taxonomy, sequana, kraken, snakemake
Project description
This is is the multitax pipeline from the Sequana project
- Overview:
Runs taxonomic analysis on a set of samples using sequana_taxonomy (kraken behing the scene)
- Input:
A set of Fastq files
- Output:
HTML report for each sample and a summary HTML report for all (multiqc + dendogram)
- Status:
draft
- Citation:
Cokelaer et al, (2017), ‘Sequana’: a Set of Snakemake NGS pipelines, Journal of Open Source Software, 2(16), 352, JOSS DOI doi:10.21105/joss.00352
Installation
You must install Sequana first:
pip install sequana
Then, just install this package:
pip install sequana_multitax
Usage
sequana_pipelines_multitax --help sequana_pipelines_multitax --input-directory DATAPATH --databases toydb
For the database, you will need to provide your own databases. You can check out the documentation of kraken. The toydb here above is shipped with sequana and should work for demo. See sequana_taxonomy standalone for more help and information. You can also checkout the sequana documentation (kraken module)
This creates a directory with the pipeline and configuration file. You will then need to execute the pipeline:
cd multitax sh multitax.sh # for a local run
This launch a snakemake pipeline. If you are familiar with snakemake, you can retrieve the pipeline itself and its configuration files and then execute the pipeline yourself with specific parameters:
snakemake -s multitax.rules -c config.yaml --cores 4 --stats stats.txt
Or use sequanix interface.
Requirements
This pipelines requires the following executable(s):
kraken and/or kraken2
sequana_taxonomy
You cannot install both kraken1 and kraken2 together. We recommend to use the latest version:
conda install kraken2
You can download databases from kraken website. We provide some databases on https://github.com/sequana/resources. You can download a toy database as follows:
sequana_taxonomy --download toydb
The first time, a taxonomic database will be downloaded and stored locally in .config/sequana/taxonomy.dat file. You can update it from time to time using:
sequana_taxonomy --update-taxonomy
Details
This pipeline runs sequana_taxonomy (based on kraken) in parallel on the input fastq files (paired or not). A brief sequana summary report is also produced. For each sample, a HTML page is reported with the following kind of image. This pie chart is a static image summarizing the species found in your sample. Unclassified reads are in grey. Colors correspond to a kingdom (green for viruses). If you click on the image, you will be redirect to a more precise pie chart base on Krona pie chart, which is more interactive.
The analysis is enterily based on Kraken tool. If several databases are provided, they are run sequentially. This requires a careful interpretation of the results. Indeed analysing data with viruses then bacteria may give different results as compare to analysing with bacteria then viruses.
Rules and configuration details
Here is the latest documented configuration file to be used with the pipeline. Each rule used in the pipeline may have a section in the configuration file.
Changelog
Version |
Description |
---|---|
0.9.0 |
|
0.8.7 |
|
0.8.6 |
|
0.8.5 |
|
0.8.4 |
|
0.8.3 |
|
0.8.2 |
|
0.8.1 |
Fix requirements. |
0.8.0 |
First release. |
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file sequana_multitax-0.9.0.tar.gz
.
File metadata
- Download URL: sequana_multitax-0.9.0.tar.gz
- Upload date:
- Size: 156.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200917 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 99ee1b28775c953da7bbadb494a7255978653940685ef3ed28743807a3b98670 |
|
MD5 | d283a9de505b96ffe8599bd958ba5a58 |
|
BLAKE2b-256 | d5e426d87aa5748317750869a7030c2feca345c043191a4b5eebf2bf55d49416 |