DocumentCode :
2045703
Title :
Identification method of transcription factor binding sites based on DNase-Seq signal
Author :
Peichao Sang ; Duojiao Chen ; Siwen Xu ; Weixing Feng
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1665
Lastpage :
1669
Abstract :
Revealing the mechanism of gene regulation is one of central challenge in modern genomics research. Since transcription factors play vital roles in process of gene regulation, identification of their binding sites is quite important. In order to detect transcription factor binding sites more accurately and efficiently, DNase-Seq technology arises. In the study, we proposed a method to identify transcription factor binding sites based on DNase-Seq signals. Firstly, DNase-Seq data was extracted and processed to enhance the binding sites. Then, a statistical model was designed to depict pattern of particular transcription factor binding sites with sequence information and DNase-seq signals. With the model, the specific transcription factor binding sites can be predicted. In the experiment about C-jun transcription factor, the good prediction performance of its binding sites proves the validity of the proposed method.
Keywords :
DNA; bioinformatics; bonds (chemical); data analysis; enzymes; genetics; genomics; molecular biophysics; molecular configurations; sequences; statistical analysis; C-jun transcription factor; DNase-Seq data extraction; DNase-Seq data processing; DNase-Seq signal; DNase-Seq technology; binding site enhancement; gene regulation mechanism; modern genomics research; sequence information; statistical model; transcription factor binding site identification; transcription factor binding site pattern; transcription factor binding site prediction; Bioinformatics; DNA; Data mining; Feature extraction; Genomics; Sequential analysis; Training; Binding Site; DNase-Seq; Transcription Factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237735
Filename :
7237735
Link To Document :
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