Example usage

  1. Input data

As input, you can use outputs of the most popular bioinformatic predictors of circRNAs such as CIRI2 (Gao, et al., 2018) , KNIFE (Szabo, et al., 2015) , CIRCexplorer2 (Zhang, et al., 2016) , find_circ (Memczak, et al., 2013) , circRNA_finder (Westholm, et al., 2014) , DCC (Cheng, et al., 2016) , mapsplice (Wang, et al., 2010) as well as common BED files.

Note

The BED file must contain the first 4 fields (chrom, chromStart, chromEnd and name). The remaining fields, depending on those received using various circRNAs predictors, are optional.

  • From file: Upload the local BED file from your computer

  • Input form: Fill out the form manually or paste the copied data

_images/input.png

  1. Reference genome

Choose the reference genome from list.

_images/genome.png

Note

Currently only the option of automatic detection by ID sequence from the ncbi database is available. The ability to add an custom genome is actively underway and will be available soon.

  1. Additional options

If necessary, change the default search parameters

  1. Run “Search” button to start

  2. Ouput

The output page has two tabs and describes the input settings. The Description tab contains information about the circRNA coordinates.

_images/description.png

The Results tab contains sequences of selected primers and PCR condition development

_images/pcr.png