PeakML/mzMatch: a file format, Java library, R library, and tool-chain for mass spectrometry data analysis.

By R. Scheltema, A. Jankevics, R. Jansen, M. Swertz, Rainer Breitling. Analytical Chemistry, 2011

326 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/acfea811bf5531c810f61285f8a89878142af550

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sebastian Böcker

In Ecology

1. Sebastian Böcker
2. Kerstin Scheubert
3. Franziska Hufsky
4. David S. Wishart

In Molecular Biology

1. Mark R. Viant
2. Sebastian Böcker
3. James William Allwood
4. Kerstin Scheubert
5. Franziska Hufsky
6. Steffen Neumann
7. Warwick B. Dunn
8. T. Eisenberg

Citations in the corpus

• IPO: a tool for automated optimization of XCMS parameters (2015, methodology): “A number of software packages for processing LC-MS data have already been developed for data sets of samples that do not rely on labeling [3-12].”
• Computational mass spectrometry for small molecules (2013, background): “R [249], enables noise filtering based on [249,250] and allows for database matching and further statistics.”
• Non-targeted UHPLC-MS metabolomic data processing methods: a comparative investigation of normalisation, missing value imputation, transformation and scaling (2016, methodology): “Some software apply gap filling algorithms (Scheltema et al. 2011; Pluskal et al. 2010) though the majority of software do not apply these algorithms, including XCMS which is predominantly applied by the metabolomics community (in the period between April 2015 and March 2016 the package XCMSwas down”