What is Harmony?

Harmony is a centralized online workspace for tabular biological data management and analysis. Use Harmony to organize studies into projects, data and metadata, invite contributors, and perform standardized analyses. Fully optimized for biological research yet not limited to any specific type of data, Harmony is a unique one-stop management & analytics platform in the biotech space.

What data types are currently supported?

• Object-over-variable data

  • The object-over-variable class fits most data types, where rows represent objects and columns represent variables. For example, a metabolomics dataset could have each row as a tissue sample (object) and each column as a metabolite such as adenosine (variable), with the entries holding the measured values.

  • Available analyses: Box & bar plots with statistical testing, time series, heatmaps, principal component analysis, correlation analysis, linear modeling, and more.

• Survival data

  • The survival class stores subject-level time points and events.

  • Available analyses: Kaplan–Meier curves, survival modeling, and hazard-based statistics.

• Bulk RNA sequencing

  • The bulk RNA sequencing class is a specialization of the object-over-variable type, with raw read counts per gene as measured values.

  • Available analyses: see object-over-variable + differential expression, pathway over-representation, and gene set variation analysis.

• Single-cell data

  • The single-cell class stores high-dimensional single-cell data (e.g., scRNAseq), directly importable through Seurat, among others.

  • Available analyses: cluster analysis, box & bar plots, dot plots.

• Spatial data

  • The spatial class extends the object-over-variable format by adding spatial coordinates, describing objects (cells or spots) not only by variables but also by their physical position.

  • Available analyses: cluster analysis, tissue-value mapping, box & bar plots, dot plots.

• Blob data

  • The blob class is storage-focused, optimized for (binary) files such as images, raw instrument outputs, or other unstructured datasets.

What challenges does Harmony address?

• Eliminating redundant data curation.

  • Researchers often visualize data independently using tools like Microsoft Excel, Tableau or GraphPad Prism, which inevitably requires a data cleaning (i.e., parsing) step. Similarly, bioinformaticians frequently spend time parsing and re-parsing data before analysis. Harmony eliminates this redundancy by enabling a one-time, collaborative data cleaning process, accessible to both coders and non-coders. Whether data is generated in-house, obtained from a sequencing provider, or delivered through a CRO data portal, this process creates a gold-standard, project-based database that everyone can trust and build upon.

• Enabling AI/ML applications.

  • Artificial intelligence is powerful, yet its success relies on something too often overlooked—clean interpretable data. Parsing and restructuring data can be cumbersome, but Harmony intuitively guides users through the process, with its extensive analytics framework providing a strong incentive towards best-practice data storage.

• Boosting visibility and collaboration.

  • Harmony improves visibility into both ongoing and completed experiments, on top enabling quick access to key findings via its bookmarking features. Users can execute both general and field-specific queries across the entire database.

• Standardizing analyses and visualizations.

  • Harmony’s analytics framework offers a rapid standardized approach to efficient data analysis, covering a wide range of common tasks including box and bar plots with statistical testing, time series analysis, principal component analysis, pie charts, heatmaps, linear modeling, differential expression analysis, single-cell cluster analysis, spatial data exploration, and more.

What’s the cost of a Harmony subscription?

Harmony’s pricing is flexible and depends on the number of users and the amount of data storage required. Subscriptions include support such as user training, guidance, and assistance with data curation to help your team get the most out of the platform. Since every research team has different needs, we tailor plans to fit your teams’ scale. Please reach out to discuss options.