Literature DB >> 30953075

High resolution discovery of chromatin interactions.

Yuchun Guo1, Konstantin Krismer1,2, Michael Closser3, Hynek Wichterle3, David K Gifford1,2,4.   

Abstract

Chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) is a method for the genome-wide de novo discovery of chromatin interactions. Existing computational methods typically fail to detect weak or dynamic interactions because they use a peak-calling step that ignores paired-end linkage information. We have developed a novel computational method called Chromatin Interaction Discovery (CID) to overcome this limitation with an unbiased clustering approach for interaction discovery. CID outperforms existing chromatin interaction detection methods with improved sensitivity, replicate consistency, and concordance with other chromatin interaction datasets. In addition, CID also outperforms other methods in discovering chromatin interactions from HiChIP data. We expect that the CID method will be valuable in characterizing 3D chromatin interactions and in understanding the functional consequences of disease-associated distal genetic variations.
© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2019        PMID: 30953075      PMCID: PMC6451139          DOI: 10.1093/nar/gkz051

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


  31 in total

1.  Machine learning. Clustering by fast search and find of density peaks.

Authors:  Alex Rodriguez; Alessandro Laio
Journal:  Science       Date:  2014-06-27       Impact factor: 47.728

2.  hichipper: a preprocessing pipeline for calling DNA loops from HiChIP data.

Authors:  Caleb A Lareau; Martin J Aryee
Journal:  Nat Methods       Date:  2018-02-28       Impact factor: 28.547

3.  A statistical model of ChIA-PET data for accurate detection of chromatin 3D interactions.

Authors:  Jonas Paulsen; Einar A Rødland; Lars Holden; Marit Holden; Eivind Hovig
Journal:  Nucleic Acids Res       Date:  2014-08-11       Impact factor: 16.971

4.  HiChIP: efficient and sensitive analysis of protein-directed genome architecture.

Authors:  Maxwell R Mumbach; Adam J Rubin; Ryan A Flynn; Chao Dai; Paul A Khavari; William J Greenleaf; Howard Y Chang
Journal:  Nat Methods       Date:  2016-09-19       Impact factor: 28.547

5.  A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

Authors:  Suhas S P Rao; Miriam H Huntley; Neva C Durand; Elena K Stamenova; Ivan D Bochkov; James T Robinson; Adrian L Sanborn; Ido Machol; Arina D Omer; Eric S Lander; Erez Lieberman Aiden
Journal:  Cell       Date:  2014-12-11       Impact factor: 41.582

6.  Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

Authors:  Erez Lieberman-Aiden; Nynke L van Berkum; Louise Williams; Maxim Imakaev; Tobias Ragoczy; Agnes Telling; Ido Amit; Bryan R Lajoie; Peter J Sabo; Michael O Dorschner; Richard Sandstrom; Bradley Bernstein; M A Bender; Mark Groudine; Andreas Gnirke; John Stamatoyannopoulos; Leonid A Mirny; Eric S Lander; Job Dekker
Journal:  Science       Date:  2009-10-09       Impact factor: 47.728

7.  The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog).

Authors:  Jacqueline MacArthur; Emily Bowler; Maria Cerezo; Laurent Gil; Peggy Hall; Emma Hastings; Heather Junkins; Aoife McMahon; Annalisa Milano; Joannella Morales; Zoe May Pendlington; Danielle Welter; Tony Burdett; Lucia Hindorff; Paul Flicek; Fiona Cunningham; Helen Parkinson
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  An integrated encyclopedia of DNA elements in the human genome.

Authors: 
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

9.  The long-range interaction landscape of gene promoters.

Authors:  Amartya Sanyal; Bryan R Lajoie; Gaurav Jain; Job Dekker
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

10.  HiC-Pro: an optimized and flexible pipeline for Hi-C data processing.

Authors:  Nicolas Servant; Nelle Varoquaux; Bryan R Lajoie; Eric Viara; Chong-Jian Chen; Jean-Philippe Vert; Edith Heard; Job Dekker; Emmanuel Barillot
Journal:  Genome Biol       Date:  2015-12-01       Impact factor: 13.583

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  4 in total

1.  IDR2D identifies reproducible genomic interactions.

Authors:  Konstantin Krismer; Yuchun Guo; David K Gifford
Journal:  Nucleic Acids Res       Date:  2020-04-06       Impact factor: 16.971

2.  An expansion of the non-coding genome and its regulatory potential underlies vertebrate neuronal diversity.

Authors:  Michael Closser; Yuchun Guo; Ping Wang; Tulsi Patel; Sumin Jang; Jennifer Hammelman; Joriene C De Nooij; Rachel Kopunova; Esteban O Mazzoni; Yijun Ruan; David K Gifford; Hynek Wichterle
Journal:  Neuron       Date:  2021-11-01       Impact factor: 17.173

3.  spatzie: an R package for identifying significant transcription factor motif co-enrichment from enhancer-promoter interactions.

Authors:  Jennifer Hammelman; Konstantin Krismer; David K Gifford
Journal:  Nucleic Acids Res       Date:  2022-05-20       Impact factor: 19.160

4.  Bacon: a comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies.

Authors:  Li Tang; Matthew C Hill; Patrick T Ellinor; Min Li
Journal:  Genome Biol       Date:  2022-01-21       Impact factor: 13.583

  4 in total

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