CIRI-hub

Note!
Please input CIRIquant results for your RNA-Seq dataset or convert results from other circRNA prediction tools into the same format. CIRIhub supports the results based on the GRCh38(hg38) version. Users can download annotation and reference files here.

*essential

CIRIquant:circRNA_bsj.csv/CIRI2:please download merge_file.py as a reference to merge the outfiles. Input file format: csv matrix. !The first column of circRNA_bsj.csv is position ID of circRNAs, like chr10:100164004|100178162.

CIRIquant:gene_counts.csv/HISAT2+StringTie(with -B), deal_gene as a pipeline to generate the count file. Input file format: csv matrix. !The first column of gene_counts.csv is gene ID of genes, like CDR1.

The file should contain the following columns: Sample ID, total reads, mapping reads and group information(normal vs. tumor, C vs. T, normal vs. cancer). Input file format: csv matrix. !library_info.csv should include(Sample,Total,Mapped,Group) columns.

CIRIquant:circRNA_de.csv.Differential expression analysis for circRNAs was preformed by CIRIquant. If you haven't preformed this step, CIRI-hub will do this step in Advanced: DE-circRNA module. Input file format: csv matrix

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Note! Input the position (e.g. chr11:33286413|33287511) of your circRNA. CIRIhub supports the results based on the GRCh38 version. Users can download annotation and reference files here

Input circRNA Paste an example

Select Datasets

Input previous Job ID(optional)

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Note! Input a list of circRNA ids (one id per line). CIRIhub supports the results based on the GRCh38 version. Users can download annotation and reference files here

Input circRNA Paste an example

Select Datasets

Input previous Job ID

Paste an example

E-mail*:

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