Drug/Cell-line Browser: interactive canvas visualization of cancer drug/cell-line viability assay datasets. - Qiaonan Duan; Zichen Wang 002; Nicolas F. Fernandez; Andrew D. Rouillard; Christopher M. Tan; Cyril H. Benes; Avi Ma'ayan (Bioinform., 2014)

LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures. - Qiaonan Duan; Corey Flynn; Mario Niepel; Marc Hafner; Jeremy Muhlich; Nicolas F. Fernandez; Andrew D. Rouillard; Christopher M. Tan; Edward Y. Chen; Todd R. Golub; Peter K. Sorger; Aravind Subramanian; et al. (Nucleic Acids Res., 2014)

GEO2Enrichr: browser extension and server app to extract gene sets from GEO and analyze them for biological functions. - Gregory W. Gundersen; Matthew R. Jones; Andrew D. Rouillard; Yan Kou; Caroline D. Monteiro; Axel S. Feldmann; Kevin S. Hu; Avi Ma'ayan (Bioinform., 2015)

Reprint of "Abstraction for data integration: Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction". - Andrew D. Rouillard; Zichen Wang 002; Avi Ma'ayan (Comput. Biol. Chem., 2015)

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins. - Andrew D. Rouillard; Gregory W. Gundersen; Nicolas F. Fernandez; Zichen Wang 002; Caroline D. Monteiro; Michael G. McDermott; Avi Ma'ayan (Database J. Biol. Databases Curation, 2016)

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. - Maxim V. Kuleshov; Matthew R. Jones; Andrew D. Rouillard; Nicolas F. Fernandez; Qiaonan Duan; Zichen Wang 002; Simon Koplev; Sherry L. Jenkins; Kathleen M. Jagodnik; Alexander Lachmann; Michael G. McDermott; Caroline D. Monteiro; et al. (Nucleic Acids Res., 2016)

Pharos: Collating protein information to shed light on the druggable genome. - Dac-Trung Nguyen; Stephen L. Mathias; Cristian Bologa; Søren Brunak; Nicolas F. Fernandez; Anna Gaulton; Anne Hersey; Jayme Holmes; Lars Juhl Jensen; Anneli Karlsson; Guixia Liu; Avi Ma'ayan; et al. (Nucleic Acids Res., 2017)

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets. - Andrew D. Rouillard; Mark Hurle; Pankaj Agarwal (PLoS Comput. Biol., 2018)