Papers: 10.1093/gigascience/gix037
https://doi.org/10.1093/gigascience/gix037
From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics
Cited by: 48
Author(s): Leonardo Perez de Souza, Thomas Naake, Takayuki Tohge, Alisdair R. Fernie
Published: about 8 years ago
Software Mentions 12
bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry dataPapers that mentioned: 429
Very Likely Science (75)
bioconductor: Metab
Metab: An R Package for a High-Throughput Analysis of Metabolomics Data Generated by GC-MS.Papers that mentioned: 8
Likely Science (43)
bioconductor: MetCirc
Navigating mass spectral similarity in high-resolution MS/MS metabolomics data metabolomics dataPapers that mentioned: 3
Very Likely Science (90)
bioconductor: MSPrep
Package for Summarizing, Filtering, Imputing, and Normalizing Metabolomics DataPapers that mentioned: 4
Very Likely Science (100)
bioconductor: RMassBank
Workflow to process tandem MS files and build MassBank recordsPapers that mentioned: 10
Very Likely Science (90)
Very Likely Science (83)
bioconductor: TargetSearch
A package for the analysis of GC-MS metabolite profiling dataPapers that mentioned: 34
Very Likely Science (100)
Very Likely Science (75)
cran: RAMClustR
Mass Spectrometry Metabolomics Feature Clustering and InterpretationPapers that mentioned: 11
Very Likely Science (100)
pypi: ISA
ISA (Independent Statistics Aggregator) collects node statistics for a cluster of nodes.Papers that mentioned: 137
Very Likely Science (75)
pypi: IsoCor
IsoCor: Isotope Correction for mass spectrometry labeling experimentsPapers that mentioned: 42
Very Likely Science (100)
Very Likely Science (90)