Hi-C analysis: from data generation to integration
Author:
Funder
Associazione Italiana per la Ricerca sul Cancro
Publisher
Springer Science and Business Media LLC
Subject
Molecular Biology,Structural Biology,Biophysics
Link
http://link.springer.com/article/10.1007/s12551-018-0489-1/fulltext.html
Reference105 articles.
1. Ay F, Bailey TL, Noble WS (2014) Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts. Genome Res 24:999–1011. https://doi.org/10.1101/gr.160374.113
2. Belaghzal H, Dekker J, Gibcus JH (2017) Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation. Methods 123:56–65. https://doi.org/10.1016/j.ymeth.2017.04.004
3. Belton J-M, McCord RP, Gibcus JH et al (2012) Hi–C: a comprehensive technique to capture the conformation of genomes. Methods 58:268–276. https://doi.org/10.1016/j.ymeth.2012.05.001
4. Bonev B, Mendelson Cohen N, Szabo Q et al (2017) Multiscale 3D genome rewiring during mouse neural development. Cell 171:557–572.e24. https://doi.org/10.1016/j.cell.2017.09.043
5. Cairns J, Freire-Pritchett P, Wingett SW et al (2016) CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data. Genome Biol 17:127. https://doi.org/10.1186/s13059-016-0992-2
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