Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/337
Title: Finding Statistically Significant Repeats in Nucleic Acids and Proteins
Authors: Jelovic, Ana M
Mitić, Nenad 
Eshafah, Samira
Beljanski, Milos V
Affiliations: Informatics and Computer Science 
Keywords: DNA;RNA;protein sequences;repeats;statistically significant
Issue Date: 2018
Journal: Journal of computational biology : a journal of computational molecular cell biology
Abstract: 
DNA repeats have great importance for biological research and a large number of tools for determining repeats have been developed. Herein we define a method for extracting a statistically significant subset of a determined set of repeats. Our aim was to identify a subset of repeats in the input sequences that are not expected to occur with a number of their appearances in a random sequence of the same length. It is expected that results obtained in such manner would reduce the quantity of processed material and could thereby represent a more important biological signal. With DNA, RNA, and protein sequences serving as input material, we also examined the possibility of statistical filtering of repeats in sequences over an arbitrary alphabet. A new method for selecting statistically significant repeats from a set of determined repeats has been defined. The proposed method was tested on a large number of randomly generated sequences. The application of the method on biological sequences revealed that for some viruses, shorter repeats are more statistically significant than longer ones because of their frequent appearance, whereas for bacteria, the majority of identified repeats are statistically significant.
URI: https://research.matf.bg.ac.rs/handle/123456789/337
ISSN: 10665277
DOI: 10.1089/cmb.2017.0046
Appears in Collections:Research outputs

Show full item record

SCOPUSTM   
Citations

5
checked on Dec 18, 2024

Page view(s)

19
checked on Dec 24, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.