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Read Team

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

The Seattle Hub for Synthetic Biology is a collaboration between Allen Institute, Chan Zuckerberg Initiative and the University of Washington.

Goals and Approach

Two scientists at work
Dr. Lea Starita (left) consults with Florence (Chardon) Abadie, Ph.D. on a genomics dataset.

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 computer monitors with code on the screen

Computational algorithms to analyze genomic recording next-generation sequencing data.

Research Details

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.

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.

Science Programs at Allen Institute