10.3389/fgene.2018.00671.s002
Santiago Radío
Santiago
Radío
Rafael Sebastián Fort
Rafael Sebastián
Fort
Beatriz Garat
Beatriz
Garat
José Sotelo-Silveira
José
Sotelo-Silveira
Pablo Smircich
Pablo
Smircich
Data_Sheet_2_UTRme: A Scoring-Based Tool to Annotate Untranslated Regions in Trypanosomatid Genomes.docx
Frontiers
2018
post transcriptional regulation
untranslated region
UTR prediction software
prediction score
GUI
2018-12-18 10:58:37
Dataset
https://frontiersin.figshare.com/articles/dataset/Data_Sheet_2_UTRme_A_Scoring-Based_Tool_to_Annotate_Untranslated_Regions_in_Trypanosomatid_Genomes_docx/7477916
<p>Most signals involved in post-transcriptional regulatory networks are located in the untranslated regions (UTRs) of the mRNAs. Therefore, to deepen our understanding of gene expression regulation, delimitation of these regions with high accuracy is needed. The trypanosomatid lineage includes a variety of parasitic protozoans causing a significant worldwide burden on human health. Given their peculiar mechanisms of gene expression, these organisms depend on post-transcriptional regulation as the main level of gene expression control. In this context, the definition of the UTR regions becomes of key importance. We have developed UTR-mini-exon (UTRme), a graphical user interface (GUI) stand-alone application to identify and annotate 5′ and 3′ UTR regions in a highly accurate way. UTRme implements a multiple scoring system tailored to address the issue of false positive UTR assignment that frequently arise because of the characteristics of the intergenic regions. Even though it was developed for trypanosomatids, the tool can be used to predict 3′ sites in any eukaryote and 5′ UTRs in any organism where trans-splicing occurs (such as the model organism C. elegans). UTRme offers a way for non-bioinformaticians to precisely determine UTRs from transcriptomic data. The tool is freely available via the conda and github repositories.</p>