SBARS: Fast creation of dotplots for DNA sequences on different scales using GA-,GC-content

6Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

Structural analysis of long DNA fragments, including chromosomes and whole genomes, is one of the main challenges in modern bioinformatics. Here, we propose an original approach based on spectral methods and its implementation called SBARS (Spectral-Based Approach for Repeats Search. The main idea of our approach is that repeated DNA structures are recognized not within the nucleotide sequence directly but within the function derived from this sequence. This allows us to investigate nucleotide sequences on different scales and decrease time complexity for dotplot creation down to. © 2014 The Author. Published by Oxford University Press. All rights reserved.

References Powered by Scopus

MAFFT: A novel method for rapid multiple sequence alignment based on fast Fourier transform

12117Citations
N/AReaders
Get full text

Gepard: A rapid and sensitive tool for creating dotplots on genome scale

537Citations
N/AReaders
Get full text

Spectral repeat finders (SRF): Identification of repetitive sequences using Fourier transformation

147Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A wavelet-based feature vector model for DNA clustering

17Citations
N/AReaders
Get full text

SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform

13Citations
N/AReaders
Get full text

ImtRDB: A database and software for mitochondrial imperfect interspersed repeats annotation

7Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Pyatkov, M. I., & Pankratov, A. N. (2014). SBARS: Fast creation of dotplots for DNA sequences on different scales using GA-,GC-content. Bioinformatics, 30(12), 1765–1766. https://doi.org/10.1093/bioinformatics/btu095

Readers over time

‘14‘15‘16‘18‘19‘23‘2402468

Readers' Seniority

Tooltip

Researcher 6

60%

PhD / Post grad / Masters / Doc 3

30%

Professor / Associate Prof. 1

10%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 8

73%

Biochemistry, Genetics and Molecular Bi... 2

18%

Computer Science 1

9%

Article Metrics

Tooltip
Mentions
References: 1

Save time finding and organizing research with Mendeley

Sign up for free
0