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Benchmarking alignment strategies for Hi-C reads in metagenomic Hi-C data.

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Title: Benchmarking alignment strategies for Hi-C reads in metagenomic Hi-C data.
Authors: Wang Y; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA., Zuo W; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA., Huang J; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA., Sun F; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA. fsun@usc.edu., Du Y; Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, 78249, TX, USA. yuxuan.du@utsa.edu.
Source: Genome biology [Genome Biol] 2026 Jan 30; Vol. 27 (1). Date of Electronic Publication: 2026 Jan 30.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Benchmarking alignment strategies for Hi-C reads in metagenomic Hi-C data.
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  Data: <searchLink fieldCode="AU" term="%22Wang+Y%22">Wang Y</searchLink>; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA.<br /><searchLink fieldCode="AU" term="%22Zuo+W%22">Zuo W</searchLink>; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA.<br /><searchLink fieldCode="AU" term="%22Huang+J%22">Huang J</searchLink>; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA.<br /><searchLink fieldCode="AU" term="%22Sun+F%22">Sun F</searchLink>; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, 90089, CA, USA. fsun@usc.edu.<br /><searchLink fieldCode="AU" term="%22Du+Y%22">Du Y</searchLink>; Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, 78249, TX, USA. yuxuan.du@utsa.edu.
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  Data: <searchLink fieldCode="JN" term="%22100960660%22">Genome biology</searchLink> [Genome Biol] 2026 Jan 30; Vol. 27 (1). <i>Date of Electronic Publication: </i>2026 Jan 30.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central+Ltd%22">BioMed Central Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100960660 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1474-760X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214747596%22">14747596 </searchLink><i>NLM ISO Abbreviation: </i>Genome Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s13059-026-03970-x
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        Text: English
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      – TitleFull: Benchmarking alignment strategies for Hi-C reads in metagenomic Hi-C data.
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              Text: 2026 Jan 30
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