Structural profiles of human miRNA families from pairwise clustering
Author(s) -
Bogumił Kaczkowski,
Elfar Torarinsson,
Kristin Reiche,
Jakob H. Havgaard,
Peter F. Stadler,
Jan Gorodkin
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn628
Subject(s) - mirbase , biology , computational biology , cluster analysis , pairwise comparison , protein secondary structure , genetics , microrna , gene , human genome , genome , computer science , artificial intelligence , biochemistry
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.
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