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Related Experiment Video

Updated: May 18, 2026

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

Published on: November 10, 2023

Online tools for bioinformatics analyses in nutrition sciences.

Sridhar A Malkaram¹, Yousef I Hassan, Janos Zempleni

¹Department of Nutrition and Health Sciences, University of Nebraska, Lincoln, Nebraska, USA.

Advances in Nutrition (Bethesda, Md.)

|September 18, 2012

Summary

This summary is machine-generated.

Nutrition laboratories can leverage bioinformatics tools to analyze large "omics" datasets, including genomics and proteomics. This review guides researchers in utilizing publicly available bioinformatics resources for nutritional research.

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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

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An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Nutritional Science
Bioinformatics
Genomics
Proteomics
Metabolomics

Background:

Recent
omics
research has generated large and small datasets.
Bioinformatics tools are available for data mining.

Purpose of the Study:

Provide guidance on publicly available bioinformatics resources.
Enable nutrition laboratories to utilize
omics
data.
Serve as a starting point for researchers new to bioinformatics.

Main Methods:

Review of publicly available bioinformatics resources.
Focus on tools relevant to genomics, epigenomics, transcriptomics, proteomics, and metabolomics.

Main Results:

Identification of key bioinformatics resources for nutritional research.
Demonstration of the utility of these tools for interrogating
omics
datasets.

Conclusions:

Bioinformatics offers significant opportunities for nutritional research.
Accessible resources can empower investigators to extract valuable insights from
omics
data.