Describing the Structural Diversity within an RNA's Ensemble

نویسنده

  • Joshua S. Martin
چکیده

RNA is usually classified as either structured or unstructured; however, neither category is adequate in describing the diversity of secondary structures expected in biological systems We describe this diversity within the ensemble of structures by using two different metrics: the average Shannon entropy and the ensemble defect. The average Shannon entropy is a measure of the structural diversity calculated from the base pair probability matrix. The ensemble defect, a tool in identifying optimal sequences for a given structure, is a measure of the average number of structural differences between a target structure and all the structures that make up the ensemble, scaled to the length of the sequence. In this paper, we show examples and discuss various uses of these metrics in both structured and unstructured RNA. By exploring how these two metrics describe RNA as an ensemble of different structures, as would be found in biological systems, it will push the field beyond the standard “structured” and “unstructured” categorization.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A new ensemble clustering method based on fuzzy cmeans clustering while maintaining diversity in ensemble

An ensemble clustering has been considered as one of the research approaches in data mining, pattern recognition, machine learning and artificial intelligence over the last decade. In clustering, the combination first produces several bases clustering, and then, for their aggregation, a function is used to create a final cluster that is as similar as possible to all the cluster bundles. The inp...

متن کامل

Classifier Ensemble Framework: a Diversity Based Approach

Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...

متن کامل

Exploring the repertoire of RNA secondary motifs using graph theory; implications for RNA design.

Understanding the structural repertoire of RNA is crucial for RNA genomics research. Yet current methods for finding novel RNAs are limited to small or known RNA families. To expand known RNA structural motifs, we develop a two-dimensional graphical representation approach for describing and estimating the size of RNA's secondary structural repertoire, including naturally occurring and other po...

متن کامل

Relationship between Structural Diversity and Performance of Multiple Classifiers for Decision Support

The paper presents the investigation and implementation of the relationship between diversity and the performance of multiple classifiers on classification accuracy. The study is critical as to build classifiers that are strong and can generalize better. The parameters of the neural network within the committee were varied to induce diversity; hence structural diversity is the focus for this st...

متن کامل

Genetic diversity within the Iranian spiny-tailed lizards and predicting species distribution in climate change conditions

There are different methods to investigate the effects of climatic fluctuations on the biota, two of which, molecular phylogeography and SDM, are the most useful tools to trace the past climate induced modifications on species’ geographic distributions. In this study, seven samples were collected from the species distribution range in Iran for the purpose of measuring the genetic variation with...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Entropy

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2014