We present a complete analysis of the statistics of number of occurrences of a regular expression pattern in a random text. This covers “motifs” widely used ...
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A paradigm-shifting toolkit for sequence analytics: rich flow visualizations, purpose-built sequence operations, real-time queries.
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Motif Scoring/Statistics. Determining whether the set of motif matches found in your sequence of interest is meaningful (or at least statistically ...
Jun 22, 2013 · In this work, we propose sampling methods to accurately estimate subgraph statistics from as few queried nodes as possible. We present sampling ...
Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social ...
We present sampling algorithms that efficiently and accurately estimate subgraph properties of massive networks. Our algorithms require no precomputation or ...
We present in this article a fast approximate method for computing the statistics of a number of non-self-overlapping matches of motifs in a random text in ...
Apr 1, 2010 · Motif Enrichment Analysis (MEA) seeks to determine which DNA-binding transcription factors control the transcription of a set of genes.
Oct 14, 2016 · We conclude that genome-wide word compositions have been molded by DNA binding proteins acting through tiny evolutionary steps over time scales spanning ...
Sep 18, 2021 · We introduce 'motif_prob', a fast implementation of an exact formula for motif count distribution through progressive approximation with arbitrary precision.