Paper Info
Title
IMG ER: a system for microbial genome annotation expert review and curation
Abstract
Motivation: A rapidly increasing number of microbial genomes are sequenced by organizations worldwide and are eventually included into various public genome data resources. The quality of the annotations depends largely on the original dataset providers, with erroneous or incomplete annotations often carried over into the public resources and difficult to correct. Results: We have developed an Expert Review (ER) version of the Integrated Microbial Genomes (IMG) system, with the goal of supporting systematic and efficient revision of microbial genome annotations. IMG ER provides tools for the review and curation of annotations of both new and publicly available microbial genomes within IMG's rich integrated genome framework. New genome datasets are included into IMG ER prior to their public release either with their native annotations or with annotations generated by IMG ER's annotation pipeline. IMG ER tools allow addressing annotation problems detected with IMG's comparative analysis tools, such as genes missed by gene prediction pipelines or genes without an associated function. Over the past year, IMG ER was used for improving the annotations of about 150 microbial genomes.
Year
DOI
Venue
2009
10.1093/bioinformatics/btp393
BIOINFORMATICS
Field
DocType
Volume
Genome,Analysis tools,Data mining,Annotation,Computer science,Data resources,Microbial Genomes,IMG,Gene prediction,Bioinformatics,Associated function
Journal
25
Issue
ISSN
Citations 
17
1367-4803
11
PageRank 
References 
Authors
1.13
21
6
Name
Order
Citations
PageRank
Victor M. Markowitz1906351.62
Konstantinos Mavrommatis233126.18
Natalia Ivanova31129.49
I-Min A. Chen4458177.16
Ken Chu524021.08
Nikos Kyrpides639552.87