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RECOMB
2009
Springer

Spatial Clustering of Multivariate Genomic and Epigenomic Information

10 years 6 months ago
Spatial Clustering of Multivariate Genomic and Epigenomic Information
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a global scale. This new experimental methodology was recently applied to map multiple histone marks and genomic factors, characterizing patterns of genome organization and discovering interactions among processes of epigenetic reprogramming during cellular differentiation. The new data poses a significant computational challenge in both size and statistical heterogeneity. Understanding it collectively and without bias remains an open problem. Here we introduce spatial clustering - a new unsupervised clustering methodology for dissection of large, multi-track genomic and epigenomic data sets into a spatially organized set of distinct combinatorial behaviors. We develop a probabilistic algorithm that finds spatial clustering solutions by learning an HMM model and inferring the most likely genomic layout of cluste...
Rami Jaschek, Amos Tanay
Added 23 Nov 2009
Updated 23 Nov 2009
Type Conference
Year 2009
Where RECOMB
Authors Rami Jaschek, Amos Tanay
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