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Enhancing Motif Finding with MotifClick: A Tool for Predicting cis-Regulatory Binding Sites

Discover MotifClick, a cutting-edge tool for predicting cis-regulatory binding sites by merging cliques, as introduced by Shaoqiang Zhang et al. in their BMC Bioinformatics paper (2011). This tool is essential for computational genomic analyses, enabling researchers to identify and study motifs that play a critical role in gene regulation. Learn how to download data from NCBI's FTP and utilize BLAST for local alignment searches using the Linux terminal. Explore the intersection of technology and biology with our upcoming lecture.

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Enhancing Motif Finding with MotifClick: A Tool for Predicting cis-Regulatory Binding Sites

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  1. Computational Genomics USA: http://bioinfo.uncc.edu/szhang Campus: http://it.tjnu.edu.cn/sqzhang QQ group: 255757939

  2. NCBI: NationalCenterforBiotechnologyInformation http://www.ncbi.nlm.nih.gov/

  3. PubMed Papers search from PubMed

  4. Download data from NCBI’s FTP

  5. BLAST: Basic local alignment search tool

  6. Using Linux terminal to visit FTP ftp ftp.ncbi.nih.gov User: anonymous PW: anonymous

  7. Next lecture • Motif finding problem • MotifClick: • Shaoqiang Zhang, Shan Li, Meng Niu, Phuc Pham, and Zhengchang Su, MotifClick: prediction of cis-regulatory binding sites via merging cliques, BMC Bioinformatics 2011, 12:238; PMID: 21679436

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