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Related Experiment Video

Updated: Mar 15, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Motif Finding.

Jui-Hung Hung, Zhiping Weng

Cold Spring Harbor Protocols

|August 31, 2016

Summary

This summary is machine-generated.

This study introduces sequence motifs for predicting transcription factor-binding sites. It covers methods to find motifs enriched in regulatory DNA sequences.

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Last Updated: Mar 15, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Peptide-based Identification of Functional Motifs and their Binding Partners

Peptide-based Identification of Functional Motifs and their Binding Partners

Published on: June 30, 2013

Pattern Generation for Micropattern Traction Microscopy

Pattern Generation for Micropattern Traction Microscopy

Published on: February 17, 2022

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Sequence motifs are recurring patterns in DNA or RNA sequences.
Identifying these motifs is crucial for understanding gene regulation.
Transcription factors bind to specific DNA sequences to control gene expression.

Purpose of the Study:

To provide a comprehensive introduction to sequence motifs.
To explain methods for predicting transcription factor-binding sites.
To outline approaches for discovering motifs in regulatory sequences.

Main Methods:

Computational algorithms for motif discovery.
Statistical methods for identifying enriched patterns.
Sequence alignment and analysis techniques.

Main Results:

Demonstration of effective prediction of transcription factor-binding sites.
Identification of novel regulatory motifs.
Validation of motif enrichment analysis.

Conclusions:

Sequence motif analysis is a powerful tool in genomics.
Understanding motifs aids in deciphering gene regulatory networks.
This work provides foundational knowledge for motif discovery research.