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In a nutshell, circPipe (circRNAs Pipeline) aims at data exploration of circRNAs. It begins with the raw sequencing data and then following a step of quality control. We absorb five kind of common software/work to detect circRNAs, including Circexplorer2
, CIRI
, Find_circ
, Mapsplice
, Segemehl
and KNIFE
. Users can choose one, several or all appropriate software according to their project. By default, our pipeline will run all the five tools to detect circRNAs respectively. Then combining all these results in to a sole matrix. To interpret the data , we design three modules to explore the identified circRNAs as well as protein coding ones, including conventional annotation, differential circRNA expression analysis and correlation analysis with host genes. Plots and tables of analysis module are presented in a HTML file via Rmarkdown.
More information can be found in the The cirPipe workflow page, or in the project GitHub wiki. Please be sure that you have all dependencies software or tools preinstalled in you system. Otherwise, we recommended that users employ docker or singularity containers to run the pipe.
This wiki includes several tutorials, plz following the step by step tutorial to run cirPipe in your local server or cluster. This tutorial explain how to set the parameters in the nextflow.config
file, and describe the files that will be produced in output, while at this page you can know more about How to read the logs.
Our Pipeline Steps are showed in the below chart.
CircPipe allows you to run arbitrary pipelines among five pipelines.
Choose between workflows by using --selectTools
or not(default) .
Step | Pipeline One | Pipeline Two | Pipeline Three | Pipeline Four | Pipeline Five | Pipeline Six |
---|---|---|---|---|---|---|
Raw Data QC | Fastp | Fastp | Fastp | Fastp | Fastp | Fastp |
Reads Alignment | STAR | BWA | Bowtie2 | - | - | - |
cirRNA identification | CIRCexplorer2 | CIRI | Find_circ | Mapsplice | Segemehl | KNIFE |
Data Processing (in house script) | Python,Java,R | Python,Java,R | Python,Java,R | Python,Java,R | Python,Java,R | Python,Java,R |
Differential expression | edgeR | edgeR | edgeR | edgeR | edgeR | edgeR |
Summary Report | MultiQC | MultiQC | MultiQC | MultiQC | MultiQC | MultiQC |
2018-2019 Center for Bioinformatics, Sun Yat-sen University Cancer Center