Benchmarking alignment strategies for Hi-C reads in metagenomic Hi-C data.
Saved in:
| 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 |
| ISSN: | 1474-760X |
|---|---|
| DOI: | 10.1186/s13059-026-03970-x |
