Literature DB >> 29106613

3DIV: A 3D-genome Interaction Viewer and database.

Dongchan Yang1, Insu Jang2, Jinhyuk Choi2, Min-Seo Kim2, Andrew J Lee3, Hyunwoong Kim3, Junghyun Eom3, Dongsup Kim1, Inkyung Jung3, Byungwook Lee2.   

Abstract

Three-dimensional (3D) chromatin structure is an emerging paradigm for understanding gene regulation mechanisms. Hi-C (high-throughput chromatin conformation capture), a method to detect long-range chromatin interactions, allows extensive genome-wide investigation of 3D chromatin structure. However, broad application of Hi-C data have been hindered by the level of complexity in processing Hi-C data and the large size of raw sequencing data. In order to overcome these limitations, we constructed a database named 3DIV (a 3D-genome Interaction Viewer and database) that provides a list of long-range chromatin interaction partners for the queried locus with genomic and epigenomic annotations. 3DIV is the first of its kind to collect all publicly available human Hi-C data to provide 66 billion uniformly processed raw Hi-C read pairs obtained from 80 different human cell/tissue types. In contrast to other databases, 3DIV uniquely provides normalized chromatin interaction frequencies against genomic distance dependent background signals and a dynamic browsing visualization tool for the listed interactions, which could greatly advance the interpretation of chromatin interactions. '3DIV' is available at http://kobic.kr/3div.
© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2018        PMID: 29106613      PMCID: PMC5753379          DOI: 10.1093/nar/gkx1017

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  16 in total

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Journal:  Nature       Date:  2012-04-11       Impact factor: 49.962

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Authors: 
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Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

9.  The accessible chromatin landscape of the human genome.

Authors:  Robert E Thurman; Eric Rynes; Richard Humbert; Jeff Vierstra; Matthew T Maurano; Eric Haugen; Nathan C Sheffield; Andrew B Stergachis; Hao Wang; Benjamin Vernot; Kavita Garg; Sam John; Richard Sandstrom; Daniel Bates; Lisa Boatman; Theresa K Canfield; Morgan Diegel; Douglas Dunn; Abigail K Ebersol; Tristan Frum; Erika Giste; Audra K Johnson; Ericka M Johnson; Tanya Kutyavin; Bryan Lajoie; Bum-Kyu Lee; Kristen Lee; Darin London; Dimitra Lotakis; Shane Neph; Fidencio Neri; Eric D Nguyen; Hongzhu Qu; Alex P Reynolds; Vaughn Roach; Alexias Safi; Minerva E Sanchez; Amartya Sanyal; Anthony Shafer; Jeremy M Simon; Lingyun Song; Shinny Vong; Molly Weaver; Yongqi Yan; Zhancheng Zhang; Zhuzhu Zhang; Boris Lenhard; Muneesh Tewari; Michael O Dorschner; R Scott Hansen; Patrick A Navas; George Stamatoyannopoulos; Vishwanath R Iyer; Jason D Lieb; Shamil R Sunyaev; Joshua M Akey; Peter J Sabo; Rajinder Kaul; Terrence S Furey; Job Dekker; Gregory E Crawford; John A Stamatoyannopoulos
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

10.  ChromContact: A web tool for analyzing spatial contact of chromosomes from Hi-C data.

Authors:  Tetsuya Sato; Mikita Suyama
Journal:  BMC Genomics       Date:  2015-12-15       Impact factor: 3.969

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8.  Chromatin conformation capture (Hi-C) sequencing of patient-derived xenografts: analysis guidelines.

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Journal:  Mol Psychiatry       Date:  2021-04-30       Impact factor: 15.992

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