NetUTR 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 Splicing defect prediction chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

NetUTR specifications


Unique identifier OMICS_17906
Name NetUTR
Interface Web user interface
Restrictions to use None
Input data A mRNA sequence.
Input format FASTA
Computer skills Basic
Version 1.0
Stability Stable
Maintained Yes


  • person_outline Soren Brunak <>

Publication for NetUTR

NetUTR in publications

PMCID: 2952627
PMID: 20948966
DOI: 10.1371/journal.pone.0013340

[…] finder (3788 snp-transcripts, average difference 16.19%), followed by a neural network splice site prediction tool, nnsplice (3142 snp-transcripts, average difference 31.03%) and the least from netutr (1468 snp-transcripts, average difference 37.26%), based on the netgene2 splice prediction tool and trained on a data set of utr splice patterns. the distribution of these results […]

PMCID: 3098058
PMID: 20067640
DOI: 10.1186/1471-2105-11-22

[…] protein coding context []., investigation whether prediction of sss could be accomplished without relying on protein coding potential started with simple tools such as spliceview[] and genio[]. the netutr[] tool has been specifically constructed to predict sss in 5' untranslated regions (utrs), therefore addressing the problem of splicing prediction without relying on protein coding features. […]

PMCID: 1526722
PMID: 16584568
DOI: 10.1186/1745-6150-1-10

[…] more conserved as compared to other oligos, which supports our assumption of their functional importance. the tool has been shown to outperform the spliceview, genesplicer, nnsplice, genio and netutr tools for the test set of human genes. splicescan outperforms all contemporary ab initio gene structural prediction tools on the set of 5' utr gene fragments., designed methods have many […]

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

NetUTR institution(s)
Center for Biological Sequence Analysis, Biocentrum-DTU, Technical University of Denmark, Lyngby, Denmark

NetUTR reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review NetUTR