Discovering Gene Regulatory Elements Using Coverage-based Heuristics.

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2018)

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摘要
Data mining algorithms and sequencing methods (such as RNA-seq and ChIP-seq) are being combined to discover genomic regulatory motifs that relate to a variety of phenotypes. However, motif discovery algorithms often produce very long lists of putative transcription factor binding sites, hindering the discovery of phenotype-related regulatory elements by making it difficult to select a manageable s...
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Bioinformatics,Genomics,IEEE transactions,Computational biology,Search problems,DNA
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