Finding Motifs in DNA Sequences Using Low-Dispersion Sequences
نویسندگان
چکیده
منابع مشابه
Finding Weak Motifs in DNA Sequences
Recognition of regulatory sites in unaligned DNA sequences is an old and well-studied problem in computational molecular biology. Recently, large-scale expression studies and comparative genomics brought this problem into a spotlight by generating a large number of samples with unknown regulatory signals. Here we develop algorithms for recognition of signals in corrupted samples (where only a f...
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In recent years, especially after the completion of genome sequencing projects for various organisms, there has been a growing interest in the study of regulation and gene expression mechanisms. The amount of data available makes it unfeasible to pursue a manual analysis calling for some sort of automatic processing. In this context, bioinformatics tools have become more and more central to the...
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The signals that determine activation and repression of specific genes in response to appropriate stimuli are one of the most important, but least understood, types of information encoded in genomic DNA. The nucleotide sequence patterns, or motifs, preferentially bound by various transcription factors have been collected in databases. However, these motifs appear to be individually too short an...
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The problem of detecting DNA motifs with functional relevance in real biological sequences is difficult due to a number of biological, statistical and computational issues and also because of the lack of knowledge about the structure of searched patterns. Many algorithms are implemented in fully automated processes, which are often based upon a guess of input parameters from the user at the ver...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2014
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2013.0054