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

FeatureExtract--extraction of sequence annotation made easy.

Rasmus Wernersson1

  • 1Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, Building 208, DK-2800 Lyngby, Denmark. raz@cbs.dtu.dk

Nucleic Acids Research
|June 28, 2005
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

Molecular maps of diseases from omics data and network embeddings.

NPJ systems biology and applications·2026
Same author

Correction: New insights into the molecular biology of Alzheimer's-like cerebral amyloidosis achieved through multi-omics approaches.

PloS one·2025
Same author

New insights into the molecular biology of Alzheimer's-like cerebral amyloidosis achieved through multi-omics approaches.

PloS one·2025
Same author

A molecular view of amyotrophic lateral sclerosis through the lens of interaction network modules.

PloS one·2022
Same author

High CD34 surface expression in BCP-ALL predicts poor induction therapy response and is associated with altered expression of genes related to cell migration and adhesion.

Molecular oncology·2022
Same author

Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.

Nature metabolism·2020
Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026
Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026
Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026
Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026
Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026
Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026
See all related articles

This study introduces FeatureExtract, a user-friendly web tool for accessing DNA sequence annotations from GenBank. It simplifies the extraction of genetic features, aiding biological research and experimental design.

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Accessing DNA sequence annotations like intron/exon structure and promoter regions is crucial for various biological studies.
  • Existing methods for retrieving this data from databases such as GenBank require significant bioinformatics expertise and data format knowledge.
  • Understanding gene locations and features is essential for tasks like phylogenetic analysis and designing molecular experiments (e.g., PCR, DNA microarrays).

Purpose of the Study:

  • To develop a flexible and easy-to-use tool for extracting feature annotations from GenBank entries.
  • To provide a simplified method for accessing specific genetic datasets, such as promoter regions.
  • To offer a consistent and computationally parseable output format for extracted data.

Main Methods:

Related Experiment Videos

  • Development of the FeatureExtract web server.
  • Implementation of algorithms to parse GenBank entries and extract specified feature annotations.
  • Design of a user-friendly interface for data extraction requests.

Main Results:

  • The FeatureExtract web server provides a flexible and intuitive way to access DNA sequence feature annotations.
  • The tool enables the extraction of specific datasets, such as promoter regions, with ease.
  • The output data format is highly consistent, user-friendly, and computationally parseable.

Conclusions:

  • FeatureExtract significantly lowers the barrier to accessing critical DNA sequence annotation data.
  • The tool supports a wide range of biological research by simplifying data retrieval and analysis.
  • The web server is freely available, promoting broader accessibility for academic and commercial users.