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

From biological databases to platforms for biomedical discovery.

J Daniel Navarro1, Vidya Niranjan, Suraj Peri

  • 1McKusick-Nathans Institute of Genetic Medicine and Dept. of Biological Chemistry, Johns Hopkins University, Baltimore, MD 21287, USA.

Trends in Biotechnology
|June 6, 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

PP2A catalytic subunit alpha is critically required for CD8<sup>+</sup> T-cell homeostasis and antibacterial responses.

European journal of immunology·2024
Same author

Diversity of post-translational modifications and cell signaling revealed by single cell and single organelle mass spectrometry.

Communications biology·2024
Same author

Culture-Free Whole Genome Sequencing of <i>Mycobacterium tuberculosis</i> Using Ligand-Mediated Bead Enrichment Method.

Open forum infectious diseases·2024
Same author

Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive Single-Cell Proteome Profiling.

Analytical chemistry·2024
Same author

Metabolome-wide association identifies altered metabolites and metabolic pathways in the serum of patients with cholangiocarcinoma.

JHEP reports : innovation in hepatology·2024
Same author

Dysregulated Cerebrospinal Fluid Proteome of Spinocerebellar Ataxia Type 2 and its Clinical Implications.

Movement disorders : official journal of the Movement Disorder Society·2024

Bioinformatics databases struggle to keep pace with massive genomic and proteomic data. Emerging computing technologies are crucial for future biological data analysis and management.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics
  • Proteomics

Background:

  • High-throughput DNA sequencing and proteomic methods generate vast amounts of biological data.
  • Current computational tools and database systems face challenges in managing and analyzing this data deluge.
  • The rapid accumulation of genomic and proteomic information necessitates advanced data management solutions.

Purpose of the Study:

  • To discuss the challenges in managing large-scale biological data.
  • To review existing database systems for storing biological information.
  • To highlight emerging computing technologies vital for the future of bioinformatics.

Main Methods:

  • Review of current database systems used in bioinformatics.

Related Experiment Videos

  • Discussion of emerging computational technologies relevant to biological data analysis.
  • Analysis of the gap between data generation and computational analysis capabilities.

    • Main Results:

    • Identification of limitations in current database systems for handling big biological data.
    • Overview of key emerging technologies like cloud computing, AI, and machine learning in bioinformatics.
    • Emphasis on the need for scalable and efficient computational infrastructure.

    Conclusions:

    • Database systems and computational tools must evolve to manage the increasing volume of genomic and proteomic data.
    • Emerging computing technologies offer promising solutions for future bioinformatics challenges.
    • Integrating advanced computational approaches is essential for unlocking the potential of biological big data.