Publications

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2016
Badr, E., M. ElHefnawi, and L. S. Heath, "Computational Identification of Tissue-Specific Splicing Regulatory Elements in Human Genes from RNA-Seq Data", PLOS ONE, vol. 11, no. 11: Public Library of Science, pp. 1-18, 11, 2016. AbstractWebsite

Alternative splicing is a vital process for regulating gene expression and promoting proteomic diversity. It plays a key role in tissue-specific expressed genes. This specificity is mainly regulated by splicing factors that bind to specific sequences called splicing regulatory elements (SREs). Here, we report a genome-wide analysis to study alternative splicing on multiple tissues, including brain, heart, liver, and muscle. We propose a pipeline to identify differential exons across tissues and hence tissue-specific SREs. In our pipeline, we utilize the DEXSeq package along with our previously reported algorithms. Utilizing the publicly available RNA-Seq data set from the Human BodyMap project, we identified 28,100 differentially used exons across the four tissues. We identified tissue-specific exonic splicing enhancers that overlap with various previously published experimental and computational databases. A complicated exonic enhancer regulatory network was revealed, where multiple exonic enhancers were found across multiple tissues while some were found only in specific tissues. Putative combinatorial exonic enhancers and silencers were discovered as well, which may be responsible for exon inclusion or exclusion across tissues. Some of the exonic enhancers are found to be co-occurring with multiple exonic silencers and vice versa, which demonstrates a complicated relationship between tissue-specific exonic enhancers and silencers.

2015
Badr, E., and L. S. Heath, "CoSREM: a graph mining algorithm for the discovery of combinatorial splicing regulatory elements", BMC bioinformatics, vol. 16, no. 1: BioMed Central Ltd, pp. 285, 2015. Abstract
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2014
Badr, E., and L. S. Heath, "Identifying Splicing Regulatory Elements with de Bruijn Graphs", Journal of Computational Biology, vol. 21, no. 12: Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, pp. 880–897, 2014. Abstract
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Marakeby, H., E. Badr, H. Torkey, Y. Song, S. Leman, C. L. Monteil, L. S. Heath, and B. A. Vinatzer, "A system to automatically classify and name any individual genome-sequenced organism independently of current biological classification and nomenclature", PloS one, vol. 9, no. 2: Public Library of Science, pp. e89142, 2014. Abstract
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2009
Abdou, S., A. Fahmy, I. Hosney, and E. Badr, Artificial tutor for Arabic handwriting training, , 2009. Abstract
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Badr, E., H. Y. Abdelazeem, and S. Elola, "A study on different feature extraction techniques/ classifiers for an Arabic online handwriting recognition system", Egyptian Informatics Journal: Elsevier, 2009. Abstract
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