Intro to Mantle

This guide introduces Mantle’s capabilities, the end-to-end flow for biological data analysis on Mantle, and how to start analyzing your data.

What you can do with Mantle

Capability	Enables you to…
Notebooks	Interact with your Mantle Database Analyze data with custom Python code Share results with colleagues
Database	Organize data files with experimental metadata in one place
Pipelines	Run powerful Nextflow pipelines using a convenient no-code interface

Open a Mantle Notebook and…

Upload data to Mantle

Select one of the built-in data types, e.g. rnaseq_fastq. Or, if nothing fits, use the custom_file or custom_directory types.

Process instrument data files

Often, biological data is in bespoke file types and/or in an unstructured format, and needs to be processed before it undergo statistical analysis.
Process files using Python or a pipeline.

Explore and discover

Data that is tabular is ready for statistical analysis, machine learning, and plotting.
Use custom Python code with packages like Scanpy, Scipy, PyTorch, Scikit-Learn, etc. in a Mantle Notebook.
Create graphs for the team meeting or publication.

Get started in minutes with one of our templates.