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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2017
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| Materias: | |
| 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 |