miniMDS: 3D structural inference from high-resolution Hi-C data

MOTIVATION: Recent experiments have provided Hi-C data at resolution as high as 1 kbp. However, 3D structural inference from high-resolution Hi-C datasets is often computationally unfeasible using existing methods. RESULTS: We have developed miniMDS, an approximation of multidimensional scaling (MDS...

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Detalles Bibliográficos
Autores principales: Rieber, Lila, Mahony, Shaun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Ismb/Eccb 2017: The 25th Annual Conference Intelligent Systems for Molecular Biology Held Jointly with the 16th Annual European Conference on Computational Biology, Prague, Czech Republic, July 21–25, 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870652/
https://www.ncbi.nlm.nih.gov/pubmed/28882003
http://dx.doi.org/10.1093/bioinformatics/btx271

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870652/
https://www.ncbi.nlm.nih.gov/pubmed/28882003
http://dx.doi.org/10.1093/bioinformatics/btx271

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