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

Blast2GO goes grid: developing a grid-enabled prototype for functional genomics analysis.

G Aparicio1, S Götz, A Conesa

  • 1Instituto de Aplicaciones de las Tecnologias de la Información y de las Comunicaciones Avanzadas, Universidad Politécnica de Valencia, Camino de Vera S/N, 46022 Valencia, Spain. gaparicio@itaca.upv.es

Studies in Health Technology and Informatics
|July 11, 2006
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

Muscle mitochondria, function, mass, and quality of life in prostate cancer during androgen deprivation therapy.

Nature communications·2026
Same author

Individual Patient Data Validation of the EAU Definitions of BCG Failure in Patients with Non-muscle-invasive Urothelial Carcinoma of the Bladder: An International Multicenter Retrospective Study.

European urology oncology·2026
Same author

Long-Range Transverse-Momentum Correlations and Radial Flow in Pb-Pb Collisions at the LHC.

Physical review letters·2026
Same author

Active surveillance as the treatment of choice for low-risk prostate cancer: Reliability of results obtained through clinical language processing systems and big data.

Actas urologicas espanolas·2026
Same author

Search for Quasiparticle Scattering in the Quark-Gluon Plasma with Jet Splittings in pp and Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

Physical review letters·2025
Same author

First Measurement of A=4 Hypernuclei and Antihypernuclei at the LHC.

Physical review letters·2025
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Genomic research generates complex data, requiring powerful computational tools. A new Grid component for Blast2GO enhances analysis speed for large datasets using distributed computing.

Area of Science:

  • Bioinformatics and Computational Biology
  • Genomics and Functional Genomics

Background:

  • Genomic research produces vast and complex data, necessitating advanced computational tools for analysis.
  • Blast2GO (B2G) is a bioinformatics tool for Gene Ontology-based sequence annotation and data mining, user-friendly for genomics labs.
  • Current B2G performance is limited by local computational power, restricting analysis of large datasets.

Purpose of the Study:

  • To develop a Grid component for Blast2GO to enhance computational capacity for functional genomics research.
  • To accelerate BLAST searches for processing large genomic datasets efficiently.
  • To leverage large, heterogeneous Grid infrastructures for improved data analysis and load balancing.

Main Methods:

  • Development of a Grid component integrated with Blast2GO.

Related Experiment Videos

  • Implementation of a prototype for speeding up BLAST searches on large datasets.
  • Utilization of MPIBLAST for lower-level computation and WSRF standard for software architecture.

    • Main Results:

    • A prototype Grid component has been conceived to accelerate BLAST searches.
    • The Grid service will analyze requests and distribute tasks based on available resources.
    • The approach aims to overcome computational limitations for large-scale genomic data analysis.

    Conclusions:

    • Integrating Grid computing into Blast2GO significantly enhances its capacity for analyzing large genomic datasets.
    • The developed Grid component offers a scalable solution for functional genomics research by utilizing distributed resources.
    • This approach addresses the need for powerful computational tools in modern genomic research.