Your browser doesn't support javascript.
loading
Megx.net: integrated database resource for marine ecological genomics.
Kottmann, Renzo; Kostadinov, Ivalyo; Duhaime, Melissa Beth; Buttigieg, Pier Luigi; Yilmaz, Pelin; Hankeln, Wolfgang; Waldmann, Jost; Glöckner, Frank Oliver.
Afiliação
  • Kottmann R; Microbial Genomics Group, Max Planck Institute for Marine Microbiology, D-28359 Bremen, Germany. rkottman@mpi-bremen
Nucleic Acids Res ; 38(Database issue): D391-5, 2010 Jan.
Article em En | MEDLINE | ID: mdl-19858098
ABSTRACT
Megx.net is a database and portal that provides integrated access to georeferenced marker genes, environment data and marine genome and metagenome projects for microbial ecological genomics. All data are stored in the Microbial Ecological Genomics DataBase (MegDB), which is subdivided to hold both sequence and habitat data and global environmental data layers. The extended system provides access to several hundreds of genomes and metagenomes from prokaryotes and phages, as well as over a million small and large subunit ribosomal RNA sequences. With the refined Genes Mapserver, all data can be interactively visualized on a world map and statistics describing environmental parameters can be calculated. Sequence entries have been curated to comply with the proposed minimal standards for genomes and metagenomes (MIGS/MIMS) of the Genomic Standards Consortium. Access to data is facilitated by Web Services. The updated megx.net portal offers microbial ecologists greatly enhanced database content, and new features and tools for data analysis, all of which are freely accessible from our webpage http//www.megx.net.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados Genéticas / Bases de Dados de Ácidos Nucleicos / Bases de Dados de Proteínas Limite: Animals / Humans Idioma: En Ano de publicação: 2010 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados Genéticas / Bases de Dados de Ácidos Nucleicos / Bases de Dados de Proteínas Limite: Animals / Humans Idioma: En Ano de publicação: 2010 Tipo de documento: Article