Led by Angela Oliveira Pisco (Quantitative Cell Science) and Joan Wong (Infectious Disease), the Data Science Platform is a team of computer scientists, bioinformaticians, statisticians, and software engineers who develop analytical and bioinformatic tools, imaging tools, and software.
The genomics and sequencing team led by Norma Neff develops and deploys state-of-the-art protocols in single-cell sequencing, including iSeq, 10X, Oxford Nanopore, and PacBio, to generate high-quality datasets for cell-type identification and functional analyses. The team also develops and optimizes spatial transcriptomic analyses.
Led by Rafael Gómez-Sjöberg, the bioengineering team designs and builds unique custom instruments that enable novel projects and accelerate the pace of discovery—from rugged, battery-powered portable devices for diagnosing an infectious disease in remote areas, to an automated multichannel protein purification device.
Shalin Mehta‘s computational microscopy team builds microscopes with new imaging modalities, and develops machine learning and computational approaches to quantitatively analyze and interpret imaging data.
Led by Josh Elias, the mass spectrometry team develops and deploys tools with higher throughput and greater sensitivity to analyze the metabolome, proteome, and post-translational modifications associated with complex biological samples.
An interactive, multi-dimensional image viewer for Python, napari was co-founded by Juan Nuñez-Iglesias, and is a collaboration between CZ Biohub, the Chan Zuckerberg Initiative Science Technology team, and many other scientists and computational biologists.
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This collaborative project provides a molecular characterization of cellular diversity in the human body.
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