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

Databases in molecular biology: a CODATA task group at work.

B Keil1

  • 1Protein Chemistry, Institut Pasteur, Paris, France.

Protein Sequences & Data Analysis
|January 1, 1987
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 connectivity-based architecture of the human piriform cortex.

NeuroImage·2024
Same author

Investigations on the beam quality correction factor for ionization chambers in high-energy brachytherapy dosimetry.

Physics in medicine and biology·2024
Same author

g-Ratio weighted imaging of the human spinal cord in vivo.

NeuroImage·2016
Same author

Pushing the limits of in vivo diffusion MRI for the Human Connectome Project.

NeuroImage·2013
Same author

Improving diffusion MRI using simultaneous multi-slice echo planar imaging.

NeuroImage·2012
Same author

An implanted 8-channel array coil for high-resolution macaque MRI at 3T.

NeuroImage·2012
Same journal

Index of the protein sequences added in 1991 to the Protein Sequence Database of the International Association of Protein Sequence Databanks (PIR-International).

Protein sequences & data analysis·1993
Same journal

The amino acid sequences of two 13-kDa alpha-amylase inhibitors from the seeds of Sorghum bicolor (L.) Moench.

Protein sequences & data analysis·1992
Same journal

A review of cytokine structures.

Protein sequences & data analysis·1992
Same journal

Structural similarities in the repeat sequences of plasma apolipoproteins, A-I, A-IV, and E.

Protein sequences & data analysis·1992
Same journal

The superfamily of UvrA-related ATPases includes three more subunits of putative ATP-dependent nucleases.

Protein sequences & data analysis·1992
Same journal

Improved detection of homology in distantly related proteins: similarity of adducin with actin-binding proteins.

Protein sequences & data analysis·1992
See all related articles

Exponential growth in nucleic acid and protein sequence data presents challenges for accessibility and utilization. International meetings in 1987 addressed these critical data management issues for scientists.

Area of Science:

  • Bioinformatics
  • Biotechnology
  • Molecular Biology

Background:

  • Rapid expansion of nucleic acid and protein sequence data poses challenges for acquisition, distribution, and utilization.
  • Current data resources may not be fully accessible to bench scientists.
  • Limited international discussion on common problems in biological sequence data management.

Purpose of the Study:

  • To highlight concerns regarding the exponential growth of biological sequence data.
  • To address the accessibility and utilization challenges of existing data resources.
  • To report on international efforts to discuss these issues.

Main Methods:

  • Convened three international meetings in 1987 focusing on sequence data banks and databases.
  • Annual meeting of CODATA Task Group on Coordination of Protein Sequence Data Banks.

Related Experiment Videos

  • EMBL/NIH Workshop on nucleic acid databases and CODATA Workshop on Nucleic Acid and Protein Sequencing Data.
  • Main Results:

    • Identified significant concerns about data saturation and accessibility in biological sequence data.
    • Highlighted the need for greater international collaboration and discussion on data management.
    • Brought together experts to address challenges in protein and nucleic acid sequence data.

    Conclusions:

    • Urgent need for improved strategies to manage and access exponentially growing biological sequence data.
    • International collaboration is crucial for addressing common challenges in bioinformatics data.
    • Ensuring accessibility for bench scientists is vital for scientific advancement.