Deciphering Hi-C: from 3D genome to function-Reference-Cited by-同舟云学术

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Deciphering Hi-C: from 3D genome to function

Published:2019-01-04 Issue:1 Volume:35 Page:15-32
ISSN:0742-2091
Container-title:Cell Biology and Toxicology
language:en
Short-container-title:Cell Biol Toxicol

Author:

Kong Siyuan,Zhang Yubo^ORCID

Funder

The Thousand Talents Plan for Young Professionals

Agricultural Science and Technology Innovation Program

Fundamental Research Funds for Central Non-profit Scientific Institution

Agricultural Science and Technology Innovation Program Cooperation and Innovation Mission

Elite Young Scientists Program of CAAS

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Cell Biology,Toxicology

Link

http://link.springer.com/article/10.1007/s10565-018-09456-2/fulltext.html

Reference115 articles.

1. Ay F, Bailey TL, Noble WS. Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts. Genome Res. 2014;24(6):999–1011.

2. Battulin NR, Fishman VS, Mazur AM, Pomaznoy M, Khabarova AA, Afonnikov DA, et al. Comparison of the three-dimensional organization of sperm and fibroblast genomes using the Hi-C approach. Genome Biol. 2015;16(1):77.

3. Belton J, Mccord RP, Gibcus JH, Naumova N, Zhan Y, Dekker J. Hi–C: a comprehensive technique to capture the conformation of genomes. Methods. 2012;58(3):268–76.

4. Berlivet S, Paquette D, Dumouchel A, Langlais D, Dostie J, Kmita M. Clustering of tissue-specific sub-TADs accompanies the regulation of HoxA genes in developing limbs. PLoS Genet. 2013;9(12):e1004018.

5. Bickhart DM, Rosen BD, Koren S, Sayre BL, Hastie AR, Chan S, et al. Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome. Nat Genet. 2017;49(4):643–50.

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