1 |
Kaul, A., Bhattacharyya, S., and Ay, F. (2020). Identifying statistically significant chromatin contacts from Hi-C data with FitHiC2. Nat. Protoc. 15, 991-1012.
DOI
|
2 |
Rao, S.S.P., Huntley, M.H., Durand, N.C., Stamenova, E.K., Bochkov, I.D., Robinson, J.T., Sanborn, A.L., Machol, I., Omer, A.D., Lander, E.S., et al. (2014). A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159, 1665-1680.
DOI
|
3 |
Roayaei Ardakany, A., Gezer, H.T., Lonardi, S., and Ay, F. (2020). Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation. Genome Biol. 21, 256.
DOI
|
4 |
Cameron, C.J.F., Dostie, J., and Blanchette, M. (2020). HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution. Genome Biol. 21, 11.
DOI
|
5 |
Choi, W.Y., Hwang, J.H., Cho, A.N., Lee, A.J., Jung, I., Cho, S.W., Kim, L.K., and Kim, Y.J. (2020). NEUROD1 intrinsically initiates differentiation of indeuced pluripotent stem cells into neural progenitor cells. Mol. Cells 43, 1011-1022.
DOI
|
6 |
Crevillen, P., Sonmez, C., Wu, Z., and Dean, C. (2013). A gene loop containing the floral repressor FLC is disrupted in the early phase of vernalization. EMBO J. 32, 140-148.
DOI
|
7 |
Durand, N.C., Shamim, M.S., Machol, I., Rao, S.S.P., Huntley, M.H., Lander, E.S., and Aiden, E.L. (2016). Juicer provides a one-click system for analyzing loop-resolution Hi-C experiments. Cell Syst. 3, 95-98.
DOI
|
8 |
Feng, S., Cokus, S.J., Schubert, V., Zhai, J., Pellegrini, M., and Jacobsen, S.E. (2014). Genome-wide Hi-C analyses in wild-type and mutants reveal high-resolution chromatin interactions in Arabidopsis. Mol. Cell 55, 694-707.
DOI
|
9 |
Heidari, N., Phanstiel, D.H., He, C., Grubert, F., Jahanbanian, F., Kasowski, M., Zhang, M.Q., and Snyder, M.P. (2014). Genome-wide map of regulatory interactions in the human genome. Genome Res. 24, 1905-1917.
DOI
|
10 |
Lieberman-Aiden, E., van Berkum, N.L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B.R., Sabo, P.J., Dorschner, M.O., et al. (2009). Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science 326, 289-293.
DOI
|
11 |
Fernandez-Albert, J., Lipinski, M., Lopez-Cascales, M.T., Rowley, M.J., Martin-Gonzalez, A.M., del Blanco, B., Corces, V.G., and Barco, A. (2019). Immediate and deferred epigenomic signatures of in vivo neuronal activation in mouse hippocampus. Nat. Neurosci. 22, 1718-1730.
DOI
|
12 |
Rowley, M.J., Poulet, A., Nichols, M., Bixler, B., Sanborn, A., Brouhard, E., Hermetz, K., Linsenbaum, H., Csankovszki, G., Lieberman Aiden, E., et al. (2020). Analysis of Hi-C data using SIP effectively identifies loops in organisms from C. elegans to mammals. Genome Res. 30, 447-458.
DOI
|
13 |
Sun, L., Jing, Y., Liu, X., Li, Q., Xue, Z., Cheng, Z., Wang, D., He, H., and Qian, W. (2020). Heat stress-induced transposon activation correlates with 3D chromatin organization rearrangement in Arabidopsis. Nat. Commun. 11, 1886.
DOI
|
14 |
Liu, C., Wang, C., Wang, G., Becker, C., Zaidem, M., and Weigel, D. (2016). Genome-wide analysis of chromatin packing in Arabidopsis thaliana at single-gene resolution. Genome Res. 26, 1057-1068.
DOI
|
15 |
Cao, Y., Chen, Z., Chen, X., Ai, D., Chen, G., McDermott, J., Huang, Y., Guo, X., and Han, J.D.J. (2020). Accurate loop calling for 3D genomic data with cLoops. Bioinformatics 36, 666-675.
|
16 |
Dekker, J., Rippe, K., Dekker, M., and Kleckner, N. (2002). Capturing chromosome conformation. Science 295, 1306-1311.
DOI
|
17 |
Lajoie, B.R., Dekker, J., and Kaplan, N. (2015). The Hitchhiker's guide to Hi-C analysis: practical guidelines. Methods 72, 65-75.
DOI
|
18 |
Liu, Q., Lv, H., and Jiang, R. (2019). hicGAN infers super resolution Hi-C data with generative adversarial networks. Bioinformatics 35, i99-i107.
|
19 |
Ong, C.T. and Corces, V.G. (2009). Insulators as mediators of intra- and inter-chromosomal interactions: a common evolutionary theme. J. Biol. 8, 73.
DOI
|
20 |
Mumbach, M.R., Rubin, A.J., Flynn, R.A., Dai, C., Khavari, P.A., Greenleaf, W.J., and Chang, H.Y. (2016). HiChIP: efficient and sensitive analysis of protein-directed genome architecture. Nat. Methods 13, 919-922.
|
21 |
Liu, T. and Wang, Z. (2019). HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C data. Bioinformatics 35, 4222-4228.
DOI
|
22 |
Mumbach, M.R., Satpathy, A.T., Boyle, E.A., Dai, C., Gowen, B.G., Cho, S.W., Nguyen, M.L., Rubin, A.J., Granja, J.M., Kazane, K.R., et al. (2017). Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements. Nat. Genet. 49, 1602-1612.
DOI
|
23 |
Zhang, Y., An, L., Xu, J., Zhang, B., Zheng, W.J., Hu, M., Tang, J., and Yue, F. (2018). Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus. Nat. Commun. 9, 750.
DOI
|
24 |
Tang, Z., Luo, O.J., Li, X., Zheng, M., Zhu, J.J., Szalaj, P., Trzaskoma, P., Magalska, A., Wlodarczyk, J., Ruszczycki, B., et al. (2015). CTCF-mediated human 3D genome architecture reveals chromatin topology for transcription. Cell 163, 1611-1627.
DOI
|
25 |
Wang, C., Liu, C., Roqueiro, D., Grimm, D., Schwab, R., Becker, C., Lanz, C., and Weigel, D. (2015). Genome-wide analysis of local chromatin packing in Arabidopsis thaliana. Genome Res. 25, 246-256.
DOI
|