Literature DB >> 19942311

De novo prediction of structured RNAs from genomic sequences.

Jan Gorodkin1, Ivo L Hofacker, Elfar Torarinsson, Zizhen Yao, Jakob H Havgaard, Walter L Ruzzo.   

Abstract

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.

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Year:  2009        PMID: 19942311      PMCID: PMC4712260          DOI: 10.1016/j.tibtech.2009.09.006

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  76 in total

1.  Secondary structure alone is generally not statistically significant for the detection of noncoding RNAs.

Authors:  E Rivas; S R Eddy
Journal:  Bioinformatics       Date:  2000-07       Impact factor: 6.937

2.  The tedious task of finding homologous noncoding RNA genes.

Authors:  Peter Menzel; Jan Gorodkin; Peter F Stadler
Journal:  RNA       Date:  2009-10-27       Impact factor: 4.942

3.  Computational identification of non-coding RNAs in Saccharomyces cerevisiae by comparative genomics.

Authors:  John P McCutcheon; Sean R Eddy
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

4.  Structural implications of novel diversity in eucaryal RNase P RNA.

Authors:  Steven M Marquez; J Kirk Harris; Scott T Kelley; James W Brown; Scott C Dawson; Elisabeth C Roberts; Norman R Pace
Journal:  RNA       Date:  2005-04-05       Impact factor: 4.942

5.  Identification and classification of conserved RNA secondary structures in the human genome.

Authors:  Jakob Skou Pedersen; Gill Bejerano; Adam Siepel; Kate Rosenbloom; Kerstin Lindblad-Toh; Eric S Lander; Jim Kent; Webb Miller; David Haussler
Journal:  PLoS Comput Biol       Date:  2006-04-21       Impact factor: 4.475

6.  Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.

Authors:  Sebastian Will; Kristin Reiche; Ivo L Hofacker; Peter F Stadler; Rolf Backofen
Journal:  PLoS Comput Biol       Date:  2007-02-22       Impact factor: 4.475

7.  Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change.

Authors:  Andrew V Uzilov; Joshua M Keegan; David H Mathews
Journal:  BMC Bioinformatics       Date:  2006-03-27       Impact factor: 3.169

8.  Efficient pairwise RNA structure prediction and alignment using sequence alignment constraints.

Authors:  Robin D Dowell; Sean R Eddy
Journal:  BMC Bioinformatics       Date:  2006-09-04       Impact factor: 3.169

9.  Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction.

Authors:  Robin D Dowell; Sean R Eddy
Journal:  BMC Bioinformatics       Date:  2004-06-04       Impact factor: 3.169

Review 10.  The genetic signatures of noncoding RNAs.

Authors:  John S Mattick
Journal:  PLoS Genet       Date:  2009-04-24       Impact factor: 5.917

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  36 in total

1.  Prediction and characterization of noncoding RNAs in C. elegans by integrating conservation, secondary structure, and high-throughput sequencing and array data.

Authors:  Zhi John Lu; Kevin Y Yip; Guilin Wang; Chong Shou; Ladeana W Hillier; Ekta Khurana; Ashish Agarwal; Raymond Auerbach; Joel Rozowsky; Chao Cheng; Masaomi Kato; David M Miller; Frank Slack; Michael Snyder; Robert H Waterston; Valerie Reinke; Mark B Gerstein
Journal:  Genome Res       Date:  2010-12-22       Impact factor: 9.043

2.  Deep sequencing-based identification of small non-coding RNAs in Streptomyces coelicolor.

Authors:  Michael-Paul Vockenhuber; Cynthia M Sharma; Michaela G Statt; Denis Schmidt; Zhenjiang Xu; Sascha Dietrich; Heiko Liesegang; David H Mathews; Beatrix Suess
Journal:  RNA Biol       Date:  2011-05-01       Impact factor: 4.652

Review 3.  Evolution to the rescue: using comparative genomics to understand long non-coding RNAs.

Authors:  Igor Ulitsky
Journal:  Nat Rev Genet       Date:  2016-08-30       Impact factor: 53.242

4.  Data mining of functional RNA structures in genomic sequences.

Authors:  Shu-Yun Le; Bruce A Shapiro
Journal:  Wiley Interdiscip Rev Data Min Knowl Discov       Date:  2011-01-10

Review 5.  lincRNAs: genomics, evolution, and mechanisms.

Authors:  Igor Ulitsky; David P Bartel
Journal:  Cell       Date:  2013-07-03       Impact factor: 41.582

6.  Optimizing RNA structures by sequence extensions using RNAcop.

Authors:  Nikolai Hecker; Mikkel Christensen-Dalsgaard; Stefan E Seemann; Jakob H Havgaard; Peter F Stadler; Ivo L Hofacker; Henrik Nielsen; Jan Gorodkin
Journal:  Nucleic Acids Res       Date:  2015-08-17       Impact factor: 16.971

Review 7.  The amazing world of bacterial structured RNAs.

Authors:  Eric Westhof
Journal:  Genome Biol       Date:  2010-03-15       Impact factor: 13.583

8.  GraphClust: alignment-free structural clustering of local RNA secondary structures.

Authors:  Steffen Heyne; Fabrizio Costa; Dominic Rose; Rolf Backofen
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

9.  RIsearch: fast RNA-RNA interaction search using a simplified nearest-neighbor energy model.

Authors:  Anne Wenzel; Erdinç Akbasli; Jan Gorodkin
Journal:  Bioinformatics       Date:  2012-08-24       Impact factor: 6.937

10.  Profiling microRNAs in lung tissue from pigs infected with Actinobacillus pleuropneumoniae.

Authors:  Agnieszka Podolska; Christian Anthon; Mads Bak; Niels Tommerup; Kerstin Skovgaard; Peter Mh Heegaard; Jan Gorodkin; Susanna Cirera; Merete Fredholm
Journal:  BMC Genomics       Date:  2012-09-06       Impact factor: 3.969

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