Project Structure
Learn about the 5 sections of every Panomics project.
All Panomics projects share a common structure that makes collaborative analysis straightforward.
Project Metadata
The project metadata can be split into 2 categories, each serving a specific purpose.
Direct Metadata
This helps team members understand what the project is all about. It includes:
title
external ID (e.g.: GEO identifier)
description
overall design
tags
Inherited Metadata
This is the metadata inherited from the samples associated with the project. It can include information about the tissue, disease, treatment compounds, etc. Projects can be filtered using any of the metadata fields configured at the organization level.
Analyses
This is where all project analyses reside. From this section, users can:
list and filter all project analyses
mark analyses as done
publish or unpublish analyses
view audit trail
export analyses as cell atlases (applicable only to single cell analyses)
delete analyses
For more details, visit the dedicated pages.
Samples
This is where all project samples reside.
From this section, users can:
list and filter all project samples
import new samples
remove samples from the project
upload/edit metadata
change the samples' status (see sample lifecycle)
create new analyses
For more details, visit the dedicated pages.
Assets
The Assets page functions as a versatile file explorer within Panomics. It allows users to manage project files by creating folders, uploading, downloading, and moving files.
For compute results, it offers a read-only view, with the option to copy analysis results to the JupyterLab or RStudio mounts.
The JupyterLab and RStudio mounts connect directly to the runtime’s shared drive, providing a secure way to transfer files to or from the project.
Readme
The readme is a collaborative document used to describe the analytical decisions made, write down hypothesis, or ask for feedback.
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