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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Mar 8, 2026

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

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

Published on: September 20, 2022

Global open data management in metabolomics.

Kenneth Haug¹, Reza M Salek¹, Christoph Steinbeck¹

¹European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Current Opinion in Chemical Biology

|January 17, 2017

Summary

This summary is machine-generated.

Chemical Biology integrates diverse tools to explore biological systems. Advances in genomics and metabolomics generate vast datasets, necessitating open-access databases and efficient data sharing for reanalysis and discovery.

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Last Updated: Mar 8, 2026

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

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Published on: September 20, 2022

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

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Published on: July 27, 2021

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Area of Science:

Chemical Biology
Genomics
Metabolomics
Analytical Chemistry

Background:

Molecular biology advances, including next-generation sequencing (NGS), provide deep insights into biochemical repertoire evolution.
Genomics data sharing enables broad analysis across life's kingdoms.
Metabolomics offers a dynamic molecular phenotype reflecting environmental influences on organisms.

Purpose of the Study:

To describe the emerging ecosystem of global open-access databases for metabolomics data.
To outline the foundations and challenges of data sharing and reanalysis in metabolomics.
To address the growing need for handling and distributing large biological datasets.

Main Methods:

Leveraging advances in high-throughput and high-resolution analytical chemistry instrumentation.
Analyzing large-scale datasets generated by metabolomics studies.
Examining the infrastructure and culture of global open-access databases.

Main Results:

An emerging ecosystem of interconnected open-access databases facilitates data exchange.
Significant progress has been made in developing methods for handling and distributing large metabolomics datasets.
Identified key factors enabling and hindering data sharing and reanalysis.

Conclusions:

Open-access databases and data exchange are crucial for advancing metabolomics research.
Effective data management and sharing strategies are essential to handle the increasing volume of omics data.
Overcoming obstacles to data sharing will accelerate scientific discovery in chemical biology and related fields.