Distances and numerical similarities in DNA repeats detection

Author

Pop, Petre G. ; Vaida, Mircea F.

Author_Institution

Comm. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2013

fDate

21-23 Nov. 2013

Firstpage

1

Lastpage

4

Abstract

Many of the methods for detecting repeated sequences are part of the digital signal processing (DSP) field and most of these methods use distances, similarities and consensus sequences to generate candidate sequences. This paper presents results obtained using a dedicated numerical representation and a mapping algorithm (with different DNA distances and consensus types) and a custom dot-plot analysis (with different similarities to represent DNA patterns) to isolate the position of DNA repeats with specific lengths.

Keywords

DNA; biological techniques; molecular biophysics; molecular configurations; numerical analysis; signal processing; DNA patterns; DNA repeats detection; DSP field; candidate sequences; custom dot-plot analysis; digital signal processing field; mapping algorithm; numerical representation; numerical similarities; repeated sequence detection; Algorithm design and analysis; Bioinformatics; DNA; Digital signal processing; Educational institutions; Image quality; Signal processing algorithms; DNA distances; DNA numerical representations; DNA repeats; dot-plot analysis; numerical similarities;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health and Bioengineering Conference (EHB), 2013

Conference_Location

Iasi

Print_ISBN

978-1-4799-2372-4

Type

conf

DOI

10.1109/EHB.2013.6707285

Filename

6707285