Literature DB >> 9847138

MIPS: a database for genomes and protein sequences.

H W Mewes1, K Heumann, A Kaps, K Mayer, F Pfeiffer, S Stocker, D Frishman.   

Abstract

The Munich Information Center for Protein Sequences (MIPS-GSF), Martinsried near Munich, Germany, develops and maintains genome oriented databases. It is commonplace that the amount of sequence data available increases rapidly, but not the capacity of qualified manual annotation at the sequence databases. Therefore, our strategy aims to cope with the data stream by the comprehensive application of analysis tools to sequences of complete genomes, the systematic classification of protein sequences and the active support of sequence analysis and functional genomics projects. This report describes the systematic and up-to-date analysis of genomes (PEDANT), a comprehensive database of the yeast genome (MYGD), a database reflecting the progress in sequencing the Arabidopsis thaliana genome (MATD), the database of assembled, annotated human EST clusters (MEST), and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database (described elsewhere in this volume). MIPS provides access through its WWW server (http://www.mips.biochem.mpg.de) to a spectrum of generic databases, including the above mentioned as well as a database of protein families (PROTFAM), the MITOP database, and the all-against-all FASTA database.

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Year:  1999        PMID: 9847138      PMCID: PMC148093          DOI: 10.1093/nar/27.1.44

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  51 in total

1.  WIT: integrated system for high-throughput genome sequence analysis and metabolic reconstruction.

Authors:  R Overbeek; N Larsen; G D Pusch; M D'Souza; E Selkov; N Kyrpides; M Fonstein; N Maltsev; E Selkov
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  The SBASE protein domain library, release 7.0: a collection of annotated protein sequence segments.

Authors:  J Murvai; K Vlahovicek; E Barta; B Cataletto; S Pongor
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins.

Authors:  R Jansen; M Gerstein
Journal:  Nucleic Acids Res       Date:  2000-03-15       Impact factor: 16.971

Review 4.  Metabolic pathway analysis in trypanosomes and malaria parasites.

Authors:  Alan H Fairlamb
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-01-29       Impact factor: 6.237

5.  Genetic diversity in yeast assessed with whole-genome oligonucleotide arrays.

Authors:  Elizabeth A Winzeler; Cristian I Castillo-Davis; Guy Oshiro; David Liang; Daniel R Richards; Yingyao Zhou; Daniel L Hartl
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

6.  Gene expression phenotypes of Arabidopsis associated with sensitivity to low temperatures.

Authors:  Nicholas J Provart; Pedro Gil; Wenqiong Chen; Bin Han; Hur-Song Chang; Xun Wang; Tong Zhu
Journal:  Plant Physiol       Date:  2003-05-15       Impact factor: 8.340

7.  Parallel identification of new genes in Saccharomyces cerevisiae.

Authors:  Guy Oshiro; Lisa M Wodicka; Michael P Washburn; John R Yates; David J Lockhart; Elizabeth A Winzeler
Journal:  Genome Res       Date:  2002-08       Impact factor: 9.043

8.  Molecular evolution in large genetic networks: does connectivity equal constraint?

Authors:  Matthew W Hahn; Gavin C Conant; Andreas Wagner
Journal:  J Mol Evol       Date:  2004-02       Impact factor: 2.395

9.  Exploring the underlying biology of intrinsic cardiorespiratory fitness through integrative analysis of genomic variants and muscle gene expression profiling.

Authors:  Sujoy Ghosh; Monalisa Hota; Xiaoran Chai; Jencee Kiranya; Palash Ghosh; Zihong He; Jonathan J Ruiz-Ramie; Mark A Sarzynski; Claude Bouchard
Journal:  J Appl Physiol (1985)       Date:  2019-01-03

10.  How the global structure of protein interaction networks evolves.

Authors:  Andreas Wagner
Journal:  Proc Biol Sci       Date:  2003-03-07       Impact factor: 5.349

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