Journal
NUCLEIC ACIDS RESEARCH
Volume 44, Issue W1, Pages W54-W57Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkw413
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Funding
- National Human Genome Research Institute, National Institutes of Health [HG006753-02]
- NHGRI/NIH [HG006753-02]
- University of California, Santa Cruz department chair research stipend
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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.
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