly**: the reference assembly being displayed
- **Tracks**: the generic container for displaying various types of genomic data in the browser
- **defaultSession**: what is displayed when the browser is first loaded

Other import points of configuration are the **location**, which is the location in the genome on first load, and the **theme**, which can be used to create a custom color palette for your browser.
While all of these values are possible, the only required configuration is an assembly.

## Preparing an assembly

The steps for preparing an assembly for use in the browser can be found in the [JBrowse 2 docs](https://jbrowse.org/jb2/docs/quickstart_cli/), but we will cover them again here.
In order to be used, an assembly must first be indexed.
We will be using the Sars-CoV-2 genome for this tutorial.

To create an index, we first need to download the FASTA for the assembly.
This can be found [here](https://www.ncbi.nlm.nih.gov/nuccore/NC_045512).
We also need [htslib](http://www.htslib.org/), which provides the tools we need for indexing and compression.
(I prefer to install htslib using [bioconda](https://bioconda.github.io/)).
The remaining steps assume the htslib is installed, and we have a fasta file named `sars-cov2.fa`.

With these steps taken, we are going to compress and index the assembly, for best performance.
The necessary commands are:

```{bash}
# 1. compresses sars-cov2.fa to sars-cov2.fa.gz
# 2. generates sars-cov2.fa.gz.fai and sars-cov2.fa.gz.gzi
bgzip sars-cov2.fa
samtools faidx sars-cov2.fa.gz
```

For the rest of the tutorial code, we are going to use the following already hosted results of these commands:

- `https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz`
- `https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz.fai`
- `https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz.gzi`

However, these are the same steps for preparing any assembly for use with the browser.
For notes on creating URLs for your data either locally or hosted, read more [here](https://gmod.github.io/JBrowseR/articles/creating-urls.html).

## Creating a minimal shiny app

[Shiny](https://shiny.posit.co/) is an excellent web framework that makes it easy to create interactive web applications with a minimal amount of R code.
The basic Shiny app consists of a UI and a server:

```{r}
library(shiny)
library(JBrowseR)

ui <- fluidPage()

server <- function(input, output, session) {}

shinyApp(ui, server)
```

This is all of the boilerplate code we need for our app.
Now, we can add the browser displaying the Sars-CoV-2 genome.

```{r}
ui <- fluidPage(
  titlePanel("Sars-CoV-2 JBrowseR Example"),
  # this adds to the browser to the UI, and specifies the output ID in the server
  JBrowseROutput("browserOutput")
)

server <- function(input, output, session) {
  # create the necessary JB2 assembly configuration
  assembly <- assembly(
    "https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz",
    bgzip = TRUE
  )

  # link the UI with the browser widget
  output$browserOutput <- renderJBrowseR(
    JBrowseR(
      "View",
      assembly = assembly
    )
  )
}

shinyApp(ui, server)
```

That is all of the code we need to add a custom genome browser to a Shiny app!
It is worth noting that the `assembly()` function takes only the root FASTA file as the argument, but infers the `.fai` and `.gzi` files because they use the standard naming convention.
A similar pattern is true for other tracks that require index files.
In these cases, it is noted in the function documentation.

## Adding tracks

With an embedded browser running in a Shiny app, we can look at how to add data tracks to the browser.
Adding tracks takes place in the server function:

```{r}
server <- function(input, output, session) {
  # create the necessary JB2 assembly configuration
  assembly <- assembly(
    "https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz",
    bgzip = TRUE
  )

  # create configuration for a JB2 GFF FeatureTrack
  annotations_track <- track_feature(
    "https://jbrowse.org/genomes/sars-cov2/sars-cov2-annotations.sorted.gff.gz",
    assembly
  )

  # create the tracks array to pass to browser
  tracks <- tracks(annotations_track)

  # link the UI with the browser widget
  output$browserOutput <- renderJBrowseR(
    JBrowseR(
      "View",
      assembly = assembly,
      # pass our tracks here
      tracks = tracks
    )
  )
}
```

JBrowseR has functions for adding four track types:

- `track_alignments()`: visualize BAM or CRAM alignment data
- `track_feature()`: visualize GFF3 data
- `track_variant()`: visualize VCF data
- `track_wiggle()`: visualize bigWig data

Any number of tracks can be passed to the main tracks function, for example:

```{r}
tracks <- tracks(
  annotations,
  variants,
  alignments
)
```

but for now, we will stick with the feature track that we've created.

## Setting a default session

Up until this point, nothing is displayed by default in the browser when the app first loads.
We can change that by configuring the default session:

```{r}
# set up the default session for the browser
default_session <- default_session(
  assembly,
  c(annotations_track)
)
```

This sets up the browser to display the reference track and the annotations track by default when it loads.

Now we update the call to our renderer:

```{r}
output$browserOutput <- renderJBrowseR(
    JBrowseR(
      "View",
      assembly = assembly,
      tracks = tracks,
      location = "NC_045512.2:1..100",
      defaultSession = default_session
    )
)
```

Here we have passed the `default_session` we created, and set a starting location for the browser (the first 100 bases).

## Creating a custom theme

In addition to visualizing your own data, you may want your browser to have your own theme.
Another JBrowseR function makes creating a custom theme very simple:

```{r}
# accepts up to four colors for creating a custom palette
theme <- theme("#5da8a3", "#333")
```

And again we update the renderer, now passing the theme:

```{r}
output$browserOutput <- renderJBrowseR(
    JBrowseR(
      "View",
      assembly = assembly,
      tracks = tracks,
      location = "NC_045512.2:1..100",
      defaultSession = default_session,
      theme = theme
    )
)
```

## Putting it all together

Let's take a look at the final complete app:

```{r}
ui <- fluidPage(
  titlePanel("Sars-CoV-2 JBrowseR Example"),
  # this adds to the browser to the UI, and specifies the output ID in the server
  JBrowseROutput("browserOutput")
)

server <- function(input, output, session) {
  # create the necessary JB2 assembly configuration
  assembly <- assembly(
    "https://jbrowse.org/genomes/sars-cov2/fasta/sars-cov2.fa.gz",
    bgzip = TRUE
  )

  # create configuration for a JB2 GFF FeatureTrack
  annotations_track <- track_feature(
    "https://jbrowse.org/genomes/sars-cov2/sars-cov2-annotations.sorted.gff.gz",
    assembly
  )

  # create the tracks array to pass to browser
  tracks <- tracks(
    annotations_track
  )

  # set up the default session for the browser
  default_session <- default_session(
    assembly,
    c(annotations_track)
  )

  theme <- theme("#5da8a3", "#333")

  # link the UI with the browser widget
  output$browserOutput <- renderJBrowseR(
    JBrowseR(
      "View",
      assembly = assembly,
      tracks = tracks,
      location = "NC_045512.2:1..100",
      defaultSession = default_session,
      theme = theme
    )
  )
}

shinyApp(ui, server)
```

Awesome, we've added a genome browser with annotations and a custom theme to a Shiny app!
