The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
MetAlign: Interface-Driven, Versatile Metabolomics Tool for Hyphenated Full-Scan Mass Spectrometry Data Preprocessing
Open accessAbstract
Hyphenated full-scan MS technology creates large amounts of data. A versatile easy to handle automation tool aiding in the data analysis is very important in handling such a data stream. MetAlign softwareas described in this manuscripthandles a broad range of accurate mass and nominal mass GC/MS and LC/MS data. It is capable of automatic format conversions, accurate mass calculations, baseline corrections, peak-picking, saturation and mass-peak artifact filtering, as well as alignment of up to 1000 data sets. A 100 to 1000-fold data reduction is achieved. MetAlign software output is compatible with most multivariate statistics programs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Smith, C. A., Want, E. J., O'Maille, G., Abagyan, R., & Siuzdak, G. (2006) · Analytical Chemistry · doi:10.1021/ac051437y · Cited by 5,262
Highly sensitive feature detection for high resolution LC/MS
Tautenhahn, R., Böttcher, C., & Neumann, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-504 · Cited by 1,185
Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry
De Vos, R. C., Moco, S., Lommen, A., Keurentjes, J. J., Bino, R. J., & Hall, R. D. (2007) · Nature Protocols · doi:10.1038/nprot.2007.95 · Cited by 1,032
Self-citationStein, S. E. (1999) · Journal of the American Society for Mass Spectrometry · doi:10.1016/s1044-0305(99)00047-1 · Cited by 822
Luedemann, A., Strassburg, K., Erban, A., & Kopka, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn023 · Cited by 547
Tikunov, Y., Lommen, A., de Vos, C. H. R., Verhoeven, H. A., Bino, R. J., Hall, R. D., & Bovy, A. G. (2005) · Plant Physiology · doi:10.1104/pp.105.068130 · Cited by 513
Self-citationThe genetics of plant metabolism
Keurentjes, J. J. B., Fu, J., de Vos, C. H. R., Lommen, A., Hall, R. D., Bino, R. J., van der Plas, L. H. W., Jansen, R. C., Vreugdenhil, D., & Koornneef, M. (2006) · Nature Genetics · doi:10.1038/ng1815 · Cited by 499
Self-citationProcessing methods for differential analysis of LC/MS profile data
Katajamaa, M., & Orešič, M. (2005) · BMC Bioinformatics · doi:10.1186/1471-2105-6-179 · Cited by 400
MET-IDEA: Data Extraction Tool for Mass Spectrometry-Based Metabolomics
Broeckling, C. D., Reddy, I. R., Duran, A. L., Zhao, X., & Sumner, L. W. (2006) · Analytical Chemistry · doi:10.1021/ac0521596 · Cited by 275
Tolstikov, V. V., Lommen, A., Nakanishi, K., Tanaka, N., & Fiehn, O. (2003) · Analytical Chemistry · doi:10.1021/ac034716z · Cited by 260
Self-citation
Cited by
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis
Tsugawa, H., Cajka, T., Kind, T., Ma, Y., Higgins, B., Ikeda, K., Kanazawa, M., VanderGheynst, J., Fiehn, O., & Arita, M. (2015) · Nature Methods · doi:10.1038/nmeth.3393 · Cited by 3,397
The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis
Xia, J., & Wishart, D. S. (2016) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.11 · Cited by 1,544
Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T. (2011) · Metabolomics · doi:10.1007/s11306-010-0254-3 · Cited by 353
bioinformatics tools for mass spectroscopy-based metabolomic data processing and analysis
Sugimoto, M., Kawakami, M., Robert, M., Soga, T., & Tomita, M. (2012) · Current Bioinformatics · doi:10.2174/157489312799304431 · Cited by 307
Metadata
- Authors
- Lommen, A.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-03-20
- Volume
- 81
- Issue
- 8
- Pages
- 3079-3086
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2053300710
- Cited by
- 734
- References
- 18
- FWCI
- 17.88
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MetAlign: Interface-Driven, Versatile Metabolomics Tool for Hyphenated Full-Scan Mass Spectrometry Data Preprocessing. https://app.cochat.ai/papers/10.1021/ac900036d
- The paper
- Lommen, A. (2009). MetAlign: Interface-Driven, Versatile Metabolomics Tool for Hyphenated Full-Scan Mass Spectrometry Data Preprocessing. Analytical Chemistry. https://doi.org/10.1021/ac900036d
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
