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Related Concept Videos

Genomics02:02

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...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Overview of Protein Metabolism01:21

Overview of Protein Metabolism

Proteins are broken down into amino acids during digestion. Unlike fats and carbohydrates, which are stored for later use, proteins are not. Instead, amino acids are either used to produce ATP through oxidation or contribute to the creation of new proteins for the growth and repair of the body. Any surplus amino acids from the diet are converted into glucose or triglycerides rather than excreted.
Amino acids play various roles in the body once they are absorbed into cells. They are restructured...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 6, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Paintomics: a web based tool for the joint visualization of transcriptomics and metabolomics data.

Fernando García-Alcalde1, Federico García-López, Joaquín Dopazo

  • 1Bioinformatics and Genomics Department, Centro de Investigaciones Príncipe Felipe, Valencia, Spain.

Bioinformatics (Oxford, England)
|November 25, 2010
PubMed
Summary

Paintomics integrates transcriptomics and metabolomics data for systems biology research. This bioinformatics tool visualizes complex omics data on biological pathways, aiding interpretation.

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Related Experiment Videos

Last Updated: Jun 6, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Area of Science:

  • Systems biology
  • Bioinformatics
  • Genomics
  • Metabolomics

Background:

  • Omics technologies like transcriptomics and metabolomics enable systems biology studies.
  • Analyzing complex, multi-level biochemical data requires integrated approaches.
  • Visualizing disparate biomolecular data on biological pathways is crucial for interpretation.

Purpose of the Study:

  • To develop an easy-to-use bioinformatics resource for integrated omics data analysis.
  • To facilitate the visual analysis of transcriptomics and metabolomics data.
  • To enable the mapping of significant gene and metabolite changes onto biological pathways.

Main Methods:

  • Development of the Paintomics web server.
  • Integration of transcriptomics and metabolomics datasets.
  • Visualization of omics data onto KEGG pathway maps.

Main Results:

  • The Paintomics web server provides a user-friendly platform for integrated omics analysis.
  • It effectively visualizes transcriptomics and metabolomics data on KEGG pathways.
  • The tool facilitates the analysis of significant gene and metabolite changes across different conditions.

Conclusions:

  • Paintomics is a valuable resource for systems biology research.
  • Integrated visualization of omics data enhances biological interpretation.
  • The web server is freely available for researchers worldwide.