MicroView


NameMicroView JSON
Version 0.10.1 PyPI version JSON
download
home_pagehttps://github.com/jvfe/microview
SummaryGenerate reports from metagenomics data
upload_time2024-04-08 17:02:41
maintainerNone
docs_urlNone
authorJoão Vitor F. Cavalcante
requires_python>=3.8
licenseBSD license
keywords metagenomics workflow visualization report
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # MicroView

<!-- badges: start -->

[![license](https://img.shields.io/badge/license-BSD%203--Clause-green)](https://github.com/dalmolingroup/microview/blob/master/LICENSE)
[![pytest status](https://github.com/dalmolingroup/microview/workflows/test-and-lint/badge.svg)](https://github.com/dalmolingroup/microview/actions)
[![Documentation Status](https://readthedocs.org/projects/microview-bio/badge/?version=latest)](https://microview-bio.readthedocs.io/en/latest/?badge=latest)

<!-- badges: end -->

MicroView, a reporting tool for taxonomic classification

MicroView agreggates results from taxonomic classification tools,
such as Kaiju and Kraken, building an interactive HTML report with
insightful visualizations.

Checkout the [full documentation](https://microview-bio.readthedocs.io/en/latest/?badge=latest).

## Quickstart

Install the package:

```sh
pip install microview
```

Go to your directory containing Kaiju/Kraken-style results and run:

```sh
microview -t .
```

Alternatively, if you have a CSV table defining result paths and contrasts, like this:

```
sample,group
result_1.tsv,group_one
result_2.tsv,group_two
...etc...
```

You can run MicroView like this:

```sh
microview -df contrast_table.csv -o report_with_table.html
```

Then, an HTML file named `microview_report.html` -
or the name you defined with the `-o` param -
should be available in your working directory,
try opening it with your browser!

            

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