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Related Experiment Videos

Genomic database resources for Dictyostelium discoideum.

Lisa Kreppel1, Alan R Kimmel

  • 1Laboratory of Cellular and Developmental Biology (50/3351), National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892-8028, USA.

Nucleic Acids Research
|December 26, 2001
PubMed
Summary

Dictyostelium genomics offers valuable resources for cellular and developmental studies. This review highlights key genomic data access portals, aiding researchers in utilizing this model organism.

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Area of Science:

  • Cellular and developmental biology
  • Genomics and bioinformatics

Background:

  • Dictyostelium serves as a crucial model organism for understanding fundamental cellular functions and complex multicellular development.
  • Recent advancements in Dictyostelium genomics have yielded substantial resources.
  • However, much of this genomic sequence data is not readily accessible through common databases like GenBank.

Purpose of the Study:

  • To discuss the progress in Dictyostelium genomics and gene annotation.
  • To raise awareness about the availability of extensive Dictyostelium sequence data.
  • To provide primary access points for sequence data manipulation and analysis.

Main Methods:

  • Review of recent progress in Dictyostelium genomics.
  • Identification and compilation of key genomic sequence data portals.

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  • Discussion of gene annotation efforts.

    • Main Results:

    • Significant genomic sequence data for Dictyostelium has been compiled.
    • Several primary portals for accessing and analyzing this data have been identified.
    • Awareness of these resources among investigators remains limited.

    Conclusions:

    • Dictyostelium genomics is advancing, providing rich datasets for biological research.
    • Improved awareness and accessibility of genomic data are crucial for maximizing the utility of Dictyostelium as a model system.
    • Key online resources are provided for researchers to access, manipulate, and analyze Dictyostelium genomic sequences.