Science and Nature news Data availability
All data supporting the findings of this study are available within the article and its Supplementary Information or will be made available from the authors upon request. Sequencing data associated with this study are available on National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) (PRJNA1047666)34.
Code availability
Custom code to process or analyze data from this study is available via GitHub (https://github.com/Shipman-Lab/Retron-Census)35.
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Acknowledgements
This work was supported by funding from the National Science Foundation (MCB 2137692), the National Institute of Biomedical Imaging and Bioengineering (R21EB031393) and the National Institute of General Medical Sciences (1DP2GM140917), with research support from Retronix Bio. S.L.S. is a Chan Zuckerberg Biohub San Francisco Investigator and acknowledges additional funding support from the L.K. Whittier Foundation and the Pew Biomedical Scholars Program. A.G.-D. is supported by the California Institute of Regenerative Medicine (CIRM) scholar program. S.C.L. is supported by a Berkeley Fellowship for Graduate Study. R.F.F. is supported by a UCSF Discovery Fellowship. K.D.C. is supported by a National Science Foundation Graduate Research Fellowship and a UCSF Discovery Fellowship. We would like to thank A. Pico and the Gladstone Bioinformatics Core for assistance with data database management, as well as K. Zhang and D. Wen for comments on the manuscript.
Author information
Author notes
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These authors contributed equally: Asim G. Khan, Matías Rojas-Montero, Alejandro González-Delgado.
Authors and Affiliations
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Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
Asim G. Khan, Matías Rojas-Montero, Alejandro González-Delgado, Santiago C. Lopez, Rebecca F. Fang, Kate D. Crawford & Seth L. Shipman
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Graduate Program in Bioengineering,
