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 Experiment Videos

BLAST QuickStart: example-driven web-based BLAST tutorial.

David Wheeler1, Medha Bhagwat

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, USA.

Methods in Molecular Biology (Clifton, N.J.)
|November 13, 2007
PubMed
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

Environmental Drivers of Genetic Structure and Local Adaptation in a Marine Foundation Species.

Ecology and evolution·2026
Same author

Evidence of a genomic basis for growth rate variation in a natural kelp population.

Scientific reports·2026
Same author

Stress controls heterochromatin inheritance via histone H3 ubiquitylation.

Nature·2026
Same author

Patient-reported outcome measures for fatigue in patients with chronic kidney disease: a systematic review.

BMJ open·2025
Same author

Strong Environmental and Genome-Wide Population Differentiation Underpins Adaptation and High Genomic Vulnerability in the Dominant Australian Kelp (<i>Ecklonia radiata</i>).

Ecology and evolution·2025
Same author

Integrated Whole Genome and Transcriptome Sequencing as a Framework for Pediatric and Adolescent AML Diagnosis and Risk Assessment.

Research square·2025
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

The Basic Local Alignment Search Tool (BLAST) helps find similar protein or nucleotide sequences in databases. This guide explains practical BLAST applications with step-by-step procedures and relevant theory for effective use.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The Basic Local Alignment Search Tool (BLAST) is a fundamental algorithm for sequence similarity searching.
  • Identifying homologous sequences is crucial for understanding gene and protein function.

Purpose of the Study:

  • To provide a practical guide to using various BLAST programs.
  • To explain the step-by-step procedures for applying BLAST in sequence analysis.
  • To integrate theoretical concepts with practical application for informed parameter selection.

Main Methods:

  • Utilizing the BLAST Quick Start mini-course as a framework.
  • Demonstrating practical applications through step-by-step examples.
  • Explaining the theoretical underpinnings relevant to BLAST program and parameter choices.

Related Experiment Videos

Main Results:

  • The chapter details the application of different BLAST programs.
  • Practical, step-by-step procedures are emphasized for each example.
  • Theoretical aspects influencing program, parameter, and database selection are discussed.

Conclusions:

  • Effective use of BLAST requires understanding both practical application and theoretical considerations.
  • This guide empowers researchers to confidently apply BLAST for sequence similarity searches.
  • The resource facilitates informed decision-making in bioinformatics analyses.