Home

Welcome to the circPipe wiki!

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 only run CIRI to detect circRNAs. If our users chose several kinds of software, our pipeline will then combine all these results in to a sole matrix. The software KNIFE may be a little complicated, the running speed is slow and it will chew up a ton of memory.Our pipeline support KNIFE,but we will not run it during the test.When users use docker, it will also not allowed to use KNIFE. If users still want to use KNIFE, then users should download the software that our pipeline provided and configure Paths themselves. 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.

Workflows

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+R markdown	MultiQC+R markdown	MultiQC+R markdown	MultiQC+R markdown	MultiQC+R markdown	MultiQC+R markdown