The reproducible workspace for science.
Computational biology, cardiology, neurology, pathology, oncology, immunology, infectious disease, and microbiology — guided workflows, reproducible pipelines, and analysis in one unified application.
Eight domains, one platform
Computational Biology
Single-cell, bulk RNA-seq, spatial transcriptomics, scalable integration, annotation, pseudobulk DE, trajectory, and biomarker discovery in guided study workspaces. Move from data workspaces through Explore, Analyze, Results, and Interpret, with run history and publication-ready figure export throughout.
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Cardiology
ECG, RR, blood pressure, and PPG recordings with preprocessing, HRV, cohort comparison, and interpretation. Upload and inspect recordings, run batch analysis and quality review, compare cohorts, and produce reports and grounded interpretation.
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Immunology
Single-cell and multi-modal immune studies with annotation, cell-state scoring, repertoire analysis, cell-cell communication inference, ligand activity inference, and disease cohort comparison. Work through annotation, immune composition, communication, repertoire, and multimodal profiling, then organize disease cohorts and generate grounded reports.
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Infectious Disease
Episode-centered cohorts linking pathogen, host, exposure, and intervention evidence to clinical outcomes, plus a shared Spread workspace for national, HHS-region, state, and global surveillance, Rt, forecasting, and WHO indicators. Model participants and infection episodes, run person-place-time epidemiology and genomic outbreak investigation, then open Spread for CDC/WHO surveillance connectors, HHS-region trends, maps, Rt, forecasts, and early-warning lag analysis.
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Microbiology
Microbial community studies from marker-gene and whole-metagenome sequencing, with QC, taxonomic profiling, diversity, compositional differential abundance, functional pathways, and grounded interpretation. Upload datasets, then explore taxonomy, diversity, differential abundance, and functional profiling — with grounded interpretation and full run history.
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Neurology
Connectivity matrices, EEG, and fMRI with graph metrics, network visualization, NBS cohort analysis, and reporting. Upload connectivity matrices and explore graph metrics, heatmaps, 3D brain and EEG topomap views, microstates, and cohort comparisons.
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Oncology
Multi-omic oncology studies with TME profiling, immuno-oncology communication, ligand activity IO hypotheses, mutation landscape, survival analysis, and grounded interpretation. Profile the tumor microenvironment and immune phenotype, map signaling networks and mutation landscapes, and connect molecular features to survival outcomes.
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Pathology
Whole-slide and region images with tiling, tissue detection, cell segmentation, and spatial quantification. Upload and view whole slides with tissue and cell overlays, run quantification jobs, import annotations, and compare cohorts.
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Shared infrastructure for every area
One shared research platform
Users, organizations, datasets, jobs, and provenance live in one application while each research area keeps its own workflow.
Grounded analytical interpretation
Generate summaries from structured analysis outputs, with claims tied back to recorded metrics, genes, pathways, or run artifacts.
Reproducible by design
Every run captures parameters, pipeline versions, status, and artifacts so analyses can be reviewed, repeated, and audited.
Interactive scientific outputs
Move from datasets to UMAPs, brain networks, slide viewers, differential expression, waveforms, HRV metrics, and cohort comparisons.
How research moves through the platform
- 01
Choose a research area
Each domain has dedicated dataset types, pipeline workflows, and analysis views under one shared organization and user model.
- 02
Create a study
Organize datasets, metadata, subjects, design variables, and analysis runs in a reproducible study container.
- 03
Run reproducible pipelines
Launch compute jobs for QC, clustering, differential expression, graph metrics, HRV, tissue segmentation, or cohort summaries.
- 04
Explore results
Review dashboards, UMAPs, brain networks, slide viewers, waveforms, run artifacts, and statistical comparisons.
- 05
Interpret and communicate
Use grounded AI summaries and publication-oriented outputs that cite recorded results instead of inventing claims.