Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Siena Dumas Ang"'
Autor:
Yuan-Jyue Chen, Christopher N. Takahashi, Lee Organick, Callista Bee, Siena Dumas Ang, Patrick Weiss, Bill Peck, Georg Seelig, Luis Ceze, Karin Strauss
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
DNA is an attractive digital data storing medium due to high information density and longevity. Here the authors use millions of sequences to investigate inherent biases in DNA synthesis and PCR amplification.
Externí odkaz:
https://doaj.org/article/8b64e3fe84db42aa8ace116152d958c2
Autor:
Lee Organick, Yuan-Jyue Chen, Siena Dumas Ang, Randolph Lopez, Xiaomeng Liu, Karin Strauss, Luis Ceze
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
The physical limits and reliability of PCR-based random access of DNA encoded data is unknown. Here the authors demonstrate reliable file recovery from as few as ten copies per sequence, providing a data density limit of 17 exabytes per gram.
Externí odkaz:
https://doaj.org/article/19f23bb6a4994c2e9220827cf7e5fcf6
Autor:
Randolph Lopez, Yuan-Jyue Chen, Siena Dumas Ang, Sergey Yekhanin, Konstantin Makarychev, Miklos Z Racz, Georg Seelig, Karin Strauss, Luis Ceze
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
A major bottleneck in using DNA as a data storage medium is the slowness of sequencing. Here the authors decode 1.67 megabytes of information using a portable nanopore platform with an assembly strategy for increased throughput.
Externí odkaz:
https://doaj.org/article/e07599e4d5704cedbc045adf5c88720f
Autor:
Lee Organick, Yuan-Jyue Chen, Siena Dumas Ang, Randolph Lopez, Xiaomeng Liu, Karin Strauss, Luis Ceze
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/a0ef4305cd634a1885489c8b51ba2fac
Autor:
Christopher N. Takahashi, Kendall Stewart, Karin Strauss, Yuan-Jyue Chen, Bill Peck, Georg Seelig, Luis Ceze, Lee Organick, Siena Dumas Ang, Patrick Weiss
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications
Nature Communications
DNA has recently emerged as an attractive medium for archival data storage. Recent work has demonstrated proof-of-principle prototype systems; however, very uneven (biased) sequencing coverage has been reported, which indicates inefficiencies in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb006ed8944136bd6ee1fdeecff0d6ed
http://link.springer.com/article/10.1038/s41467-020-16958-3
http://link.springer.com/article/10.1038/s41467-020-16958-3
Autor:
Karin Strauss, Luis Ceze, Randolph Lopez, Lee Organick, Siena Dumas Ang, Xiaomeng Liu, Yuan-Jyue Chen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
Nature Communications
Nature Communications
Synthetic DNA is gaining momentum as a potential storage medium for archival data storage. In this process, digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later retrieval. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fec17aff3ee2b81ac4604eb0a4240d
https://doaj.org/article/19f23bb6a4994c2e9220827cf7e5fcf6
https://doaj.org/article/19f23bb6a4994c2e9220827cf7e5fcf6
Autor:
A. Xavier Kohll, Lee Organick, Rachel McAmis, Weida D. Chen, Siena Dumas Ang, Luis Ceze, Karin Strauss, Robert N. Grass, Bichlien H. Nguyen
Publikováno v:
Small methods. 5(5)
Synthetic DNA has recently risen as a viable alternative for long‐term digital data storage. To ensure that information is safely recovered after storage, it is essential to appropriately preserve the physical DNA molecules encoding the data. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac721303e2217621a861e2460ccb2ee9
https://pubmed.ncbi.nlm.nih.gov/34928102
https://pubmed.ncbi.nlm.nih.gov/34928102
Autor:
Rachel McAmis, A. Xavier Kohll, Karin Strauss, Robert N. Grass, Siena Dumas Ang, Weida D. Chen, Lee Organick, Luis Ceze, Bichlien H. Nguyen
Synthetic DNA has recently risen as a viable alternative for long-term digital data storage. To ensure that information is safely recovered after storage, it is essential to appropriately preserve the physical DNA molecules encoding the data. While p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b7183a3b3fa1834d336ca73a665f8f
https://doi.org/10.1101/2020.09.19.304014
https://doi.org/10.1101/2020.09.19.304014
Synthetic DNA has been gaining momentum as a potential storage medium for archival data storage1–9. Digital information is translated into sequences of nucleotides and the resulting synthetic DNA strands are then stored for later individual file re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffbb9ce1c37c910eb6394b771ac42e5e
https://doi.org/10.1101/565150
https://doi.org/10.1101/565150
Publikováno v:
Transactions of the Association for Computational Linguistics. 3:585-597
This paper formalizes the problem of solving multi-sentence algebraic word problems as that of generating and scoring equation trees. We use integer linear programming to generate equation trees and score their likelihood by learning local and global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18f4995bcfe188df989686bc8eb30e1
https://doi.org/10.1162/tacl_a_00160
https://doi.org/10.1162/tacl_a_00160