Our science technology team accelerates the pace of biomedical research by building models, methods, tools, applications, and datasets for scientists. Our technology-driven approach helps researchers come to meaningful conclusions about human biology — spurring new discoveries about the molecular underpinnings of health and disease.
We’re leveraging AI to build virtual cells that scientists can use to understand how cells work in healthy and diseased states, which will have broad applications for biomedical research, disease diagnosis and therapeutic development. We believe this effort will deepen the scientific community’s understanding of human health and disease at a molecular level.
Chan Zuckerberg ID (CZ ID) is an open source metagenomics analysis platform that helps researchers rapidly identify new and emerging infectious diseases. CZ ID processes sequencing data to provide actionable information on the state of pathogens in a given set of samples. This allows scientists to make data-driven decisions about when to deploy antibiotics, where to prioritize immunization campaigns, how to shape vector-borne disease surveillance and control efforts, and more.
Chan Zuckerberg GEN EPI (CZ GEN EPI) is an open source genomic epidemiology analysis platform for public health departments to investigate disease outbreaks and perform pathogen surveillance using genomic data, starting with SARS-CoV-2. CZ GEN EPI helps public health laboratorians, epidemiologists and public health officers track outbreaks and variants, and gain an overall picture of how pathogens are spreading in their community. These insights help drive public health interventions that can prevent and contain outbreaks more effectively.
Chan Zuckerberg CELL by GENE (CZ CELLxGENE) is an open source platform that allows scientists to access, analyze and annotate high-dimensional single-cell data at scale, so they can quickly surface new insights that could lead to discoveries in treating disease. Through standardization and integration of published single-cell datasets, the platform’s database enables scientists to answer questions about the function of cells in seconds, instead of executing experiments that take years.
Built by the CZI imaging techniology team, the napari hub helps researchers find high-quality image analysis methods that solve their unique data analysis needs. The napari hub hosts a growing ecosystem of open source, community-built napari plugins to help researchers find trusted, relevant, high-quality analysis methods that they can use to quantify their data and gain insights into biology.
Beyond building and disseminating technology in collaboration with the science community, CZI Science also works with many community-led projects that we partner with or support through grants to help advance our mission.
CZI’s Essential Open Source Software for Science program supports software maintenance, growth, development, and community engagement for over a hundred critical open source tools used by scientists globally.
We enable and scale patient-driven research by supporting and amplifying the work of rare disease patient organizations by providing them with tools to leverage patient data, scientific knowledge, and researcher and physician connections in order to accelerate research toward new treatments and cures.
Scientists post preprints, or scientific papers published prior to peer review, on servers such as bioRxiv and medRxiv, which dramatically accelerates their ability to access information and build on each others’ work.
Protocols.io is a platform that allows researchers to discover and openly share up-to-date scientific methods.
Work With Us
In addition to collaboration within an engineering project, collaboration across domains is fundamental to the way we work at CZI. Technology is wonderful and can bring about amazing change, but including domain expertise when discussing solutions is imperative.
— Arathi Mani,
engineering manager for single-cell biology
