Metagenomic Chromosome Conformation Capture (3C): Techniques, applications, and challenges

Darling, A; Liu, M

Metagenomic Chromosome Conformation Capture (3C): Techniques, applications, and challenges

Darling, A

Liu, M

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Publication Type:: Journal Article
Citation:: F1000Research, 2015, 4
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Darling, A https://orcid.org/0000-0003-2397-7925	en_US
dc.contributor.author	Liu, M https://orcid.org/0000-0001-8312-0734	en_US
dc.date.available	2015-11-24	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	F1000Research, 2015, 4	en_US
dc.identifier.issn	2046-1402	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41457
dc.description.abstract	© 2015 Liu M and Darling A. We review currently available technologies for deconvoluting metagenomic data into individual genomes that represent populations, strains, or genotypes present in the community. An evaluation of chromosome conformation capture (3C) and related techniques in the context of metagenomics is presented, using mock microbial communities as a reference. We provide the first independent reproduction of the metagenomic 3C technique described last year, propose some simple improvements to that protocol, and compare the quality of the data with that provided by the more complex Hi-C protocol.	en_US
dc.relation.ispartof	F1000Research	en_US
dc.relation.isbasedon	10.12688/f1000research.7281.1	en_US
dc.title	Metagenomic Chromosome Conformation Capture (3C): Techniques, applications, and challenges	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.for	0601 Biochemistry and Cell Biology	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1112 Oncology and Carcinogenesis	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - ithree - Institute of Infection, Immunity and Innovation
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

© 2015 Liu M and Darling A. We review currently available technologies for deconvoluting metagenomic data into individual genomes that represent populations, strains, or genotypes present in the community. An evaluation of chromosome conformation capture (3C) and related techniques in the context of metagenomics is presented, using mock microbial communities as a reference. We provide the first independent reproduction of the metagenomic 3C technique described last year, propose some simple improvements to that protocol, and compare the quality of the data with that provided by the more complex Hi-C protocol.

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http://hdl.handle.net/10453/41457