Small RNAseq pipeline for paired-end reads
Project description
XICRA: Small RNAseq pipeline for paired-end reads
Description
XICRA is a python pipeline developed in multiple separated modules that it is designed to take paired end fastq reads, trim adapters and low-quality base pairs positions, and merge reads (R1 & R2) that overlap. Using joined reads it describes all major RNA biotypes present in the samples including miRNA and isomiRs, tRNA fragments (tRFs) and piwi associated RNAs (piRNAs).
So far, XICRA produces a miRNA analysis at the isomiR level using joined reads, multiple software at the user selection and following a standardization procedure. Results are generated for each sample analyzed and summarized for all samples in a single expression matrix. This information can be processed at the miRNA or isomiR level (single sequence) but also summarizing for each isomiR variant type. This information can be easily accessed using the accompanied R package XICRA.stats. Although the pipeline is designed to take paired-end reads, it also accepts single-end reads.
Installation
XICRA will require python v3.6 and java (we tested in openjdk 14 2020-03-17).
The XICRA python pipeline is available in pip
and also available using conda
.
XICRA depends on multiple third party software that we have listed below.
Dependencies
Python XICRA module will install itself along some python modules dependencies (pandas, multiqc, pybedtools, biopython etc.).
But additionally, XICRA depends on third party software that we listed in the following table.
Conda environment
We encourage you to install XICRA and all dependencies using the conda
environment we created and following these instructions.
Unfortunately, a couple of executables are not available neither as a conda
or pip
packages. These packages are miraligner
and sRNAbench
. We have generated a shell
script to retrieve and include within your conda environment
.
To create a new conda environment, install third party software, install XICRA and missing dependencies, do as follows:
## clone repo
git clone https://github.com/HCGB-IGTP/XICRA.git
## create conda environemt
conda create -n XICRA python=3.6 -f XICRA_pip/devel/conda/environment.yml
## activate
conda activate XICRA
## install latest python code
pip install XICRA
## install missing software
sh XICRA_pip/XICRA/config/software/installer.sh
To check everything is fine, try executing the config
module:
XICRA config
Python environment
If you are not using a conda
environment as you might have previously installed all dependencies, we encourage you to create a python environment containing all python modules required for XICRA. See as an example this code:
## create enviroment
python3 -m venv XICRA_env
## activate it
source XICRA_env/bin/activate
## install XICRA and dependencies
pip install XICRA
## execute XICRA
XICRA -h
Documentation
See a full documentation, user guide and manual in here
Example
Here we include a brief example on how to use XICRA.
First, we create a python environment and will install XICRA and dependencies. See example details shown before. Then, we can test XICRA by using an example of 100 miRNA simulated and provideded within the repository as an example of simulation.
## run XICRA example
ln -s ~/BMC_bioinformatics_paper/simulation/example/reads/
## prepare reads
XICRA prep --input reads/ --output_folder test_XICRA
## join reads
XICRA join --input test_XICRA --noTrim
## create miRNA analysis
XICRA miRNA --input test_XICRA --software miraligner sRNAbench
## explore results
ls test_XICRA/report/
License
MIT License
Copyright (c) 2020 HCGB-IGTP
See additional details here
Citation
Sanchez-Herrero et. al .... 2020
Authors
Antonio Luna de Haro (v0.1)
Jose F Sanchez-Herrero (v1.0)
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