Transcriptomics-based drug discovery

Web Portals

1. OCTAD Drug Repurposing Portal

Repurpose drugs targeting precise cancer patient populations based on reversal of disease gene expression.

2. GPS Novel Compound Screening Portal

Virtual compound screening based on gene expression.

3. TransCell Portal

Predict 350,000 genomic and cellular response features based on gene expression.

R/Python Packages

1. octad Bioconductor

Repurpose drugs targeting precise cancer patient populations based on reversal of disease gene expression and a list of common bioinformatics modules such as DE analysis and pathway enrichment analysis.

2. sigatlas

Deconvolute cell composition of bulk RNA-seq samples based on reference normal cell types derived from tissue single cell atlas.

3. SPIDER

Large-scale prediction of cell surface protein abundance from single-cell transcriptomics.

4. bsAbsFinder

Bispecific antibody target identification using bulk, single cell, and spatial transcriptomics.

5. ViralCellDetector

Detect viral infection in cell line samples based on transcriptomics.

The apps and packages are developed and maintained by the Chen Lab at Michigan State Univeristy. Copyright reserved.