Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets

Rajalakshmi Selvaraj, Venu Madhav Kuthadi, Abhishek Ranjan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The basis of bioinformatics is the extraction of motifs from the sequences. Pattern emerging continuously either over a string or inside the same string are the significant objects for identifying. The continuous patterns are referred to be motifs and their detection is referred as motif interference or motif extraction. The most significant problem in biology is the motif search. This issue normally needs a voluminous data for detecting the short patterns of interest. Basically, we look at the issue of mining structured motifs which can allow the variable length gaps between simple motif components. Here in this research paper, we present a novel algorithm which is mainly used to detect the continuous pattern with a diversity of definitions of motif model and it is called as FLAME (Flexible and Accurate motif Detector). It also detects the pattern if it is exist so far. By using both the synthetic and real dataset we demonstrate that the FLAME algorithm is scalable, fast and outperforms the present algorithms that are available.

Original languageEnglish
Title of host publicationProceedings of the IADIS International Conference Information Systems 2012, IS 2012
EditorsPedro Isaias, Luis Rodrigues, Miguel Baptista Nunes, Philip Powell
PublisherIADIS
Pages362-367
Number of pages6
ISBN (Electronic)9789728939687
Publication statusPublished - Jan 1 2012
EventIADIS International Conference on Information Systems 2012, IS 2012 - Berlin, Germany
Duration: Mar 10 2012Mar 12 2012

Other

OtherIADIS International Conference on Information Systems 2012, IS 2012
CountryGermany
CityBerlin
Period3/10/123/12/12

Fingerprint

Detectors
Bioinformatics

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

Cite this

Selvaraj, R., Kuthadi, V. M., & Ranjan, A. (2012). Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets. In P. Isaias, L. Rodrigues, M. B. Nunes, & P. Powell (Eds.), Proceedings of the IADIS International Conference Information Systems 2012, IS 2012 (pp. 362-367). IADIS.
Selvaraj, Rajalakshmi ; Kuthadi, Venu Madhav ; Ranjan, Abhishek. / Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets. Proceedings of the IADIS International Conference Information Systems 2012, IS 2012. editor / Pedro Isaias ; Luis Rodrigues ; Miguel Baptista Nunes ; Philip Powell. IADIS, 2012. pp. 362-367
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Selvaraj, R, Kuthadi, VM & Ranjan, A 2012, Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets. in P Isaias, L Rodrigues, MB Nunes & P Powell (eds), Proceedings of the IADIS International Conference Information Systems 2012, IS 2012. IADIS, pp. 362-367, IADIS International Conference on Information Systems 2012, IS 2012, Berlin, Germany, 3/10/12.

Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets. / Selvaraj, Rajalakshmi; Kuthadi, Venu Madhav; Ranjan, Abhishek.

Proceedings of the IADIS International Conference Information Systems 2012, IS 2012. ed. / Pedro Isaias; Luis Rodrigues; Miguel Baptista Nunes; Philip Powell. IADIS, 2012. p. 362-367.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Selvaraj R, Kuthadi VM, Ranjan A. Flame -flexible and accurate motif detector for continuous pattern discovery in sequence data sets. In Isaias P, Rodrigues L, Nunes MB, Powell P, editors, Proceedings of the IADIS International Conference Information Systems 2012, IS 2012. IADIS. 2012. p. 362-367