De novo prediction of structured RNAs from genomic sequences
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De novo prediction of structured RNAs from genomic sequences. / Gorodkin, Jan; Hofacker, Ivo L.; Þórarinsson, Elfar; Yao, Zizhen; Havgaard, Jakob Hull; Ruzzo, Walter L.
I: Trends in Biotechnology, Bind 28, Nr. 1, 2010, s. 9-19.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - De novo prediction of structured RNAs from genomic sequences
AU - Gorodkin, Jan
AU - Hofacker, Ivo L.
AU - Þórarinsson, Elfar
AU - Yao, Zizhen
AU - Havgaard, Jakob Hull
AU - Ruzzo, Walter L.
PY - 2010
Y1 - 2010
N2 - Growing recognition of the numerous, diverse and important roles played by non-coding RNA in all organisms motivates better elucidation of these cellular components. Comparative genomics is a powerful tool for this task and is arguably preferable to any high-throughput experimental technology currently available, because evolutionary conservation highlights functionally important regions. Conserved secondary structure, rather than primary sequence, is the hallmark of many functionally important RNAs, because compensatory substitutions in base-paired regions preserve structure. Unfortunately, such substitutions also obscure sequence identity and confound alignment algorithms, which complicates analysis greatly. This paper surveys recent computational advances in this difficult arena, which have enabled genome-scale prediction of cross-species conserved RNA elements. These predictions suggest that a wealth of these elements indeed exist
AB - Growing recognition of the numerous, diverse and important roles played by non-coding RNA in all organisms motivates better elucidation of these cellular components. Comparative genomics is a powerful tool for this task and is arguably preferable to any high-throughput experimental technology currently available, because evolutionary conservation highlights functionally important regions. Conserved secondary structure, rather than primary sequence, is the hallmark of many functionally important RNAs, because compensatory substitutions in base-paired regions preserve structure. Unfortunately, such substitutions also obscure sequence identity and confound alignment algorithms, which complicates analysis greatly. This paper surveys recent computational advances in this difficult arena, which have enabled genome-scale prediction of cross-species conserved RNA elements. These predictions suggest that a wealth of these elements indeed exist
U2 - 10.1016/j.tibtech.2009.09.006
DO - 10.1016/j.tibtech.2009.09.006
M3 - Journal article
VL - 28
SP - 9
EP - 19
JO - Trends in Biotechnology
JF - Trends in Biotechnology
SN - 0167-7799
IS - 1
ER -
ID: 18363783