Single Cell Gene Expression
From FASTQ to cell clusters and beyond
Gene Expression: RNA-seq
Complete guide to RNA-seq data analysis
NanoString: Gene & miRNA Expression
Visualize and collaborate on NanoString nCounter datasets
Gene Regulation & Anti-Sense: Small RNA-seq
Small RNA-seq data analysis designed for the biologist
Histone Mark & Transcription Factor: ChIP-seq
Comprehensive ChIP-seq data analysis
Chromatin Accessibility: ATAC-Seq
Genome-wide chromatin accessibility analysis
Sharing & Collaboration
Accelerate teamwork anywhere in the world
Knowledge Graph and Search
Data organized for semantic queries
COVID-19 Diagnostic Monitoring System
SARS-CoV-2 Viral Mutation Tracking
COVID Research Community
Global research analyzing COVID-19 genomic datasets
Immuno Oncology
Making discoveries on IO research
Breast Cancer
Identifying differentially expressed miRNAs in breast cancer
HIV
Transcriptional and genomic profiling study of HIV+ DLBCL
Diabetes
Discover and accelerate T1D
Multi-Omics Dataset
Explore multi-omics datasets in epigenetics research
Single Cell Data
Explore datasets with our Cell Ranger graph-based clustering
nanoString Gene Expression
Analyze your nCounter data in minutes
nanoString Mouse Glial Profiling Panel
Explore neuroinflammatory astrocyte subtypes in the mouse brain
RNA-Seq Data
Get started with bulk RNA-Seq data
Plan Comparison
Learn about Enterprise, Professional, and Academic subscriptions
Enterprise Offering
Expand the depth and reach of your scientific data teams
ROSALIND's project transferring allows you to seamlessly hand off FASTQ and complete QC to your customers. From there, they can choose to unlock their analysis and set up unlimited comparisons and filters for fine-tuned deeper exploration.
Your researchers will have access to complete pathways, disease and gene ontology for RNA-seq experiments. With fully-interactive plots and diagrams, like the first-ever dynamic tracks plot for ChIP-seq, your researchers can experience their data like never before.
My experience was outstanding! All of my datasets were analyzed quickly, and I was even able to schedule a Skype meeting with the OnRamp team to go over the results. I recommend this to anyone needing bioinformatic analysis.
Enter your experiment design by answering simple biological questions and set up your analysis with our standard pipelines or by adding your own.
Have full confidence in your data by obtaining free access to experiment and sample level QC. Experience the fastest way for identifying outliers.