Towards practical, high-capacity, low-maintenance information storage in synthesized DNA

By Nick Goldman, Paul Bertone, Siyuan Chen, Christophe Dessimoz, E. Leproust, Botond Sipos, Ewan Birney. Nature, 2013

1,196 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Molecular digital data storage using DNA (2019, methodology): “Data for Goldman et al.(20) are available from https://www.”
A Rewritable, Random-Access DNA-Based Storage System (2015, methodology): “We observe that the cost of sequence synthesis in our storage model is signiﬁcantly higher than the corresponding cost of the prototype in [4], as blocks of length 1000 bps are still diﬃcult to synthesize.”
Random access in large-scale DNA data storage (2018, methodology): “The thermocycling protocol was: (1) 95 °C for 3 min, (2) 98 °C for 20 s, (3) 62 °C for 20 s, (4) 72 °C for 15 s, then repeat steps 2–4 as needed.”
A DNA-Based Archival Storage System (2016, methodology): “Sequences can also degrade while stored, further compromising data integrity.”