Web-based platform
G-OnRamp provides an integrated, web-based, graphical interface for performing large scale bioinformatics analyses.
Designed for any genome
G-OnRamp is designed to work with any eukaryotic genomes.
Reproducible workflow
G-OnRamp record all the steps in the analysis workflow (e.g., tool parameters, data conversions) so that you can apply the same workflow to other eukaryotic genomes.
Share your results
The G-OnRamp analysis history (datasets, tools, and parameter settings) can be shared publicly or only with your colleagues.
You can incorporate additional Galaxy tools and modify the G-OnRamp workflow (e.g., tool parameters) according to your needs.
Multiple deployment options
G-OnRamp analysis can be done on the cloud (e.g., Amazon EC2) or on the a local virtual machine (e.g., VirtualBox) instance

GEP + Galaxy = G-OnRamp

The G-OnRamp project combines two successful and long-running projects—the Genomics Education Partnership (GEP) and the Galaxy Project. It aims to create an integrated, web-based, and scalable environment that enables biologists to utilize large genomic datasets for the interactive annotation of any eukaryotic genome.

From genome data to genome browser:

The G-OnRamp Education Article is published on PLOS Computational Biology

The G-OnRamp Application Note is published on Bioinformatics

See the preprint at bioRxiv

G-OnRamp tools

Sequence similarity
Gene predictions
  • Augustus
  • GlimmerHMM
  • SNAP
  • StringTie
  • regtools
Repeats identification
  • Tandem Repeats Finder
  • WindowMasker
Apollo interaction tools
  • Create or Update Organism
  • Apollo User Manager
  • Delete an Apollo record
Create Genome Browser Assembly Hubs
  • Hub Archive Creator
  • JBrowse Archive Creator

Past G-OnRamp beta testers and training workshops

  • 65 participants from 40+ institutions
  • 26 genome assemblies
  • Assembly sizes: 70Mb - 3.9Gb
  • Number of scaffolds: 54 - 402,501
  • 24 genomes with RNA-seq data