Name
Abstract | ||
|---|---|---|
The application of emerging metabolomics technologies to the comprehensive investigation of cellular biochemistry has been limited by bottlenecks in data processing, particularly noise filtering and metabolite identification. IDEOM provides a user-friendly data processing application that automates filtering and identification of metabolite peaks, paying particular attention to common sources of noise and false identifications generated by liquid chromatographymass spectrometry (LC-MS) platforms. Building on advanced processing tools such as mzMatch and XCMS, it allows users to run a comprehensive pipeline for data analysis and visualization from a graphical user interface within Microsoft Excel, a familiar program for most biological scientists. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/bioinformatics/bts069 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Data processing,Chromatography liquid,Visualization,Computer science,Filter (signal processing),Metabolomics,Software,Graphical user interface,Bioinformatics,Biological scientists | Journal | 28 |
Issue | ISSN | Citations |
7 | 1367-4803 | 6 |
PageRank | References | Authors |
0.63 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Darren J. Creek | 1 | 14 | 1.64 |
| Andris Jankevics | 2 | 11 | 1.94 |
| Karl E. V. Burgess | 3 | 7 | 0.99 |
| Rainer Breitling | 4 | 663 | 47.19 |
| Barrett Michael P | 5 | 56 | 6.91 |