CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra.

CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra.
复制标题

DOI:
10.1093/nar/gku436
复制
发表时间:
2014-07
影响因子:
14.9
通讯作者:
Wishart D
Wishart D
中科院分区:
生物学2区
文献类型:
--
作者:
Allen F;Pon A;Wilson M;Greiner R;Wishart D

文献摘要

参考文献

被引文献

相似文献

CFM-ID是一个web服务器,支持与串联质谱(MS/MS)解释相关的三项任务,用于自动鉴定代谢物:标注已知化学结构的光谱峰;预测给定化学结构的光谱和假定的代谢物鉴定-预测目标光谱的可能候选结构的排名。用于这些任务的算法基于竞争碎片建模(CFM),这是一种最近引入的MS/MS碎片过程的概率生成模型,该模型使用机器学习技术从数据中学习其参数。这些算法已经在多个数据集上进行了广泛的测试,并被证明优于现有的方法,如MetFrag和FingerId。这个web服务器为使用这些算法提供了一个简单的界面,并提供了结果注释、光谱和结构的图形显示。CFM-ID可在http://cfmid.wishartlab.com免费获得。
CFM-ID is a web server supporting three tasks associated with the interpretation of tandem mass spectra (MS/MS) for the purpose of automated metabolite identification: annotation of the peaks in a spectrum for a known chemical structure; prediction of spectra for a given chemical structure and putative metabolite identification—a predicted ranking of possible candidate structures for a target spectrum. The algorithms used for these tasks are based on Competitive Fragmentation Modeling (CFM), a recently introduced probabilistic generative model for the MS/MS fragmentation process that uses machine learning techniques to learn its parameters from data. These algorithms have been extensively tested on multiple datasets and have been shown to out-perform existing methods such as MetFrag and FingerId. This web server provides a simple interface for using these algorithms and a graphical display of the resulting annotations, spectra and structures. CFM-ID is made freely available at http://cfmid.wishartlab.com.
DOI: 10.1186/1471-2105-11-148
发表时间: 2010-03-22
期刊: BMC bioinformatics
影响因子: 3
作者:
Wolf S;Schmidt S;Müller-Hannemann M;Neumann S
通讯作者: Neumann S
DOI: 10.1016/j.trac.2004.11.021
发表时间: 2005-04-01
影响因子: 13.1
作者:
Dunn, WB;Ellis, DI
通讯作者: Ellis, DI
DOI: 10.1093/nar/gks1065
发表时间: 2013-01
影响因子: 14.9
作者:
Wishart DS;Jewison T;Guo AC;Wilson M;Knox C;Liu Y;Djoumbou Y;Mandal R;Aziat F;Dong E;Bouatra S;Sinelnikov I;Arndt D;Xia J;Liu P;Yallou F;Bjorndahl T;Perez-Pineiro R;Eisner R;Allen F;Neveu V;Greiner R;Scalbert A
通讯作者: Scalbert A
DOI: 10.1002/rcm.1196
发表时间: 2003-01-01
影响因子: 2
作者:
Ma, B;Zhang, KZ;Lajoie, G
通讯作者: Lajoie, G
DOI: 10.1038/nbt.2348
发表时间: 2012-09
影响因子: 46.9
作者:
通讯作者: --