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Zare-Mirakabad, F., Ahrabian, H., Sadeghi, M., Hashemifar, S., Nowzari-Dalini, A. and Goliaei, B. (2009) Genetic algorithm for dyad pattern finding in DNA sequences. Genes & Genetic Systems, 84, 81-93. doi:10.1266/ggs.84.81

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• TITLE: In silico tests on sequence motif significances for human tissue specific genes

  AUTHORS: Xiujun Gong, Hualin Xu

  KEYWORDS: Tissue Specific Genes; Hypothesis Test; Tissue Rich Motif; Tissue Even Motif

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.6 No.5, May 27, 2013

  ABSTRACT: Identification and analysis of tissue-specific (TS) genes and their regulatory activities play an important role in understanding the mechanisms of the organism, disease diagnosis and drug design. Although so far we are not clear about the mechanisms totally, the sequence features of TS genes are becoming an important clue. In this paper we used an integrated pipeline to discover sequences motifs for the promoter regions of TS genes. To test the significances of those motifs in a specific tissue, we used hypotheses test approaches including Bayesian hypothesis, Binomial distribution and traditional z-test. We finally got 2784, 1204 and 703 motifs respectively out of 3244 motifs obtained in discovery phase using above three tests from 3954 TS genes across 83 human tissues. 52.7% of those motifs can be found in public databases available.