MIPS: a database for genomes and protein sequences
نویسندگان
چکیده
منابع مشابه
MIPS: a database for protein sequences and complete genomes
The MIPS group [Munich Information Center for Protein Sequences of the German National Center for Environment and Health (GSF)] at the Max-Planck-Institute for Biochemistry, Martinsried near Munich, Germany, is involved in a number of data collection activities, including a comprehensive database of the yeast genome, a database reflecting the progress in sequencing the Arabidopsis thaliana geno...
متن کاملMIPS: a database for genomes and protein sequences
The Munich Information Center for Protein Sequences (MIPS-GSF, Neuherberg, Germany) continues to provide genome-related information in a systematic way. MIPS supports both national and European sequencing and functional analysis projects, develops and maintains automatically generated and manually annotated genome-specific databases, develops systematic classification schemes for the functional...
متن کاملMIPS: a database for protein sequences, homology data and yeast genome information
The MIPS group (Martinsried Institute for Protein Sequences) at the Max-Planck-Institute for Biochemistry, Martinsried near Munich, Germany, collects, processes and distributes protein sequence data within the framework of the tripartite association of the PIR-International Protein Sequence Database (,). MIPS contributes nearly 50% of the data input to the PIR-International Protein Sequence Dat...
متن کاملThe MIPS mammalian protein?Cprotein interaction database
SUMMARY The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. We provide the full dataset for download and a flexible and powerful web interface for users with various requirements.
متن کاملMIPS bacterial genomes functional annotation benchmark dataset
MOTIVATION Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult. RE...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 1999
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/27.1.44