The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture
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Citations
Cites
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Capturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
Mapping and analysis of chromatin state dynamics in nine human cell types
Ernst, J., Kheradpour, P., Mikkelsen, T. S., Shoresh, N., Ward, L. D., Epstein, C. B., Zhang, X., Wang, L., Issner, R., Coyne, M., et al. (2011) · Nature · doi:10.1038/nature09906 · Cited by 2,898
Simonis, M., Klous, P., Splinter, E., Moshkin, Y., Willemsen, R., de Wit, E., van Steensel, B., & de Laat, W. (2006) · Nature Genetics · doi:10.1038/ng1896 · Cited by 1,386
Nuclear organization of the genome and the potential for gene regulation
Fraser, P., & Bickmore, W. (2007) · Nature · doi:10.1038/nature05916 · Cited by 734
Quantitative analysis of chromosome conformation capture assays (3C-qPCR)
Hagège, H., Klous, P., Braem, C., Splinter, E., Dekker, J., Cathala, G., de Laat, W., & Forné, T. (2007) · Nature Protocols · doi:10.1038/nprot.2007.243 · Cited by 720 · cited 1×
“The inherent throughput limitations of the traditional visual methods for quantifying chromosomal structure have been alleviated over the last few years with the development of the chromosome conformation capture (3C) technique for quantifying contact probabilities between specific loc”
Method
Cited by
A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping
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) · Cell · doi:10.1016/j.cell.2014.11.021 · Cited by 9,212
Topological domains in mammalian genomes identified by analysis of chromatin interactions
Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B. (2012) · Nature · doi:10.1038/nature11082 · Cited by 6,829
HiC-Pro: an optimized and flexible pipeline for Hi-C data processing.
Servant, N., Varoquaux, N., Lajoie, B. R., Viara, E., Chen, C.-J., Vert, J.-P., Heard, E., Dekker, J., & Barillot, E. (2015) · Genome Biology · doi:10.1186/s13059-015-0831-x · Cited by 2,565
Formation of chromosomal domains by loop extrusion
Fudenberg, G., Imakaev, M., Lu, C., Goloborodko, A., Abdennur, N., & Mirny, L. A. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.04.085 · Cited by 2,003
Three-dimensional folding and functional organization principles of the Drosophila genome
Sexton, T., Yaffe, E., Kenigsberg, E., Bantignies, F., Leblanc, B., Hoichman, M., Parrinello, H., Tanay, A., & Cavalli, G. (2012) · Cell · doi:10.1016/j.cell.2012.01.010 · Cited by 1,983
Self-citation
Metadata
- Authors
- Yaffe, E., & Tanay, A.
- Venue
- Nature Genetics
- Published
- 2011-10-16
- Volume
- 43
- Issue
- 11
- Pages
- 1059-1065
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2001576815
- Cited by
- 610
- References
- 6
- FWCI
- 17.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture. https://app.cochat.ai/papers/10.1038/ng.947
- The paper
- Yaffe, E., & Tanay, A. (2011). Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture. Nature Genetics. https://doi.org/10.1038/ng.947
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
