Creating & Linking an RNA-seq Project
Project SetupAn RNA-seq project pairs a count matrix with sample metadata and holds all configured models, run history, and results in one place.
When to Use
- You are starting a new RNA-seq analysis from scratch and need to connect your count matrix to its metadata.
- You imported the sample dataset and want to configure your first differential expression model.
- You need to switch between multiple RNA-seq projects using the navigator sidebar.
Required Inputs
- A count matrix CSV already imported into the easyCris data store.
- A metadata CSV already imported into the easyCris data store.
- Both files linked to the same RNA-seq project via the sidebar controls.
What to Expect
- The RNA-seq sidebar shows the project name with indicators confirming both the count matrix and metadata are linked.
- The Counts and Metadata tabs let you preview and verify both datasets before running analysis.
- The Configure Model button becomes available once both datasets are linked and validated.
Common Pitfalls
- Importing a file into the Statistics workspace does not automatically link it to an RNA-seq project. Use the RNA-seq import buttons in the sidebar.
- Deleting a linked dataset breaks the project link. Re-import the file and re-link it to the project.
- Each RNA-seq project is independent. Models, run configurations, and results do not transfer between projects.
Citations
References
- Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15, 550.