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Article
Data sources: UnpayWall
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https://doi.org/10.1101/090001...
Article . 2016 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Methods
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Methods
Article . 2018
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Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

Authors: Houda Belaghzal; Job Dekker; Johan H. Gibcus;

Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

Abstract

ABSTRACT Chromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol for Hi-C (Hi-C 2.0) that integrates recent improvements into a single protocol for efficient and high-resolution capture of chromatin interactions. This protocol combines chromatin digestion and frequently cutting enzymes to obtain kilobase (Kb) resolution. It also includes steps to reduce random ligation and the generation of uninformative molecules, such as unligated ends, to improve the amount of valid intra-chromosomal read pairs. This protocol allows for obtaining information on conformational structures such as compartment and TADs, as well as high-resolution conformational features such as DNA loops.

Country
United States
Keywords

Chromosome conformation capture, Base Sequence, Staining and Labeling, Genome, Human, Systems Biology, Paired-end sequencing, Biophysics, Computational Biology, Biotin, Chromosome Mapping, High-Throughput Nucleotide Sequencing, DNA, Biochemistry, Chromosomes, Cell Line, Cross-Linking Reagents, Hi-C, Formaldehyde, and Structural Biology, Humans, Deoxyribonucleases, Type II Site-Specific

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    274
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
274
Top 1%
Top 10%
Top 1%
Green
hybrid