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Search for: trascription-factor-binding-sites--tfbs
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    A Thesis Submitted in Partial Fulfillment of the Requirement for the Degree of Master of Science in Electrical Engineering

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Mahsa (Author) ; Jahed, Mehran (Supervisor) ; Motahhari, Abolfazl (Co-Advisor)
    Abstract
    Dnase I Hypersensitive Sites (DHSs) are known as comprehensive markers of DNA regulatory elements. The main function of regulatory elements is repressing or enhancing transcription of genes. Hence, the recruitment of the data is prevalent in many studies of genome. One of the applications of this data is to utilize it to predict active regulatory regions (Transcription Factor Binding Sites).There are different means to do this, divided in three major groups: first, the methods only use the number of DNase-seq reads that surround a candidate binding site. While robust, these methods do not reflect the shape of the signal. A second strategy uses a variety of approaches to model and identify... 

    Motif Finding in DNA Sequences by Using Machine Learning Approach

    , M.Sc. Thesis Sharif University of Technology Haghir Ebrahimabadi, Mohammad (Author) ; Fatemizadeh, Emadeddin (Supervisor)
    Abstract
    Motifs are patterns which can be extracted from specific subsequences of promoter region of some related genes. Transcription factor proteins bind to these subsequences and play a significant role in gene expression regulation.
    Motif discovery is a challenging problem in molecular biology and has been attracting researcher’s attention for years. Different kind of data and computational methods have been used to unravel this problem, but there is still room for improvement. In this study, our goal was to develop a method with the ability to identify all the TFBS signals, including known and unknown, inside the input set of sequences. We developed a clustering method specialized as part...