Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.4K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.5K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.5K
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.7K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.7K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

298
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...
298

You might also read

Related Articles

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

Sort by
Same author

Hierarchical assessment of host factors influencing the spontaneous resolution of hepatitis C infection.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]·2019
Same author

An approach for COFFEE objective function to global DNA multiple sequence alignment.

Computational biology and chemistry·2018
See all related articles

Related Experiment Video

Updated: Oct 23, 2025

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.2K

Metaheuristics for multiple sequence alignment: A systematic review.

Anderson Rici Amorim1, Geraldo Francisco Donegá Zafalon2, Allan de Godoi Contessoto1

  • 1Department of Computer and Digital Systems Engineering, Universidade de São Paulo (USP) - Escola Politécnica, Av. Prof. Luciano Gualberto, Travessa 3, 158, Butantã, São Paulo, SP 05508-010, Brazil.

Computational Biology and Chemistry
|August 23, 2021
PubMed
Summary

This review explores metaheuristics for Multiple Sequence Alignment (MSA), a crucial bioinformatics task. Findings highlight multi-objective and hybrid approaches as key trends for improving protein alignment accuracy.

Keywords:
BioinformaticsMetaheuristicsMulti-objective optimizationMultiple sequence alignmentSystematic literature review

More Related Videos

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.6K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.1K

Related Experiment Videos

Last Updated: Oct 23, 2025

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

7.2K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.6K
Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
08:57

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

16.1K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Multiple Sequence Alignment (MSA) is fundamental for predicting protein function and structure.
  • Metaheuristics offer robust search capabilities for generating accurate biological sequence alignments.
  • Existing MSA methods require continuous improvement for complex biological datasets.

Purpose of the Study:

  • To systematically review the application of metaheuristics in Multiple Sequence Alignment (MSA).
  • To identify trends and advancements in metaheuristic-based MSA from 2014-2019.
  • To highlight the ongoing importance and potential of metaheuristics in bioinformatics.

Main Methods:

  • Conducted a Systematic Literature Review (SLR) of research published between 2014 and 2019.
  • Focused on studies employing metaheuristic algorithms for MSA.
  • Analyzed publication trends and identified dominant algorithmic approaches.

Main Results:

  • Metaheuristics are a consistently popular approach for MSA due to their search efficiency.
  • Recent research demonstrates a growing interest in advanced metaheuristic strategies.
  • Multi-objective and hybrid metaheuristic approaches show a trend towards enhanced alignment accuracy.

Conclusions:

  • Metaheuristic methods remain a vital and promising area for MSA research in bioinformatics.
  • The evolution towards multi-objective and hybrid strategies signifies progress in alignment quality.
  • Continued investigation into metaheuristics is essential for addressing complex biological sequence analysis challenges.