- Abstract:
-
Realizing the potential of the diverse chemistries of natural products in biotechnology and medicine has been limited by manual analysis of experimental data through mining mass spectrometry knowledge solely captured in literature. While mass spectrometry techniques have proven well-suited for high-throughput analyses of natural products, there is no infrastructure for researchers to systematically share knowledge or analyze data. We present Global Natural Products Social molecular networking...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted manuscript
- Files:
-
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(pdf, 3.7mb)
-
- Publisher copy:
- 10.1038/nbt.3597
-
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- Publisher:
- Nature Publishing Group Publisher's website
- Journal:
- Nature Biotechnology Journal website
- Volume:
- 34
- Pages:
- 828–837
- Publication date:
- 2016-08-09
- DOI:
- EISSN:
-
1546-1696
- ISSN:
-
1087-0156
- URN:
-
uuid:083d9dcc-b906-40ee-accf-4f6e72bb1b50
- Source identifiers:
-
633493
- Local pid:
- pubs:633493
- Copyright holder:
- Wang et al.
- Copyright date:
- 2016
- Notes:
- Author(s) retain copyright; published by Nature Publishing Group under license. This is the accepted manuscript version of the article. The final version, with a full list of authors and funder information, is available online from Nature at: [10.1038/nbt.3597]
Journal article
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
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