Title |
MetaboMiner – semi-automated identification of metabolites from 2D NMR spectra of complex biofluids
|
---|---|
Published in |
BMC Bioinformatics, November 2008
|
DOI | 10.1186/1471-2105-9-507 |
Pubmed ID | |
Authors |
Jianguo Xia, Trent C Bjorndahl, Peter Tang, David S Wishart |
Abstract |
One-dimensional (1D) 1H nuclear magnetic resonance (NMR) spectroscopy is widely used in metabolomic studies involving biofluids and tissue extracts. There are several software packages that support compound identification and quantification via 1D 1H NMR by spectral fitting techniques. Because 1D 1H NMR spectra are characterized by extensive peak overlap or spectral congestion, two-dimensional (2D) NMR, with its increased spectral resolution, could potentially improve and even automate compound identification or quantification. However, the lack of dedicated software for this purpose significantly restricts the application of 2D NMR methods to most metabolomic studies. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 1% |
Netherlands | 2 | 1% |
Switzerland | 2 | 1% |
Germany | 1 | <1% |
Colombia | 1 | <1% |
Slovakia | 1 | <1% |
Denmark | 1 | <1% |
Russia | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 175 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 53 | 28% |
Student > Ph. D. Student | 29 | 16% |
Student > Master | 19 | 10% |
Student > Doctoral Student | 17 | 9% |
Student > Bachelor | 15 | 8% |
Other | 31 | 17% |
Unknown | 23 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 56 | 30% |
Chemistry | 43 | 23% |
Biochemistry, Genetics and Molecular Biology | 20 | 11% |
Computer Science | 12 | 6% |
Medicine and Dentistry | 7 | 4% |
Other | 19 | 10% |
Unknown | 30 | 16% |