STARS

Scientific Standards for Transcriptomic Analysis Reporting: Ensuring reproducibility in single-cell and spatial genomics

Version 2.0 Enhanced

๐Ÿงฌ Pre-loaded Example Dataset

Example Study: Single-cell RNA sequencing analysis of human brain organoids reveals developmental trajectories and cell type specification patterns. This example demonstrates a complete STARS-compliant workflow from sample preparation through computational analysis.

Sample Type:
Human brain organoids
Technology:
10X Genomics 3' v3
Cells:
~15,000 cells
Analysis:
Seurat + Cell Ranger

๐Ÿ“Š Compliance Progress

Complete all essential fields for STARS compliance
Essential 0/15
Recommended 0/12

๐Ÿ”ฌ Study Information

Essential
Provide a clear, descriptive title that summarizes your research
Specify the type of transcriptomic analysis performed
Clearly state your primary research objective
Comma-separated keywords for your study

๐Ÿงช Sample Information

Essential
Total number of cells/spots analyzed
Primary tissue or cell type studied
Species of origin for samples
Sequencing platform and chemistry

๐Ÿ” Quality Control

Essential
Minimum number of genes detected per cell
Maximum percentage of mitochondrial gene expression
Minimum UMI count per cell
Method used for doublet detection

โš™๏ธ Analysis Pipeline

Essential
Normalization method applied to expression data
Algorithm used for cell clustering
Resolution parameter for clustering
Methods used for dimensionality reduction (hold Ctrl/Cmd for multiple)

๐Ÿ’ป Software & Environment

Essential
Main software package used for analysis
Version number of primary software
Programming language and runtime environment
Version of programming language runtime

๐Ÿ“‚ Data & Code Availability

Essential
Where and how data can be accessed
Where analysis code can be accessed