scientific-bioinformatics

What problem does it solve?

Provides unified, reusable pipelines for major bioinformatics tasks (scRNA-seq, genome analysis, PPI networks, and metabolomics preprocessing), helping researchers standardize workflows and reproduce results.

Core Features & Use Cases

• Integrates four primary workflows: scRNA-seq QC/normalization/ clustering/ DEG, genome sequence alignment and phylogeny, PPI network construction and centrality analysis, and metabolomics preprocessing (imputation, log transformation, scaling).
• Use Cases: Exp-01, Exp-04, Exp-07, Exp-09 patterns; can adapt to new datasets and tools; supports cross-omics analysis.
• Example scenario: A data scientist applies the SciBioinformatics pipelines to preprocess RNA data, assemble PPIs, and prepare metabolomics data for downstream modeling.

Quick Start

Run the scRNA-seq pipeline on your dataset using Scanpy.