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Published: May 28, 2026

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Published: May 28, 2026

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publications

Global immune characterization of HBV/HCV-related hepatocellular carcinoma identifies macrophage and T-cell subsets associated with disease progression

Published in Cell Discovery, 2020

Recommended citation: Song, G., Shi, Y., ..., Jin, Z. et al. Global immune characterization of HBV/HCV-related hepatocellular carcinoma identifies macrophage and T-cell subsets associated with disease progression. Cell Discov 6, 90 (2020). https://www.nature.com/articles/s41421-020-00214-5

Single cell gene fusion detection by scFusion

Published in Nature Communications, 2022

Recommended citation: Jin, Z., Huang, W., Shen, N. et al. Single-cell gene fusion detection by scFusion. Nat Commun 13, 1084 (2022). https://doi.org/10.1038/s41467-022-28661-6 https://www.nature.com/articles/s41467-022-28661-6

TAGET: a toolkit for analyzing full-length transcripts from long-read sequencing

Published in Nature Communications, 2023

Recommended citation: Xia, Y., Jin, Z., Zhang, C. et al. TAGET a toolkit for analyzing full-length transcripts from long-read sequencing. Nat Commun 14, 5935 (2023). https://www.nature.com/articles/s41467-023-41649-0

MetaCONNET: A metagenomic polishing tool for long-read assemblies

Published in PLoS ONE, 2024

Recommended citation: Sun, B., Guo, J., Jin, H. et al. MetaCONNET A metagenomic polishing tool for long-read assemblies. PLoS ONE 19(12) e0313515 (2024). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313515

Detecting copy-number alterations from single-cell chromatin sequencing data by AtaCNA

Published in Cell Reports Methods, 2025

Recommended citation: Wang, X., Jin, Z., Shi, Y., & Xi, R. (2025). Detecting copy-number alterations from single-cell chromatin sequencing data by AtaCNA. Cell Reports Methods. https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(24)00329-1

scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution

Published in Genome Biology, 2026

Recommended citation: Jin, Z. et al. scComm: a contrastive learning framework for deciphering cell-cell communications at single-cell resolution. Genome Biology. (2026) https://link.springer.com/article/10.1186/s13059-026-04043-9

Spatial-aware detection of copy number alterations from spatial transcriptomics using SpaCNA

Published in Nature Communications, 2026

Recommended citation: Zhang, Z. et al. Spatial-aware detection of copy number alterations from spatial transcriptomics using SpaCNA. Nature Communications. (2026) https://www.nature.com/articles/s41467-026-72284-0