Name
Abstract | ||
|---|---|---|
Mass spectrometry (MS) is widely used for isotopic studies of metabolism and other (bio)chemical processes. Quantitative applications in systems and synthetic biology require to correct the raw MS data for the contribution of naturally occurring isotopes. Several tools are available to correct low-resolution MS data, and recent developments made substantial improvements by introducing resolution-dependent correction methods, hence opening the way to the correction of high-resolution MS (HRMS) data. Nevertheless, current HRMS correction methods partly fail to determine which isotopic species are resolved from the tracer isotopologues and should thus be corrected. We present an updated version of our isotope correction software (IsoCor) with a novel correction algorithm which ensures to accurately exploit any chemical species with any isotopic tracer, at any MS resolution. IsoCor v2 also includes a novel graphical user interface for intuitive use by end-users and a command-line interface to streamline integration into existing pipelines. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1093/bioinformatics/btz209 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Computer science,Remote sensing,Isotope | Journal | 35 |
Issue | ISSN | Citations |
21 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre Millard | 1 | 13 | 3.05 |
| Baudoin Delépine | 2 | 0 | 0.68 |
| Matthieu Guionnet | 3 | 0 | 0.34 |
| Maud Heuillet | 4 | 0 | 0.34 |
| Floriant Bellvert | 5 | 0 | 0.34 |
| Fabien Letisse | 6 | 7 | 1.47 |