학술논문

A Survey on Motif Discovery Algorithms for analysis of Gene Sequences of Interest
Document Type
Conference
Source
2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON) Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON), 2021 International Conference on. 1:275-278 Nov, 2021
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Deep learning
Drugs
Sequential analysis
Machine learning algorithms
Forensics
Probabilistic logic
Biology
Motifs
Bioinformatics
DNA
Gene Sequences
Transcription Factor Binding Sites (TFBS)
Language
Abstract
Motif Discovery algorithms are used to identify meaningful patterns in gene sequences. The meaningful patterns called motifs are of significant biological importance. They are used in Bioinformatic applications like early detection of diseases, drug design, Environmental Health research, DNA Forensics and so on. Many different algorithms and tools have been developed for motif discovery. The algorithms developed have their own advantages and limitations. Motif discovery is still a complex challenge in the field of bio-informatics for biologists and computer researchers. This paper presents the working, advantages and limitations of the some of the important motif discovery algorithms and their subcategories. The paper also gives a comparison of different motif discovery algorithms and the direction of future work is also discussed