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# alignoth
A tool for creating alignment plots from bam files. The generated [vega-lite](https://vega.github.io/vega-lite/) plots are written to stdout per default.
The name alignoth is derived from the visualized **align**ments combined with the star **alioth** (usage of vega plots).
## Usage
```alignoth -b path/to/my.bam -r path/to/my/reference.fa -g chr1:200-300 > plot.vl.json```
### Arguments
The following options are available when using alignoth:
| bam-path | -b | The bam file to be visualized. | |
| reference | -r | The path to the reference fasta file | |
| region | -g | Chromosome and region for the visualization. Example: 2:132424-132924 | |
| highlight | -h | Interval that will be highlighted in the visualization. Example: 132400-132500 | |
| max-read-depth | -d | Set the maximum rows of reads that will be shown in the alignment plots | 500 |
| max-width | -w | Set the maximum width of the resulting alignment plot | 1024 |
| output | -o | If present, data and vega-lite specs of the generated plot will be split and written to the given directory | |
| data-format | -f | Sets the output format for the read, reference and highlight data | json |
| spec-output | | If present vega-lite specs will be written to the given file path | |
| read-data-output | | If present read data will be written to the given file path | |
| ref-data-output | | If present reference data will be written to the given file path | |
| highlight-data-output | | If present highlight data will be written to the given file path | |
## Installation
There a multiple ways to install alignoth:
#### Bioconda
Rust-Bio-Tools is available via [Bioconda](https://bioconda.github.io).
With Bioconda set up, installation is as easy as
conda install alignoth
#### Cargo
If the [Rust](https://www.rust-lang.org/tools/install) compiler and associated [Cargo](https://github.com/rust-lang/cargo/) are installed, alignoth may be installed via
cargo install alignoth
#### Source
Download the source code and within the root directory of source run
cargo install
## Authors
* [Felix Wiegand](https://github.com/fxwiegand)
* [Johannes Köster](https://github.com/johanneskoester) (https://koesterlab.github.io)