tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes
High-throughput genome sequencing continues to grow the need for rapid, accurate genome annotation and tRNA genes constitute the largest family of essential, ever-present non-coding RNA genes. Newly developed tRNAscan-SE 2.0 has advanced the state-of-the-art methodology in tRNA gene detection and fu...
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Oxford University Press
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987944/ |
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pubmed-49879442016-08-22 tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes Lowe, Todd M. Chan, Patricia P. Web Server issue High-throughput genome sequencing continues to grow the need for rapid, accurate genome annotation and tRNA genes constitute the largest family of essential, ever-present non-coding RNA genes. Newly developed tRNAscan-SE 2.0 has advanced the state-of-the-art methodology in tRNA gene detection and functional prediction, captured by rich new content of the companion Genomic tRNA Database. Previously, web-server tRNA detection was isolated from knowledge of existing tRNAs and their annotation. In this update of the tRNAscan-SE On-line resource, we tie together improvements in tRNA classification with greatly enhanced biological context via dynamically generated links between web server search results, the most relevant genes in the GtRNAdb and interactive, rich genome context provided by UCSC genome browsers. The tRNAscan-SE On-line web server can be accessed at http://trna.ucsc.edu/tRNAscan-SE/. Oxford University Press 2016-07-08 2016-05-12 /pmc/articles/PMC4987944/ /pubmed/27174935 http://dx.doi.org/10.1093/nar/gkw413 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Lowe, Todd M. Chan, Patricia P. |
spellingShingle |
Lowe, Todd M. Chan, Patricia P. tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
author_facet |
Lowe, Todd M. Chan, Patricia P. |
author_sort |
Lowe, Todd M. |
title |
tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
title_short |
tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
title_full |
tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
title_fullStr |
tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
title_full_unstemmed |
tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes |
title_sort |
trnascan-se on-line: integrating search and context for analysis of transfer rna genes |
description |
High-throughput genome sequencing continues to grow the need for rapid, accurate genome annotation and tRNA genes constitute the largest family of essential, ever-present non-coding RNA genes. Newly developed tRNAscan-SE 2.0 has advanced the state-of-the-art methodology in tRNA gene detection and functional prediction, captured by rich new content of the companion Genomic tRNA Database. Previously, web-server tRNA detection was isolated from knowledge of existing tRNAs and their annotation. In this update of the tRNAscan-SE On-line resource, we tie together improvements in tRNA classification with greatly enhanced biological context via dynamically generated links between web server search results, the most relevant genes in the GtRNAdb and interactive, rich genome context provided by UCSC genome browsers. The tRNAscan-SE On-line web server can be accessed at http://trna.ucsc.edu/tRNAscan-SE/. |
publisher |
Oxford University Press |
publishDate |
2016 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987944/ |
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1613628928920911872 |