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Cites:

Information Journal Paper

Title

Review of Different Sequence Motif Finding Algorithms

Pages

  130-148

Abstract

 The DNA motif discovery is a primary step in many systems for studying gene func-tion. Motif discovery plays a vital role in identification of Transcription Factor Binding Sites (TFBSs) that help in learning the mechanisms for regulation of gene expression. Over the past decades, different Algorithms were used to design fast and accurate motif discovery tools. These Algorithms are generally classified into Consensus or prob-abilistic approaches that many of them are time-consuming and easily trapped in a local optimum. Nature-inspired Algorithms and many of combinatorial Algorithms are recently proposed to overcome these problems. This paper presents a general clas-sification of motif discovery Algorithms with new sub-categories that facilitate build-ing a successful motif discovery algorithm. It also presents a summary of comparison between them.

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    Cite

    APA: Copy

    Hashim, Fatma A., MABROUK, MAI S., & Al Atabany, Walid. (2019). Review of Different Sequence Motif Finding Algorithms. AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB), 11(2), 130-148. SID. https://sid.ir/paper/314032/en

    Vancouver: Copy

    Hashim Fatma A., MABROUK MAI S., Al Atabany Walid. Review of Different Sequence Motif Finding Algorithms. AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB)[Internet]. 2019;11(2):130-148. Available from: https://sid.ir/paper/314032/en

    IEEE: Copy

    Fatma A. Hashim, MAI S. MABROUK, and Walid Al Atabany, “Review of Different Sequence Motif Finding Algorithms,” AVICENNA JOURNAL OF MEDICAL BIOTECHNOLOGY (AJMB), vol. 11, no. 2, pp. 130–148, 2019, [Online]. Available: https://sid.ir/paper/314032/en

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