Abstract | ||
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The Human Metabolome Database (HMDB) is currently the most complete and comprehensive curated collection of human metabolite and human metabolism data in the world. It contains records for more than 2180 endogenous metabolites with information gathered from thousands of books, journal articles and electronic databases. In addition to its comprehensive literature-derived data, the HMDB also contains an extensive collection of experimental metabolite concentration data compiled from hundreds of mass spectra (MS) and Nuclear Magnetic resonance (NMR) metabolomic analyses performed on urine, blood and cerebrospinal fluid samples. This is further supplemented with thousands of NMR and MS spectra collected on purified, reference metabolites. Each metabolite entry in the HMDB contains an average of 90 separate data fields including a comprehensive compound description, names and synonyms, structural information, physico-chemical data, reference NMR and MS spectra, biofluid concentrations, disease associations, pathway information, enzyme data, gene sequence data, SNP and mutation data as well as extensive links to images, references and other public databases. Extensive searching, relational querying and data browsing tools are also provided. The HMDB is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community. The HMDB is available at: www.hmdb.ca. |
Year | DOI | Venue |
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2007 | 10.1093/nar/gkl923 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
enzyme,internet,nuclear magnetic resonance,mass spectrometry,quality control,mass spectra,metabolism | Data browsing,Disease Association,Biology,Biochemistry,Human Metabolome Database,Metabolomics,E. Coli Metabolome Database,Data sequences,Computational biology,Metabolite,Genetics | Journal |
Volume | Issue | ISSN |
35 | Database-Issue | 0305-1048 |
Citations | PageRank | References |
83 | 9.02 | 9 |
Authors | ||
40 |
Name | Order | Citations | PageRank |
---|---|---|---|
David S. Wishart | 1 | 2586 | 179.98 |
Dan Tzur | 2 | 520 | 35.02 |
Craig Knox | 3 | 1879 | 110.23 |
Roman Eisner | 4 | 743 | 47.47 |
Anchi Guo | 5 | 1788 | 111.76 |
Nelson Young | 6 | 259 | 21.08 |
Dean Cheng | 7 | 587 | 39.41 |
Kevin Jewell | 8 | 86 | 9.89 |
David Arndt | 9 | 576 | 32.45 |
Summit Sawhney | 10 | 83 | 9.02 |
Chris Fung | 11 | 109 | 9.91 |
Lisa Nikolai | 12 | 83 | 9.02 |
Mike Lewis | 13 | 83 | 9.02 |
Marie-Aude Coutouly | 14 | 83 | 9.02 |
Ian J Forsythe | 15 | 175 | 16.56 |
Peter Tang | 16 | 153 | 16.02 |
Savita Shrivastava | 17 | 981 | 70.58 |
Kevin Jeroncic | 18 | 83 | 9.02 |
Paul Stothard | 19 | 669 | 57.47 |
Godwin Amegbey | 20 | 83 | 9.02 |
David Block | 21 | 87 | 10.25 |
David D. Hau | 22 | 201 | 18.56 |
James Wagner | 23 | 83 | 9.69 |
Jessica Miniaci | 24 | 83 | 9.02 |
Melisa Clements | 25 | 169 | 15.48 |
Mulu Gebremedhin | 26 | 83 | 9.02 |
Natalie Guo | 27 | 83 | 9.02 |
Ying Zhang | 28 | 83 | 9.02 |
Gavin E. Duggan | 29 | 83 | 9.02 |
Glen D. MacInnis | 30 | 83 | 9.02 |
Alim M. Weljie | 31 | 83 | 9.02 |
Reza Dowlatabadi | 32 | 83 | 9.36 |
Fiona Bamforth | 33 | 83 | 9.02 |
Derrick Clive | 34 | 169 | 15.48 |
R. Greiner | 35 | 2261 | 218.93 |
Liang Li | 36 | 172 | 19.95 |
Tom Marrie | 37 | 83 | 9.02 |
B D Sykes | 38 | 123 | 16.05 |
Hans J. Vogel | 39 | 172 | 15.93 |
Lori Querengesser | 40 | 83 | 9.02 |