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Showing papers on "Munich Information Center for Protein Sequences published in 1998"


Journal ArticleDOI
TL;DR: The MIPS group at the Max-Planck-Institute for Biochemistry 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 genome, and the systematic analysis of other small genomes.
Abstract: 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 genome, the systematic analysis of other small genomes and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database (described elsewhere in this volume). Through its WWW server (http://www.mips.biochem.mpg.de ) MIPS provides access to a variety of generic databases, including a database of protein families as well as automatically generated data by the systematic application of sequence analysis algorithms. The yeast genome sequence and its related information was also compiled on CD-ROM to provide dynamic interactive access to the 16 chromosomes of the first eukaryotic genome unraveled.

145 citations


Journal ArticleDOI
01 Dec 1998-Yeast
TL;DR: The aim of this review is to familiarize biologists with the type of data resources currently available on the World Wide Web (WWW) to exploit knowledge about yeast genetics and molecular biology data.
Abstract: The completion of the Saccharomyces cerevisiae genome sequencing project 11 and the continued development of improved technology for large-scale genome analysis have led to tremendous growth in the amount of new yeast genetics and molecular biology data. EYcient organization, presentation, and dissemination of this information are essential if researchers are to exploit this knowledge. In addition, the development of tools that provide eYcient analysis of this information and link it with pertinent information from other systems is becoming increasingly important at a time when the complete genome sequences of other organisms are becoming available. The aim of this review is to familiarize biologists with the type of data resources currently available on the World Wide Web (WWW). ? 1998 John Wiley & Sons, Ltd.

11 citations


Book ChapterDOI
01 Jan 1998
TL;DR: Biology and geneticists working in this Research Program cooperate closely with computer scientists and mathematicians to analyze and understand the causes of disease on a molecular level.
Abstract: The whole of the genetic information encoded in our hereditary material is called the human genome. The rapid advancement of molecular genetics over the past few years has enabled us to analyze and understand the causes of disease on a molecular level. In particular, we have learned that cancer is closely associated with modifications in the genome. We also know that the human genome has a length of 3 billion molecular building blocks and is divided into 44 autosomes (chromosomes that are not linked to the sex) and two sex chromosomes. In view of the wealth of highly complex data accumulated in the process of genome analysis, biologists and geneticists working in this Research Program cooperate closely with computer scientists and mathematicians.

1 citations