Open Access
Open access
volume 1962 pages 1-14

tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences

Publication typeBook Chapter
Publication date2019-04-24
scimago Q4
SJR0.354
CiteScore2.1
Impact factor
ISSN10643745, 19406029
Abstract
Transfer RNAs are the largest, most complex non-coding RNA family, universal to all living organisms. tRNAscan-SE has been the de facto tool for predicting tRNA genes in whole genomes. The newly developed version 2.0 has incorporated advanced methodologies with improved probabilistic search software and a suite of new gene models, enabling better functional classification of predicted genes. This chapter describes the use of the UNIX command-driven and online web versions, illustrating different search modes and options.
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GOST Copy
Chan P. P., Lowe T. M. tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences // Methods in Molecular Biology. 2019. Vol. 1962. pp. 1-14.
GOST all authors (up to 50) Copy
Chan P. P., Lowe T. M. tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences // Methods in Molecular Biology. 2019. Vol. 1962. pp. 1-14.
RIS |
Cite this
RIS Copy
TY - GENERIC
DO - 10.1007/978-1-4939-9173-0_1
UR - https://doi.org/10.1007/978-1-4939-9173-0_1
TI - tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences
T2 - Methods in Molecular Biology
AU - Chan, Patricia P.
AU - Lowe, Todd M.
PY - 2019
DA - 2019/04/24
PB - Springer Nature
SP - 1-14
VL - 1962
PMID - 31020551
SN - 1064-3745
SN - 1940-6029
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2019_Chan,
author = {Patricia P. Chan and Todd M. Lowe},
title = {tRNAscan-SE: Searching for tRNA Genes in Genomic Sequences},
publisher = {Springer Nature},
year = {2019},
volume = {1962},
pages = {1--14},
month = {apr}
}