GeneNet in 2005

نویسندگان

  • Elena A. Ananko
  • Nikolay L. Podkolodny
  • Irina L. Stepanenko
  • Olga A. Podkolodnaya
  • D. A. Rasskazov
  • Denis S. Miginsky
  • Vitali A. Likhoshvai
  • Alexander V. Ratushny
  • N. N. Podkolodnaya
  • Nikolay A. Kolchanov
چکیده

The GeneNet system is designed for collection and analysis of the data on gene and metabolic networks, signal transduction pathways and kinetic characteristics of elementary processes. In the past 2 years, the GeneNet structure was considerably improved: (i) the current version of the database is now implemented using ORACLE9i; (ii) the capacities to describe the structure of the protein complexes and the interactions between the units are increased; (iii) two tables with kinetic constants and more detailed descriptions of certain reactions were added; and (iv) a module for kinetic modeling was supplemented. The current SRS release of the GeneNet database contains 37 graphical maps of gene networks, as well as descriptions of 1766 proteins, 1006 genes, 241 small molecules and 3254 relationships between gene network units, and 552 kinetic constants. Information distributed between 16 interlinked tables was obtained by annotating 1980 journal publications. SRS release of the GeneNet database, the graphical viewer and the modeling section are available at http://wwwmgs.bionet.nsc.ru/mgs/gnw/genenet/.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reverse Engineering Genetic Networks using the GeneNet Package

GeneNet is a package for analyzing highdimensional (time series) data obtained from highthroughput functional genomics assays, such as expression microarrays or metabolic profiling. Specifically, GeneNet allows to infer large-scale gene association networks. These are graphical Gaussian models (GGMs) that represent multivariate dependencies in biomolecular networks by means of partial correlati...

متن کامل

GeneNet: A Meta-Sequence Similarity Analysis System

Sequence analysis using bioinformatics tools is an essential step in molecular biology. However, most of the web sites for analysis are dispersed in different locations, users must remember all web sites and change query in the proper format in each web site. Furthermore, databases are being updated continuously, users must repeat laborous searchs if they do not get satisfactory results from th...

متن کامل

GeneNet: a database on structure and functional organisation of gene networks

The GeneNet database is designed for accumulation of information on gene networks. Original technology applied in GeneNet enables description of not only a gene network structure and functional relationships between components, but also metabolic and signal transduction pathways. Specialised software, GeneNet Viewer, automatically displays the graphical diagram of gene networks described in the...

متن کامل

Interactive data input into the GeneNet database

SUMMARY The GeneNet database has been developed for a formalized hierarchical description of the gene networks. To provide rapid data accumulation in the database, the Java graphical interface for data input through the Internet by independent experts equipped with convenient visual tools is developed. AVAILABILITY http://wwwmgs. bionet.nsc.ru/systems/MGL/GeneNet/

متن کامل

GeneNet: a gene network database and its automated visualization

MOTIVATION Gene networks that provide the regulation of physiological processes are the basic feature of organisms. Information regarding the regulation of gene expression and signal transduction pathways is increasing rapidly. However, the information is hard to formalize and systematize. Ways and means for automated visualization of the gene networks based on their formalized description are ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Nucleic Acids Research

دوره 33  شماره 

صفحات  -

تاریخ انتشار 2005