Projects & Datasets
Organizing research inside the application hinges natively on managing Projects, which operate as securely bound envelopes encompassing multiple omics Datasets.
Managing Projects
Users can spawn fresh projects logically associated with metadata like experiment dates, research descriptions, and visibility scopes.
Project Management Interface
Displays functional capabilities for structuring and managing folders logic.
Uploading & Selecting Datasets
Within the scope of a project, raw datasets are injected explicitly. The dataset orchestrator supports heterogeneous inputs seamlessly spanning multi-omics layers like Genomics, Proteomics, and Metabolomics.
Dataset Administration
Features active file upload configurations and processing pipelines.
Upload Parameter Guide
Reference for the data ingestion and management parameters used when adding new datasets to the platform.
Dataset Identifier
A unique, human-readable name for tracking your data across different projects and analysis results.
Source File Selection
Accepts structured tabular data (CSV, TSV, XLSX). The platform automatically parses the first row as feature headers.