Cargando…

metabolomicsR: a streamlined workflow to analyze metabolomic data in R

SUMMARY: metabolomicsR is a streamlined, flexible and user-friendly R package to preprocess, analyze and visualize metabolomic data. metabolomicsR includes comprehensive functionalities for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, bat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Han, Xikun, Liang, Liming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Application Note
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512519/ https://www.ncbi.nlm.nih.gov/pubmed/36177485 http://dx.doi.org/10.1093/bioadv/vbac067

Ejemplares similares

Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics
por: Giacomoni, Franck, et al.
Publicado: (2015)

MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data
por: Chong, Jasmine, et al.
Publicado: (2018)

Amanida: an R package for meta-analysis of metabolomics non-integral data
por: Llambrich, Maria, et al.
Publicado: (2021)

Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data
por: Nodzenski, Michael, et al.
Publicado: (2014)

struct: an R/Bioconductor-based framework for standardized metabolomics data analysis and beyond
por: Lloyd, Gavin Rhys, et al.
Publicado: (2020)

ADViSELipidomics: a workflow for analyzing lipidomics data
por: Del Prete, Eugenio, et al.
Publicado: (2022)

MetaboDiff: an R package for differential metabolomic analysis
por: Mock, Andreas, et al.
Publicado: (2018)

Metabolite-Investigator: an integrated user-friendly workflow for metabolomics multi-study analysis
por: Beuchel, Carl, et al.
Publicado: (2020)

MWASTools: an R/bioconductor package for metabolome-wide association studies
por: Rodriguez-Martinez, Andrea, et al.
Publicado: (2018)

maplet: an extensible R toolbox for modular and reproducible metabolomics pipelines
por: Chetnik, Kelsey, et al.
Publicado: (2021)

An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)
por: Fernández-Albert, Francesc, et al.
Publicado: (2014)

bubbleHeatmap: an R package for visualization of Nightingale Health metabolomics datasets
por: Boxall, Ruth, et al.
Publicado: (2023)

BRGenomics for analyzing high-resolution genomics data in R
por: DeBerardine, Michael
Publicado: (2023)

ProbMetab: an R package for Bayesian probabilistic annotation of LC–MS-based metabolomics
por: Silva, Ricardo R., et al.
Publicado: (2014)

mpwR: an R package for comparing performance of mass spectrometry-based proteomic workflows
por: Kardell, Oliver, et al.
Publicado: (2023)

PiMP my metabolome: an integrated, web-based tool for LC-MS metabolomics data
por: Gloaguen, Yoann, et al.
Publicado: (2017)

MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health’s (1)H-NMR metabolomics data
por: Bizzarri, D, et al.
Publicado: (2022)

Pkgndep: a tool for analyzing dependency heaviness of R packages
por: Gu, Zuguang, et al.
Publicado: (2022)

PamgeneAnalyzeR: open and reproducible pipeline for kinase profiling
por: Bekkar, Amel, et al.
Publicado: (2020)

ukbREST: efficient and streamlined data access for reproducible research in large biobanks
por: Pividori, Milton, et al.
Publicado: (2019)

MassCascade: Visual Programming for LC-MS Data Processing in Metabolomics
por: Beisken, Stephan, et al.
Publicado: (2014)

iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data
por: Patel, Mitulkumar V
Publicado: (2018)

MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics
por: Heming, Simon, et al.
Publicado: (2022)

Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data
por: García-Alcalde, Fernando, et al.
Publicado: (2011)

RiboFlow, RiboR and RiboPy: an ecosystem for analyzing ribosome profiling data at read length resolution
por: Ozadam, Hakan, et al.
Publicado: (2020)

VCFshiny: an R/Shiny application for interactively analyzing and visualizing genetic variants
por: Chen, Tao, et al.
Publicado: (2023)

Molywood: streamlining the design and rendering of molecular movies
por: Wieczór, Miłosz, et al.
Publicado: (2020)

RepExplore: addressing technical replicate variance in proteomics and metabolomics data analysis
por: Glaab, Enrico, et al.
Publicado: (2015)

Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API
por: Gutiérrez-Sacristán, Alba, et al.
Publicado: (2018)

snpEnrichR: analyzing co-localization of SNPs and their proxies in genomic regions
por: Nousiainen, Kari, et al.
Publicado: (2018)

mzRAPP: a tool for reliability assessment of data pre-processing in non-targeted metabolomics
por: El Abiead, Yasin, et al.
Publicado: (2021)

GlyGen data model and processing workflow
por: Kahsay, Robel, et al.
Publicado: (2020)

MetaboCraft: building a Minecraft plugin for metabolomics
por: Megalios, Anargyros, et al.
Publicado: (2018)

Galaxy-M: a Galaxy workflow for processing and analyzing direct infusion and liquid chromatography mass spectrometry-based metabolomics data
por: Davidson, Robert L., et al.
Publicado: (2016)

UMI4Cats: an R package to analyze chromatin contact profiles obtained by UMI-4C
por: Ramos-Rodríguez, Mireia, et al.
Publicado: (2021)

MetiTree: a web application to organize and process high-resolution multi-stage mass spectrometry metabolomics data
por: Rojas-Chertó, Miguel, et al.
Publicado: (2012)

SAAP-RRBS: streamlined analysis and annotation pipeline for reduced representation bisulfite sequencing
por: Sun, Zhifu, et al.
Publicado: (2012)

Biomartr: genomic data retrieval with R
por: Drost, Hajk-Georg, et al.
Publicado: (2017)

SDRS—an algorithm for analyzing large-scale dose–response data
por: Ji, Rui-Ru, et al.
Publicado: (2011)

Metaphor—A workflow for streamlined assembly and binning of metagenomes
por: Salazar, Vinícius W, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_o70o3lkphj5ui248u9vk8jmqbe