integrated omics

approaches to rationally integrate diverse types of high-throughput data.

cell models

characterizing the non-linear processes that govern how cells behave and misbehave.

biomarker discovery

understanding the processes that give rise to biomarkers and govern their potential utility.

tumor evolution

characterizing how evolutionary forces (e.g. microenvironment, or drug treatment) impact tumor composition.

proteomics technology

experimental and computational approaches to improve the throughput and sensitivity of proteomics technologies

proteoWizard

a platform to accelerate the development of proteomics analysis tools.

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overview

The Mallick Lab is focused on using integrative, multi-omic approaches to model the processes that govern proteome dynamics and to use those models to discover cancer biomarkers and mechanisms.

news

check out our latest papers on

- ProteoWizard (Nature Biotech)

- Cell Squishyness & Sliminess & Metastatic Potential (PNAS)

- Physical Sciences Characterization of Metastasis (Nature Scientific Reports)

- SWATH MS Libraries (Nature Protocols)

 

Canary Center @ Stanford