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

Pise: software for building bioinformatics webs.

Don Gilbert1

  • 1Biology Department, and Center for Genomics and Bioinformatics, Indiana University, Bloomington 47405, USA. gilbertd@bio.indiana.edu

Briefings in Bioinformatics
|January 4, 2003
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

The landscape of extreme genomic variation in the highly adaptable Atlantic killifish.

Genome biology and evolution·2017
Same author

Genomic insights into the Ixodes scapularis tick vector of Lyme disease.

Nature communications·2016
Same author

Decoding the massive genome of loblolly pine using haploid DNA and novel assembly strategies.

Genome biology·2014
Same author

The genome sequence of the most widely cultivated cacao type and its use to identify candidate genes regulating pod color.

Genome biology·2013
Same author

Predator-induced defences in Daphnia pulex: selection and evaluation of internal reference genes for gene expression studies with real-time PCR.

BMC molecular biology·2010
Same author

Comments on sequence normalization of tiling array expression.

Bioinformatics (Oxford, England)·2009
Same journal

Literature-informed gene extraction and ranking for multimodal data fusion.

Briefings in bioinformatics·2026
Same journal

SA-MTP: a structure-aware framework for multifunctional therapeutic peptide annotation.

Briefings in bioinformatics·2026
Same journal

Genome assemblies and annotations are not static and need support for tracking their evolution.

Briefings in bioinformatics·2026
Same journal

A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.

Briefings in bioinformatics·2026
Same journal

Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.

Briefings in bioinformatics·2026
Same journal

Prediction of drug hypersensitivity by comprehensive modeling of HLA-peptidomes.

Briefings in bioinformatics·2026
See all related articles

Pise software simplifies bioinformatics by creating user-friendly web interfaces for command-line tools. This adaptable tool enables easy construction and deployment of custom bioinformatics web services.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Software Engineering

Background:

  • Bioinformatics tools often rely on complex command-line operations.
  • Developing user-friendly interfaces for these tools can be challenging and time-consuming.
  • There is a need for adaptable software to streamline the creation of web services for bioinformatics applications.

Purpose of the Study:

  • To introduce Pise, an interface construction software for bioinformatics.
  • To demonstrate Pise's capability in creating accessible interfaces for command-line bioinformatics tools.
  • To highlight Pise's utility in developing custom bioinformatics web services.

Main Methods:

  • Pise facilitates the creation of common, easy-to-use interfaces for command-line bioinformatics applications.

Related Experiment Videos

  • The software is designed to be adaptable to new bioinformatics tools.
  • Features include program chaining and Unix system batch controls.
  • Main Results:

    • Pise enables the development of web interfaces for existing bioinformatics software.
    • It supports the integration of new bioinformatics tools through its adaptable design.
    • Users can build and utilize their own bioinformatics web services effectively.

    Conclusions:

    • Pise offers an attractive solution for building and deploying bioinformatics web services.
    • The software simplifies access to command-line bioinformatics tools through intuitive interfaces.
    • Pise enhances the usability and accessibility of bioinformatics resources.