Free Web Version of Persephone

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We invite you to start working with our free version of Persephone for the Web.

Our plan is to implement the features that have been in use in the desktop version of Persephone. Currently, you already can:

  • explore some popular genomes;
  • view several maps oriented vertically or horizontally;
  • add/remove, collapse/expand, link/unlink the tracks;
  • view gene or marker details; highlight differences between splice variants; measure different elements of gene models and extract sequences; see all locations of a given marker; list orthologs for a gene;
  • search for gene or marker names or their properties;
  • run BLAST search and visualize the results in genomic context;
  • add your own tracks  – this will require for you to register (again, free). For now, we support
    • FASTA files with entire genomes. Each registered user gets 5 GB of our disk space.
    • CSV or Excel files with positions of genomic features, such as mapped markers or location of repeats. Select the file type to see an example of the data format.
    • GFF3 or BED files with gene annotation.
    • BAM files, which hopefully will show what can be done with the modern web technologies. Our sample BAM file, that we have been training on, is of 200 GB in size. 😉
    • Bedgraph, BigWig, Wiggle files with quantitative data.
    • BLAST files – visualize the BLAST output from other resources.
  • align two or more maps, zoom in to see regions of 1 Mbp or less, and push a BLASTN button to instantly view the differences between the sequences up to a single base.
  • show the synteny matrix to visualize whole genome comparison;
  • save and restore sessions in bookmarks that can be shared.

Don’t forget to roll the mouse wheel to zoom the entire stage or individual maps.

We would appreciate any feedback. Please drop us a line via the feedback form if you want us to add your favorite genome.

This is a fully-functional version that serves the data from our servers. If you would like to work with your proprietary data and install Persephone in-house, you will need a license.

Happy genome-browsing!