• Policy
    • FAQ JLUdocs
    • FAQ JLUdata
    • Publishing in JLUdocs
    • Publishing in JLUdata
    • Publishing Contract
    • English
    • Deutsch
View Item 
  •   JLUpub Home
  • JLUdocs
  • Publikationen im Open Access gefördert durch die UB
  • View Item
  •   JLUpub Home
  • JLUdocs
  • Publikationen im Open Access gefördert durch die UB
  • View Item
  • Info
    • Policy
    • FAQ JLUdocs
    • FAQ JLUdata
    • Publishing in JLUdocs
    • Publishing in JLUdata
    • Publishing Contract
  • English 
    • English
    • Deutsch
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

EDGAR 2.0: an enhanced software platform for comparative gene content analyses

Thumbnail
Files in this item
10.1093_nar_gkw255.pdf (1.260Mb)
Date
2016
Author
Blom, Jochen
Kreis, Julian
Spänig, Sebastian
Juhre, Tobias
Bertelli, Claire
Ernst, Corinna
Goesmann, Alexander
Metadata
Show full item record
BibTeX Export
Quotable link
http://dx.doi.org/10.22029/jlupub-8648
Abstract

The rapidly increasing availability of microbial genome sequences has led to a growing demand for bioinformatics software tools that support the functional analysis based on the comparison of closely related genomes. By utilizing comparative approaches on gene level it is possible to gain insights into the core genes which represent the set of ... shared features for a set of organisms under study. Vice versa singleton genes can be identified to elucidate the specific properties of an individual genome. Since initial publication, the EDGAR platform has become one of the most established software tools in the field of comparative genomics. Over the last years, the software has been continuously improved and a large number of new analysis features have been added. For the new version, EDGAR 2.0, the gene orthology estimation approach was newly designed and completely re-implemented. Among other new features, EDGAR 2.0 provides extended phylogenetic analysis features like AAI (Average Amino Acid Identity) and ANI (Average Nucleotide Identity) matrices, genome set size statistics and modernized visualizations like interactive synteny plots or Venn diagrams. Thereby, the software supports a quick and user-friendly survey of evolutionary relationships between microbial genomes and simplifies the process of obtaining new biological insights into their differential gene content. All features are offered to the scientific community via a web-based and therefore platform-independent user interface, which allows easy browsing of precomputed datasets. The web server is accessible at http://edgar.computational.bio.

URI of original publication
https://doi.org/10.1093/nar/gkw255
Collections
  • Publikationen im Open Access gefördert durch die UB
Namensnennung - Nicht-kommerziell 4.0 International
Namensnennung - Nicht-kommerziell 4.0 International

Contact Us | Impressum | Privacy Policy | OAI-PMH
 

 

Browse

All of JLUpubCommunities & CollectionsOrganisational UnitDDC-ClassificationPublication TypeAuthorsBy Issue DateThis CollectionOrganisational UnitDDC-ClassificationPublication TypeAuthorsBy Issue Date

My Account

LoginRegister

Statistics

View Usage Statistics

Contact Us | Impressum | Privacy Policy | OAI-PMH