Integrating and mining the chromatin landscape of cell-type specificity using self-organizing maps

We tested whether self-organizing maps (SOMs) could be used to effectively integrate, visualize, and mine diverse genomics data types, including complex chromatin signatures. A fine-grained SOM was trained on 72 ChIP-seq histone modifications and DNase-seq data sets from six biologically diverse cel...

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Detalles Bibliográficos
Autores principales: Mortazavi, Ali, Pepke, Shirley, Jansen, Camden, Marinov, Georgi K., Ernst, Jason, Kellis, Manolis, Hardison, Ross C., Myers, Richard M., Wold, Barbara J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2013
Materias:
Resource
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847782/
https://www.ncbi.nlm.nih.gov/pubmed/24170599
http://dx.doi.org/10.1101/gr.158261.113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847782/
https://www.ncbi.nlm.nih.gov/pubmed/24170599
http://dx.doi.org/10.1101/gr.158261.113

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