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
Subscription and Pricing Comparison
Learn about Enterprise, Professional, and Academic subscriptions
Enterprise Offering
Expand the depth and reach of your scientific data teams
Single Cell Gene Expression
Gene Expression: RNA-seq
A complete guide to RNA-seq data analysis
NanoString: Gene, miRNA & Protein Expression
A complete guide to NanoString nCounter data analysis and collaboration
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
Sharing & Collaboration
Accelerate teamwork by connecting experts and datasets anywhere in the world
Knowledge Graph and Search
Spaces bring scientists and their datasets together for collaborative discovery
Share experiments and meta-analyses in Spaces to create a virtual meeting room where every participant can explore, interpret and contribute to discovery as a team.
Each Space includes a title, description and listing of total experiments and participants
Identify experiment type and species with the icons that preceed each one
Select an experiment to begin exploring the results
Utilize Hyper Summaries to quickly see all samples, comparisons, meta-analyses and spaces connected to an experiment
Spaces bring scientists and their datasets together for collaborative discovery
Share experiments and meta-analyses in Spaces to create a virtual meeting room where every participant can explore, interpret and contribute to discovery as a team.
Identify the species by the associated icons
Expand to the see details on the comparisons and filters selected for the meta-analysis
Select a meta-analysis to begin exploring the results
Adjust display parameters to change sorting and reduce the detail shown
Spaces bring scientists and their datasets together for collaborative discovery
Share experiments and meta-analyses in Spaces to create a virtual meeting room where every participant can explore, interpret and contribute to discovery as a team.
Find members and contact details under the Participants tab
Space owners can instantly add or remove members
Catch up on recent teamwork with the activity feed
Explore shared datasets with real-time collaboration and data consistency
Interact with shared experiments with the same capabilities as personal datasets. Follow along and participate alongside fellow scientists in your Spaces team.
Easily return to the Spaces Dashboard
Visually explore top pathways. Click the magnifier to dive deeper into extensive knowledge bases.
Create unlimited cut-off filters with fold change and p-adjusted parameters
Search for genes or select pre-defined gene lists
Implement covariate corrections. Easily understand the trade-offs & benefits with interactive diagrams
Quickly modify gene lists by adding or removing genes, pathways and other terms
Create a new Space with just a few simple clicks
Follow these simple steps to select available discovery experiences and add new participants. All unlocked experiments and meta-analyses are eligible to be added to a Space.
Click Add New Space to begin data sharing & collaboration
Define a Unique Space Name
Enter a meaningful description that encapsulates the objectives for all participants to see
Select experiments to share
Identify each experiment type with it's associated tags
Select meta-analyses to share
Create a new Space with just a few simple clicks
Enter the email addresses or phone numbers for each of the participants to invite to the space. They will either receive an email or text, respectively.
Invite fellow scientists and experts to join the your Spaces team by either email or phone number
Alternately, skip invitations until later to create the Space privately
Collaborative research connects scientists and other experts from anywhere in the world with consistent data analysis and interpretation to enable rapid acceleration of discoveries. Through the use of virtual environments and real-time shared editing capabilities, how we collaborate with one another has been reshaped to be more effective, especially for collaborative research.
Imagine sharing experiment results without having to email screen captures or sending sequence files. Researchers employing online collaborative research methods are finding new ways to save time while eliminating the frustration of shipping boxes of hard drives. These previously unsecured and outdated practices have placed too much emphasis on how to re-process data, rather than solving how to jointly interpret shared results and finding more meaningful insights together.
ROSALIND empowers researchers with a cloud platform that accelerates discoveries by streamlining quality control, differential expression and pathway exploration through real-time teamwork and collaborative discovery.
Scientists share their experiments and connect with fellow team members, colleagues and collaborators through virtual meeting rooms that unify their communications and teamwork on shared datasets. Every update is instantly available to each participant wherever they are in the world, with audit trail tracking that’s reported on an activity feed that keeps everyone up to date.
Collaboration and efficiency provide the greatest value to teamwork and scientist productivity. When evaluating platforms for bioinformatics, these should be weighed more heavily than any other consideration. Complexities surrounding customization and integrations do not need to precede deep insights. The most productive organizations empower their scientists with platforms that provide the freedom to easily explore and globally collaborate on their research and project data.
The key is to enable mechanisms for real-time consistency, interactive exploration and deep investigation from anywhere in the world. Cloud computing is instrumental in making this possible and requires a robust platform to tackle data management complexity and ensure the consistency of distributed data analysis.
Online collaborative research tools that implement high productivity methods (like GoogleDocs) and provide complete secondary and tertiary analysis in one shared location, become essential when research needs to happen anywhere. Whether working remotely or collaborating globally, scientific teams must be able to work together and in real-time.
There are three easy steps to sharing and collaboration on ROSALIND:
Teamwork begins with an online collaborative area (we call this a Space), or virtual meeting room, where scientists from anywhere in the world can come together around a common objective to share and explore experiment results. Within a Space, researchers can work together to analyze and interpret the results in real-time, regardless of their location at the bench or otherwise.
To get started, ROSALIND walks through a series of simple steps to select available experiments and meta-analyses before inviting participants to join by text or email.
Every participant of the Space has the ability to explore experiments and meta-analyses as if they were their own, including access to pathway interpretation, comparisons and filters (cut-offs) within each shared experiment.
Depending on the user access-level and the permissions set for the Space, participating scientists have the ability to contribute their own analysis and enhance the shared experiments, or create meta-analyses across shared and private datasets from their own workspace. Any updates within the space are visible to all participants, instantly, anywhere in the world.
The activity feed within each Space reports all activities from every participant and serves as an audit trail for the collaborative teamwork performed.
ROSALIND secures all information in every Space by encrypting all data transmissions and data storage. Using an access-control system architecture, there is trackable assurance that access is only granted to authenticated users with permissions to a shared dataset. Only Space owners and Enterprise Administrators have the ability to delete Spaces they create and may also remove any experiment, meta-analysis, or participant at any time. Each participant has the ability to remove their own experiments and meta-analyses or to leave a Space. All changes within a Space are reported on the activity feed.
IT departments may define detailed policies to administer and restrict sharing such that teamwork is enabled without compromising corporate security policies. Learn more about Enterprise Subscriptions by contacting us.
Is a subscription required to join a Space?
A subscription is not required to accept an invite and join a Space. However, all users must have a ROSALIND account to join a Space.
How do I register for a ROSALIND account?
ROSALIND accounts can be setup by clicking New User on the https://app.rosalind.bio/login login page, or by completing a Trial Request. To learn more about Subscriptions, visit the Product Comparison.
How do I create a new Space and begin sharing an experiment?
Any user with a ROSALIND account can create a collaboration Space. Users may only add experiments and meta-analyses that they own, including public data experiments they have imported.
What can I do if I’m invited to a collaboration Space?
After joining a Space, every user can view and explore the shared experiments and meta-analyses, including all of the applicable pathway intepretation. ROSALIND Scientists, Directors and Explorers can add new filters to change cut-offs, or add new comparions and meta-analyses.
Can I share an experiment in more than one Space?
Yes, an experiment may be shared in any number of spaces to enable collaboration across multiple groups. Consistency, and security are preserved for the experiment within every space that it is included.
Can I remove my experiment or meta-analysis from a Space?
Any participant can remove an experiment or meta-analysis that they have shared within a Space at anytime. Doing so immediately removes access to the shared resource.
Can I leave a Space and remove myself from the collaboration?
Any participant can leave a Space at anytime. Doing so removes their access and will require a new invite to join the collaborative Space again. Only the owner of a Space or an Enterprise Administrator may remove participants.
Can the API be used to add experiments to a Space?
Yes, API integration enables production informatics teams to centrally process and distribute results within Spaces to each program or project team requesting an analysis. This is a best practice among pharma R&D teams. API integration also includes Single-Sign-On (SSO) support. Contact sales to learn more sales@onramp.bio
Receive the free ROSALIND Quick Start Guide with your trial