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MIPS: a database for genomes and protein sequences

H W Mewes1, K Heumann, A Kaps

  • 1GSF-Forschungszentrum für Umwelt und Gesundheit, Munich Information Center for Protein Sequences, am Max-Planck-Instut für Biochemie, Am Klopferspitz 18, D-82152 Martinsried, Germany. mewes@mips.biochem.mpg.de

Nucleic Acids Research
|December 10, 1998
PubMed
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The Munich Information Center for Protein Sequences (MIPS-GSF) uses automated analysis tools to manage rapidly increasing genome data. This strategy supports functional genomics and provides access to curated protein sequence databases.

Area of Science:

  • Bioinformatics
  • Genomics
  • Proteomics

Background:

  • The exponential growth of sequence data outpaces manual annotation capabilities in biological databases.
  • Efficient data management is crucial for advancing genomic and proteomic research.

Purpose of the Study:

  • To describe the Munich Information Center for Protein Sequences (MIPS-GSF) strategy for handling large-scale genome data.
  • To present key databases and analysis tools developed and maintained by MIPS-GSF.

Main Methods:

  • Systematic application of analysis tools to complete genomes.
  • Classification of protein sequences.
  • Development and maintenance of specialized genome databases (PEDANT, MYGD, MATD, MEST).

Main Results:

Related Experiment Videos

  • MIPS-GSF provides access to comprehensive genome analysis (PEDANT) and curated databases for yeast (MYGD), Arabidopsis (MATD), and human ESTs (MEST).
  • Integration of protein sequence data within PIR- and MIPS-specific databases (PROTFAM, MITOP).

Conclusions:

  • MIPS-GSF's automated approach effectively manages the data deluge in genomics.
  • These resources facilitate sequence analysis and support functional genomics projects worldwide.