Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

DNA Motif Detection Using Particle Swarm Optimization and Expectation-Maximization.

C T Hardin¹, Eric C Rouchka

¹Department of Computer Science and Computer Engineering, University of Louisville, Louisville, KY 40292, cthard01@louisville.edu.

Proceedings of the ... IEEE Swarm Intelligence Symposium. IEEE Swarm Intelligence Symposium

|September 28, 2011

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

LVV SMRTcap reveals extensive proviral variation in lentiviral vector-transduced CAR T cells.

bioRxiv : the preprint server for biology·2026

Same author

A Comparison of Combined P-value Methods for Gene Differential Expression Using RNA-Seq Data.

ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine·2026

Same author

Long-Read Isoform Sequencing Reveals Aroclor1260-Induced Isoform Usage in Mouse Livers.

Genes·2026

Same author

Adaptation of lentiviral vectors for viral gene therapy and their impact on host cell biology.

Journal of translational medicine·2026

Same author

Sex-dependent modulation of PCB-mediated toxicity from a proteomic and microbiome perspective.

Scientific reports·2025

Same author

Tissue tropism and functional adaptation of the SARS-CoV-2 spike protein in a fatal case of COVID-19.

Journal of virology·2025

This study introduces a novel hybrid approach for motif discovery, combining Particle Swarm Optimization and the Expectation-Maximization algorithm. This method enhances the identification of significant biological patterns in nucleotide and amino acid sequences.

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Motif discovery is crucial for understanding gene function by identifying shared patterns in biological sequences.
Existing methods may face challenges in efficiently and accurately identifying these patterns.

Purpose of the Study:

To propose a novel hybrid motif discovery approach.
To leverage the strengths of Particle Swarm Optimization (PSO) and Expectation-Maximization (EM) algorithms for improved pattern identification.

Main Methods:

A hybrid algorithm combining Particle Swarm Optimization (PSO) and Expectation-Maximization (EM).
Utilizing PSO to generate an initial seed for the EM algorithm, thereby guiding the discovery process.

Main Results:

More Related Videos

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Related Experiment Videos

Last Updated: Jun 13, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

The proposed hybrid approach aims to improve the efficiency and accuracy of motif discovery.
PSO-seeded EM is expected to enhance the identification of meaningful nucleotide and amino acid patterns.

Conclusions:

The hybrid PSO-EM approach offers a promising advancement in motif discovery techniques.
This method contributes to a better understanding of gene function through more effective pattern identification.