Alex Pico’s lab focuses on understanding biological systems through the lens of molecular networks. Technology innovations continue to drive the quantity and diversity of data that can be analyzed through network analysis. The lab develops software tools and resources to analyze, visualize, and explore biomedical data in the context of these networks, with applications across neurodegenerative, immunological, and cardiovascular diseases, as well as diverse cancers.
In addition to their own research program, Pico and his team collaborate broadly with Gladstone, UC San Francisco, and other academic and industry groups as a Bioinformatics Core facility. Dedicated to open science, the Pico Lab makes all its software and resources open source and open access, and distributes them freely for use and reuse by all.
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Alex Pico’s lab is focused on developing innovative technologies and resources that can be used across disciplines to make an impact in diverse fields. As leaders in pathway modeling and data visualization, his group pushes for aggressive open access and transparency, unlocking knowledge from tens of thousands of published pathway figures through WikiPathways and the Pathway Figures found through Optical Character Recognition (PFOCR) portal, and integrating molecular interaction information with omics data through Cytoscape. Recently, these efforts have led to new insights into COVID-19 pathology by establishing a map of virus-host interactions, and highlighted targetable mechanisms in glioblastoma and head and neck cancer.
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