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notame

This is the released version of notame; for the devel version, see notame.

All versions 3.24 (devel), 3.23 (release), 3.22

Workflow for non-targeted LC-MS metabolic profiling


Bioconductor version: Release (3.23)

Provides functionality for untargeted LC-MS metabolomics research as specified in the associated protocol article in the 'Metabolomics Data Processing and Data Analysis—Current Best Practices' special issue of the Metabolites journal (2020). This includes tabular data preprocessing and quality control, uni- and multivariate analysis as well as quality control visualizations, feature-wise visualizations and results visualizations. Raw data preprocessing and functionality related to biological context, such as pathway analysis, is not included.

Author: Anton Klåvus [aut, cph] ORCID iD ORCID: 0000-0003-2612-0230 , Jussi Paananen [aut, cph] ORCID iD ORCID: 0000-0001-5100-4907 , Oskari Timonen [aut, cph] ORCID iD ORCID: 0000-0002-6317-6260 , Atte Lihtamo [aut], Vilhelm Suksi [aut, cre] ORCID iD ORCID: 0009-0005-1108-518X , Retu Haikonen [aut] ORCID iD ORCID: 0000-0003-0830-3850 , Leo Lahti [aut] ORCID iD ORCID: 0000-0001-5537-637X , Kati Hanhineva [aut] ORCID iD ORCID: 0000-0001-6834-7375 , Ville Koistinen [ctb] ORCID iD ORCID: 0000-0003-1587-8361 , Olli Kärkkäinen [ctb] ORCID iD ORCID: 0000-0003-0825-4956 , Artur Sannikov [ctb] ORCID iD ORCID: 0000-0001-7765-123X

Maintainer: Vilhelm Suksi <vksuks at utu.fi>

Citation (from within R, enter citation("notame")):

Anton Klåvus, Jussi Paananen, Oskari Timonen, Atte Lihtamo, Vilhelm Suksi, Retu Haikonen, Leo Lahti, Kati Hanhineva. notame: Workflow for non-targeted LC-MS metabolic profiling. doi:10.18129/B9.bioc.notame, R package version 1.2.0, https://bioconductor.org/packages/notame.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("notame")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("notame")
Non-targeted metabolomics preprocessing and wrangling HTML R Script
Project example HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews BatchEffect, BiomedicalInformatics, DataImport, MassSpectrometry, Metabolomics, MultipleComparison, Normalization, Preprocessing, QualityControl, Software, Visualization
Version1.2.0
In Bioconductor sinceBioC 3.22 (R-4.5) (1 year)
License MIT + file LICENSE
Depends R (>= 4.5.0), ggplot2, SummarizedExperiment
Imports BiocGenerics, BiocParallel, dplyr, futile.logger, methods, openxlsx, S4Vectors, scales, stringr, tidyr, utils
System Requirements
URLhttps://github.com/hanhineva-lab/notame https://hanhineva-lab.github.io/notame/
Bug Reportshttps://github.com/hanhineva-lab/notame/issues
See More
Suggests BiocStyle, fpc, igraph, knitr, missForest, notameViz, notameStats, pcaMethods, RUVSeq, testthat
Linking To
Enhances
Depends On Me
Imports Me notameStats, notameViz
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package notame_1.2.0.tar.gz
Windows Binary (x86_64) notame_1.2.0.zip
macOS Binary (big-sur-x86_64) notame_1.2.0.tgz
macOS Binary (sonoma-arm64) notame_1.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/notame
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/notame
Package Short Url https://bioconductor.org/packages/notame/
Package Downloads ReportDownload Stats