- Abstract:
-
The ERGO (http://ergo.integratedgenomics.com/ERGO/) genome analysis and discovery suite is an integration of biological data from genomics, biochemistry, high-throughput expression profiling, genetics and peer-reviewed journals to achieve a comprehensive analysis of genes and genomes. Far beyond any conventional systems that facilitate functional assignments, ERGO combines pattern-based analysis with comparative genomics by visualizing genes within the context of regulation, expression profiling, phylogenetic clusters, fusion events, networked cellular pathways and chromosomal neighborhoods of other functionally related genes. The result of this multifaceted approach is to provide an extensively curated database of the largest available integration of genomes, with a vast collection of reconstructed cellular pathways spanning all domains of life. Although access to ERGO is provided only under subscription, it is already widely used by the academic community. The current version of the system integrates 500 genomes from all domains of life in various levels of completion, 403 of which are available for subscription.
- Links To Paper
- 1st Link
- Bibtex format
- @Article{EDI-INF-RR-1161,
- author = {
Ross Overbeek
and Niels Larsen
and Terry Walunas
and Mark D'Souza
and Gordon Pusch
and Evgeny Selkov
and Konstantinos Liolios
and Viktor Joukov
and Denis Kaznadzey
and Iain Anderson
and Anamitra Bhattacharyya
and Henry Burd
and Warren Gardner
and Paul Hanke
and Vinayak Kapatral
and Natalia Mikhailova
and Olga Vasieva
and Andrei Osterman
and Veronika Vonstein
and Michael Fonstein
and Natalia Ivanova
and Nikos Kyrpides
},
- title = {The ERGO genome analysis and discovery system},
- journal = {Nucleic Acids Research},
- publisher = {Oxford Journals},
- year = 2003,
- month = {Jan},
- volume = {31},
- pages = {164-171},
- url = {http://nar.oxfordjournals.org/cgi/content/abstract/31/1/164?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=selkov&searchid=1&FIRSTINDEX=0&resourcetype=HWCIT},
- }
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