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seattle hub for synthetic biology

read team

advancing the field of in vivo genomic recording through the development of computational pipelines and methods

goals and approach

Developing open, reproducible, and scalable bioinformatics workflows for the data processing and analysis of prime editing mediated recording experiments in both mouse embryonic stem cell cultures and mouse models. The data going into the pipelines includes short and long read next-generation sequencing data, from both bulk and single-cell genomics experiments.

Two women examining scientific equipment in a laboratory with shelves of supplies.
Dr. Lea Starita (left) consults with Florence (Chardon) Abadie, Ph.D. on a genomics dataset.
Developer workspace with code editor and blue terminal window displayed on dual monitors
Computational algorithms to analyze genomic recording next-generation sequencing data.

research details/

pipeline development

Developing open, reproducible, and scalable bioinformatics workflows for the data processing and analysis of prime editing mediated recording experiments in both mouse embryonic stem cell cultures and mouse models. The data going into the pipelines includes short and long read next-generation sequencing data, from both bulk and single-cell genomics experiments.

cell lineage and biological signaling tracking

From data generated in the lab, the Read Team tracks cell lineages and biological signaling events by reading out the identity and sequential order of DNA barcodes that mark these events. By integrating many synthetic DNA TAPE constructs into cells, the team has a large capacity to record cell lineage and biological signaling over many generations of cell divisions. The datasets generated will enable the development of novel computational approaches towards whole organism lineage tracing.

read team

Will Hannon
Florence Chardon
Scientist II, Molecular Biology & Bioinformatics
we acceleratedevelopcatalyzeimpact

science done differently. shared with the world.

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Mapping every cell, connection, and circuit in the brain—openly shared with the world.

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Decoding how cells become tissues, then programming that knowledge into powerful new research tools.

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Revealing the brain's hidden algorithms that transform neural activity into real-world behavior.

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Creating the deepest open reference for the healthy human immune system ever built.

synthetic biology

Engineering cells to record their own histories, transforming how we understand disease over time.

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Big questions, open answers, and science built to be shared.

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Inspiring the next generation of scientists through open science resources.

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Our science is empowering researchers and advancing health worldwide.
advancing science through open, collaborative research
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