Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Experimental and computational approaches for deep metabolome annotation with application to the ecotoxicological model organism Daphnia magna.

GigaScience·2026
Same author

Regional HNSCC metabolomics reveals widespread changes to one-carbon metabolism and S-adenosylmethionine metabolism across tumour core, tumour edge and adjacent non-tumour tissues.

British journal of cancer·2026
Same author

Endocrine and metabolic determinants of cardiometabolic risk in mild autonomous cortisol secretion.

EBioMedicine·2026
Same author

Glutamine antagonism suppresses tumor growth in adrenocortical carcinoma through inhibition of de novo nucleotide biosynthesis.

bioRxiv : the preprint server for biology·2025
Same author

An Optimized SP3 Sample Processing Workflow for In-Depth and Reproducible Phosphoproteomics.

Journal of proteome research·2025
Same author

Substantiating chemical groups for read-across using molecular response profiles.

Regulatory toxicology and pharmacology : RTP·2025
Same journal

Cross-Domain Transfer Learning from Peptides to Metabolites Using a Multi-Property Fine-Tuned LLM.

Bioinformatics (Oxford, England)·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Nov 25, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.0K

struct: an R/Bioconductor-based framework for standardized metabolomics data analysis and beyond.

Gavin Rhys Lloyd1, Andris Jankevics1, Ralf J M Weber1

  • 1Phenome Centre Birmingham and School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.

Bioinformatics (Oxford, England)
|December 16, 2020
PubMed
Summary
This summary is machine-generated.

The struct package and structToolbox offer standardized R/Bioconductor workflows for omics data analysis. These tools enhance reproducibility and semantic interoperability for complex data integration.

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.6K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

4.0K

Related Experiment Videos

Last Updated: Nov 25, 2025

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.0K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.6K
An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
05:35

An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome

Published on: September 20, 2022

4.0K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Omics data analysis workflows face challenges in standardization, readability, and reproducibility due to diverse R/Bioconductor packages.
  • Integrating various analytical methods requires robust frameworks to ensure consistent and reliable results.

Purpose of the Study:

  • To introduce the struct R/Bioconductor package for developing standardized and readable statistical analysis workflows.
  • To present structToolbox, a collection of common data analysis methods implemented using struct for omics technologies.

Main Methods:

  • Development of class-based templates within the struct package.
  • Integration of struct with the STATistics Ontology for consistent reporting and semantic interoperability.
  • Implementation of commonly used data analysis methods in the structToolbox.

Main Results:

  • struct provides a framework for creating standardized and readable omics data analysis workflows.
  • structToolbox offers a set of pre-implemented methods for metabolomics and other omics data analysis.
  • The combination of struct and structToolbox enhances reproducibility and semantic interoperability in omics research.

Conclusions:

  • The struct package and structToolbox address the challenges of standardizing and reproducing omics data analysis.
  • These tools facilitate the development of robust and interpretable workflows for various omics technologies.
  • struct promotes consistent reporting and semantic interoperability through ontology integration.