PT  - JOURNAL ARTICLE
AU  - Zhang, Simo V.
AU  - Zhuo, Luting
AU  - Hahn, Matthew W.
TI  - AGOUTI: improving genome assembly and annotation using transcriptome data
AID  - 10.1101/033019
DP  - 2015 Jan 01
TA  - bioRxiv
PG  - 033019
4099  - http://biorxiv.org/content/early/2015/11/26/033019.short
4100  - http://biorxiv.org/content/early/2015/11/26/033019.full
AB  - Summary Current genome assemblies consist of thousands of contigs. These incomplete and fragmented assemblies lead to errors in gene identification, such that single genes spread across multiple contigs are annotated as separate gene models. We present AGOUTI (Annotated Genome Optimization Using Transcriptome Information), a tool that uses RNA-seq data to simultaneously combine contigs into scaffolds and fragmented gene models into single models. We show that AGOUTI improves both the contiguity of genome assemblies and the accuracy of gene annotation, providing updated versions of each as output.Availability The software is implemented in python and is available from github.com/svm-zhang/AGOUTI.Contact simozhan{at}indiana.eduSupplementary information Supplementary data are available at Bioinformatics online.