e-RGA statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Assembly reconciliation chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

e-RGA specifications


Unique identifier OMICS_09318
Name e-RGA
Alternative name enhanced Reference Guided Assembly
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Perl
Computer skills Advanced
Stability Stable
Maintained Yes


Add your version


  • person_outline Francesco Vezzi <>

Publication for enhanced Reference Guided Assembly

e-RGA in publication

PMCID: 4742680
PMID: 26847883
DOI: 10.1128/genomeA.01609-15

[…] 15 million reads were assembled with velvet 1.1 () and then refined with sequel version 1.0.2 (). the remaining contigs were submitted to the prodege website () for automatic decontamination. e-rga () was applied for genome mapping. the resulting 6,122,906-bp draft genome containing 5,336 genes is rich in g+c content (66.65%). finally, the assembled sequence was submitted to the national […]

To access a full list of publications, you will need to upgrade to our premium service.

e-RGA institution(s)
DIMI department of Informatics and Mathematics University of Udine, Udine, Italy; IGA institute of applied genomics, Udine, Italy

e-RGA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review e-RGA