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Related Experiment Video

Updated: Jul 7, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

Identifying statistical dependence in genomic sequences via mutual information estimates.

Hasan Metin Aktulga¹, Ioannis Kontoyiannis, L Alex Lyznik

¹Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.

EURASIP Journal on Bioinformatics & Systems Biology

|February 28, 2008

Summary

This study introduces information-theoretic tools to find statistically correlated segments in DNA and RNA. These methods successfully identified gene correlations and short tandem repeats, advancing biological data analysis.

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

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Published on: May 6, 2010

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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Understanding information representation in organisms is crucial for biological advances.
Identifying statistical correlations in biomolecules is a key challenge.

Purpose of the Study:

To demonstrate the application of information-theoretic tools for identifying statistically correlated segments in biomolecules.
To develop a reliable methodology for extracting statistical and structural dependencies.

Main Methods:

Utilized information-theoretic tools, specifically mutual information.
Developed a threshold function to quantify the significance of dependencies between biological segments.

Main Results:

Identified significant dependencies between the 5' untranslated region and alternatively spliced exons in the maize zmSRp32 gene.
Successfully applied the approach to discover short tandem repeats in CODIS data, demonstrating its utility in genetic profiling.

Conclusions:

The developed information-theoretic methodology is effective for identifying statistical and structural dependencies in biomolecules.
This approach has significant applications in understanding gene regulation and genetic profiling.