Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/345644
Title: Development of intelligent Algorithms for analyzing Transcription factor binding site in Protein binding microarray data
Researcher: Shaik Hussain, S I
Guide(s): Rani, C
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Transcription
microarray
University: Anna University
Completed Date: 2020
Abstract: Identification of Transcription Factor Binding Site (TFBS) in a Deoxyribonucleic Acid (DNA) sequence is a challenging task in building the motif model since, proteins can bind to DNA with different binding intensities. Protein Binding Microarray (PBM) technology is developed to measure the binding preference of a protein on a large scale to a complete set of k-mers in vitro. Hence, many researchers have applied this PBM technique onto many Transcription Factors (TFs), and as a result, a large amount of PBM data has been accumulated and deposited into the Uniprobe database. The PBM is a robust methodology that provides a sensitive and flexible platform to examine TF DNA binding specificity and allows us to determine the DNA binding specificity of proteins in an easy way. newline
Pagination: xix, 106p
URI: http://hdl.handle.net/10603/345644
Appears in Departments:Faculty of Information and Communication Engineering

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