Iterative sequential Monte Carlo algorithm for motif discovery-Reference-Cited by-同舟云学术

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Iterative sequential Monte Carlo algorithm for motif discovery

Published:2016-07 Issue:5 Volume:10 Page:504-513
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Al Bataineh Mohammad¹,Al‐qudah Zouhair²,Al‐Zaben Awad³

Affiliation:

1. Telecommunications Engineering DepartmentYarmouk UniversityIrbidJordan

2. Department of Electrical and Communication EngineeringAl‐Hussein bin Talal UniversityMa'anJordan

3. Department of Biomedical Systems and Medical InformaticsYarmouk UniversityIrbidJordan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2014.0356

Reference40 articles.

1. Identifying DNA and protein patterns with statistically significant alignments of multiple sequences

2. Consensus sequence zen;Schneider T.D.;Appl. Bioinf.,2002

3. Finding Motifs Using Random Projections

4. Yu Q. Huo H. Zhang Y.et al: ‘PairMotif: a new pattern‐driven algorithm for planted (L D) DNA motif search’ 2012

5. Voting algorithms for discovering long motifs the research was supported in parts by the Rgc Grant Hku 7135/04e;Chin F.Y.;Inst. Infocomm Res. (Singapore),2005

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sequence Alignment;Bioinformatics in Rice Research;2021

2. Comparative Analysis of DNA Motif Discovery Algorithms: A Systemic Review;Current Cancer Therapy Reviews;2019-02-22

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