Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91446
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dc.contributorResearch Institute for Future Food-
dc.contributorDepartment of Applied Biology and Chemical Technology-
dc.contributorChinese Mainland Affairs Office-
dc.contributorDepartment of Electronic and Information Engineering-
dc.contributorUniversity Research Facility in Life Sciences-
dc.contributorUniveristy Research Facility in Chemical and Environmental Analysis-
dc.creatorNg, CCAen_US
dc.creatorTam, WMen_US
dc.creatorYin, Hen_US
dc.creatorWu, Qen_US
dc.creatorSo, PKen_US
dc.creatorWong, MYMen_US
dc.creatorLau, FCMen_US
dc.creatorYao, ZPen_US
dc.date.accessioned2021-11-03T06:53:43Z-
dc.date.available2021-11-03T06:53:43Z-
dc.identifier.urihttp://hdl.handle.net/10397/91446-
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.rights© The Author(s) 2021en_US
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Ng, C.C.A., Tam, W.M., Yin, H. et al. Data storage using peptide sequences. Nat Commun 12, 4242 (2021). is available at https://doi.org/10.1038/s41467-021-24496-9en_US
dc.titleData storage using peptide sequencesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume12en_US
dc.identifier.doi10.1038/s41467-021-24496-9en_US
dcterms.abstractHumankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and of high storage density. With the selection of suitable constitutive amino acids, designs of address codes and error-correction schemes to protect the order and integrity of the stored data, optimization of the analytical protocol and development of a software to effectively recover peptide sequences from the tandem mass spectra, we demonstrated the feasibility of this method by successfully storing and retrieving a text file and the music file Silent Night with 40 and 511 18-mer peptides respectively. This method for the first time links data storage with the peptide synthesis industry and proteomics techniques, and is expected to stimulate the development of relevant fields.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNature communications, 2021, v. 12, 4242en_US
dcterms.isPartOfNature communicationsen_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85110443081-
dc.identifier.eissn2041-1723en_US
dc.identifier.artn4242en_US
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.pubStatusPublisheden_US
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