Pegasus

Pegasus is a python package that takes gene-count matrices as input and performs a wide range of analyses, such as –

  • Quality control;
  • Highly variable gene selection;
  • Batch correction;
  • Principal component analysis (PCA);
  • k-nearest neighbor (kNN) graph construction;
  • Diffusion map;
  • Community-graph based clustering;
  • Visualization on t-SNE, UMAP, and force-directed layout (FLE) embeddings;
  • Differential expression, cluster-specific marker detection;
  • Marker-based cell type annotation.

Click here to read Pegasus documentation.

Pegasus is released on PyPI as a Python package.

Publications:

Bo Li
Bo Li
Assistant Professor of Medicine and Director of Bioinformatics and Computational Biology Program

Dr. Li’s research focuses on developing reliable computational tools to empower novel analyses of various Next-Generation Sequencing (NGS) data, and in particular, single-cell genomics data.

Yiming Yang
Yiming Yang
Computational Scientist

Yiming Yang is a computational scientist in Li Lab.