Projects

Our lab uses systems biology to understand how dysfunctional signaling states drive cancer heterogeneity and therapeutic response. By integrating multi-omics data with computational and experimental models, we identify mechanisms and vulnerabilities that enable precision cancer treatment. Current projects include:

Defining mechanistic basis for metabolic heterogeneity in tumors
Identifying therapeutic vulnerabilities and risk-classification
Determining links between altered epigenome and tumorigenesis

This page highlights software tools, datasets, and research-driven resources developed to support data analysis, reproducibility, and integrative modeling. The projects span methodological development, computational workflows, and applied analyses, with an emphasis on transparency, usability, and impact across biomedical and quantitative research. We welcome feedback, comments on the usability of these tools.

Featured

CRISPR Summary & Visualization A simple web-tool to visualize and summarize genome-wide CRISPR data

This tool will allow you to visualize your CRISPR screen data once you have the count table and gene summary table obtained by Mageck.

resource tool

HexSM Predictor Predict HexSM lipid subtypes from gene expression data (Paudel et al. Blood Adv, 2024)

SVM classifier to predict HexSM lipid subtype using normalized gene expression data

software resource

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Data Explorer Summary of all available data in AML

List of available datasets for AML within NCI funded P01 within UVA/PSU/Wake/MSKCC

resource summary

RNA-to-Protein Relationship How does mRNA abundance relate to protein abundances?

Developed by Janes lab to examine relationship between mRNA and protein.

software resource