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We present a rigorous scoring scheme, implemented as a C program termed "ModuleFinder", that evaluates the likelihood that a given genomic region is a cis ...
We present a rigorous scoring scheme, implemented as a C program termed “ModuleFinder”, that evaluates the likelihood that a given genomic region is a cis ...
We present a rigorous scoring scheme, implemented as a C program termed "ModuleFinder", that evaluates the likelihood that a given genomic region is a cis ...
TL;DR: This work presents a rigorous scoring scheme, implemented as a C program termed "ModuleFinder", that evaluates the likelihood that a given genomic ...
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Using two previously described collections of experimentally verified CRMs in mammals as validation datasets, we show that ModuleFinder is able to identify CRMs ...
This thesis presents a rigorous scoring scheme, implemented as a C program termed "ModuleFinder", that evaluates the likelihood that a given genomic region is a ...
Missing: Tool Discovery
We present ModuleMiner, a novel algorithm for computationally detecting cis-regulatory modules (CRMs) in a set of co-expressed genes.
Jan 28, 2008 · The Gibbs Module Finder was tested on a single gene battery (human skeletal muscle genes), and shown to find known binding sites and pairs ...
Jun 4, 2009 · Here, we give an overview of existing computational methods to detect these CRMs in metazoan genomes. We subdivide these methods into three classes.
We present new approaches to cis-regulatory module (CRM) discovery in the common scenario where relevant transcription factors and/or motifs are unknown.