Literature DB >> 19059941

Structural profiles of human miRNA families from pairwise clustering.

Bogumił Kaczkowski1, Elfar Torarinsson, Kristin Reiche, Jakob Hull Havgaard, Peter F Stadler, Jan Gorodkin.   

Abstract

UNLABELLED: MicroRNAs (miRNAs) are a group of small, approximately 21 nt long, riboregulators inhibiting gene expression at a post-transcriptional level. Their most distinctive structural feature is the foldback hairpin of their precursor pre-miRNAs. Even though each pre-miRNA deposited in miRBase has its secondary structure already predicted, little is known about the patterns of structural conservation among pre-miRNAs. We address this issue by clustering the human pre-miRNA sequences based on pairwise, sequence and secondary structure alignment using FOLDALIGN, followed by global multiple alignment of obtained clusters by WAR. As a result, the common secondary structure was successfully determined for four FOLDALIGN clusters: the RF00027 structural family of the Rfam database and three clusters with previously undescribed consensus structures. AVAILABILITY: http://genome.ku.dk/resources/mirclust

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Year:  2008        PMID: 19059941     DOI: 10.1093/bioinformatics/btn628

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  27 in total

1.  Systematic analysis of genomic organization and heterogeneities of miRNA cluster in vertebrates.

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Review 2.  Folding and finding RNA secondary structure.

Authors:  David H Mathews; Walter N Moss; Douglas H Turner
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3.  Nematode sbRNAs: homologs of vertebrate Y RNAs.

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4.  Discovering non-coding RNA elements in Drosophila 3' untranslated regions.

Authors:  Cuncong Zhong; Justen Andrews; Shaojie Zhang
Journal:  Int J Bioinform Res Appl       Date:  2014

5.  Identification of non-coding RNAs with a new composite feature in the Hybrid Random Forest Ensemble algorithm.

Authors:  Supatcha Lertampaiporn; Chinae Thammarongtham; Chakarida Nukoolkit; Boonserm Kaewkamnerdpong; Marasri Ruengjitchatchawalya
Journal:  Nucleic Acids Res       Date:  2014-04-25       Impact factor: 16.971

Review 6.  De novo prediction of structured RNAs from genomic sequences.

Authors:  Jan Gorodkin; Ivo L Hofacker; Elfar Torarinsson; Zizhen Yao; Jakob H Havgaard; Walter L Ruzzo
Journal:  Trends Biotechnol       Date:  2009-11-26       Impact factor: 19.536

7.  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

8.  Navigating the unexplored seascape of pre-miRNA candidates in single-genome approaches.

Authors:  Nuno D Mendes; Steffen Heyne; Ana T Freitas; Marie-France Sagot; Rolf Backofen
Journal:  Bioinformatics       Date:  2012-10-10       Impact factor: 6.937

9.  miRFam: an effective automatic miRNA classification method based on n-grams and a multiclass SVM.

Authors:  Jiandong Ding; Shuigeng Zhou; Jihong Guan
Journal:  BMC Bioinformatics       Date:  2011-05-28       Impact factor: 3.169

10.  Inferring potential microRNA-microRNA associations based on targeting propensity and connectivity in the context of protein interaction network.

Authors:  Jie Sun; Meng Zhou; Haixiu Yang; Jiaen Deng; Letian Wang; Qianghu Wang
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

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