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

SeWeR: a customizable and integrated dynamic HTML interface to bioinformatics services.

M K Basu1

  • 1Centre for Cellular and Molecular Biology, Hyderabad 500007, India. curiouser@ccmb.ap.nic.in

Bioinformatics (Oxford, England)
|June 8, 2001
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

Delivery in vivo of 14-deoxy-11-oxoandrographolide, an antileishmanial agent, by different drug carriers.

Indian journal of biochemistry & biophysics·2012
Same author

Railways and municipalities in western Bengal.

Bengal, past & present : journal of the Calcutta Historical Society·2009
Same author

Designing and testing of an effective oil-in-water microemulsion drug delivery system for in vivo application.

Drug delivery·2005
Same author

Phospholipid microspheres: a novel delivery mode for targeting antileishmanial agent in experimental leishmaniasis.

Journal of drug targeting·2003
Same author

Quercetin: critical evaluation as an antileishmanial agent in vivo in hamsters using different vesicular delivery modes.

Journal of drug targeting·2003
Same author

Bacopasaponin C: critical evaluation of anti-leishmanial properties in various delivery modes.

Drug delivery·2002
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
See all related articles

Sequence analysis using Web Resources (SeWeR) offers a customizable interface for bioinformatics services. This dynamic HTML tool is platform-neutral and server-independent, usable as a web page or standalone software.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Web Services

Background:

  • Bioinformatics tools are essential for analyzing biological sequences.
  • Integrating diverse web-based bioinformatics services presents challenges.
  • A unified and accessible interface is needed for efficient sequence analysis.

Purpose of the Study:

  • To develop an integrated interface for accessing commonly used web-based bioinformatics services.
  • To create a customizable and extendable platform for sequence analysis.
  • To provide a platform-neutral and server-independent solution for bioinformatics tasks.

Main Methods:

  • Developed Sequence analysis using Web Resources (SeWeR) as a Dynamic HTML (DHTML) interface.
  • Integrated commonly used bioinformatics services available on the World Wide Web.

Related Experiment Videos

  • Designed for platform neutrality and server independence.

    • Main Results:

    • SeWeR provides a unified interface for diverse bioinformatics tools.
    • The system is highly customizable and extendable.
    • It functions seamlessly as a web page or standalone browser software.

    Conclusions:

    • Sequence analysis using Web Resources (SeWeR) is a versatile and integrated solution for bioinformatics.
    • Its customizable, extendable, and independent nature enhances accessibility and usability.
    • SeWeR facilitates efficient sequence analysis across different platforms and environments.