GeoMx Spatial Transcriptomics
Best-in-class GeoMx SolutionFrom DCC files to pathway enrichment and beyond
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
Subscriptions and Pricing
Learn about Enterprise, Professional, and Academic subscriptions
Enterprise Offering
Expand the depth and reach of your scientific data teams
BRING YOUR DATA TO LIFE
Rosalind™ provides advanced analyses without any bioinformatics skills required, and includes interactive visualization.
You can set-up an experiment and obtain your results within minutes.
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.