数据整理
原始数据
鉴定(生物学)
数据科学
数据共享
万维网
计算机科学
生物
医学
植物
病理
程序设计语言
替代医学
作者
Mingxun Wang,Jeremy Carver,Vanessa V. Phelan,Laura M. Sanchez,Neha Garg,Yao Peng,Don D. Nguyen,Jeramie D. Watrous,Clifford A. Kapono,Tal Luzzatto‐Knaan,Carla Porto,Amina Bouslimani,Alexey V. Melnik,Michael J. Meehan,Wei-Ting Liu,Max Crüsemann,Paul D. Boudreau,Eduardo Esquenazi,Mario Sandoval‐Calderón,Roland D. Kersten
摘要
GNPS is an open-access community-curated analysis platform for sharing natural product mass spectrometry data that enables continuous, automatic reanalysis of deposited 'living' data sets. The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu ), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.
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