A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure.

A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Research Abstract Details 

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A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Abstract Text:

Yair Horesh,Ron Unger,

Recently, there has been much interest in exploring the universe of non-protein coding RNA molecules that operate in the cell. We suggested an approach using a simple two-dimensional representation of RNA molecules that can identify common structural features of RNA molecules. Here, we address a common situation in which there is a large and diverse population of candidate molecules, and the task is to identify a small subset (or subsets) of RNA molecules that share a common structure. With certain constraints, our algorithm enumerates all possible sets of RNA molecules that have a common structure by first grouping together all molecules that have a single common structural feature and, using an iterative approach, search for subsets that share additional structural motifs. In a computational experiment, we were able to detect members of three small classes of RNA molecules, each containing several dozen members that were mixed in a population of 2778 non-coding sequences common to two trypanosome species.

A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Publishing Authors By Initials

Y Horesh,R Unger,

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A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: International journal of bioinformatics research a

VOLUME: 1

Page Numbers: 292-304

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ISSN: 1744-5485

DAY: 30

MONTH: 11

YEAR: 2005

A bottom-up clustering algorithm to detect ncRNA molecules with a common secondary structure. Information

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LANGUAGE: eng

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Country: Switzerland

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MEDLINETA: Int J Bioinform Res Appl

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