Author
Huanming Yang
BGI Group (China)ORCID 0000-0002-0858-3410Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2015-2026 · peak 15/yrCo-Author Collaboration Network
10 top collaborators · 34 mutual co-author links61 papers
Recent·Most cited
Cell Type Architecture and Positional Gene Gradients in an Adult Animal at Subcellular Resolution
Maoqin Sun, Yuxiaofei Wang, Kai Han, Lidong Guo, Yuehua Chen, Yao Li, Yaru Lin, Xiawei Liu, Zhi Huang, Qun Liu, Wenjie Guo, Rui Zhang, Wandong Zhao, Langchao Liang, Xiaoyu Wei, , An Zeng
This study reconstructs 3D spatial transcriptomic models of planarians to map cell type distribution and positional gene regulation, identifying candidate genes involved in regeneration.
bioRxiv · Feb 20, 2026 · PreprintDevelopmental Biology
4D Single-Cell Spatial Transcriptomics Reveals Dynamic Morphogenetic Gradients and Regenerative Domains in Planarians
Kai Han, Yuxiaofei Wang, Yao Li, Lidong Guo, Yue Chen, Xiawei Liu, Yaru Lin, Zhi Huang, Qun Liu, Wenjie Guo, Rui Zhang, Wandong Zhao, Langchao Liang, Xiaoyu Wei, Li Zhou, , Mengyang Xu
This study constructs a 4D spatiotemporal transcriptomic map of planarian regeneration using Stereo-seq, identifying dynamic gradients and an injury-induced regenerative zone.
GigaScience · Jan 1, 2026Peer-reviewedDevelopmental Biology
Multimodal AI Decodes Extreme Environment Functional Dark Matter Beyond Homology
Mengyang Xu, Dantong Wang, Qifan Liu, Hong Jiang, Xiaobin Liu, Yao Li, Di Wang, Hao Dong, Xinkai Yan, Yujing Liu, Anren Xu, Haidong Peng, Yanan Zhang, Hanbo Li, Shengying Li, , Xiangzhao Mao
The paper develops ACCESS, a multimodal graph neural network to annotate functional dark matter proteins from extreme environments beyond homology-based methods.
bioRxiv · Nov 15, 2025 · PreprintBioinformatics
A Benchmark of Evo2 Genomic AI Models for Efficient and Practical Deployment
Huimin Li, Hongyi Ji, Yuchen Zeng, Wei Lv, Jianmin Wu, Sheng Liu, Chunhua Lin, Huanming Yang, Zhaorong Li, Yubao Chen, Wei Dong
This paper benchmarks the Evo2 genomic AI model in cancer genomics, showing FP8 precision on H800 GPUs improves inference speed and accuracy, while larger models perform worse on non-FP8 hardware.
bioRxiv · Sep 10, 2025 · PreprintGenomics
Genomic evolution reshapes cell type diversification in the amniote brain
Duoyuan Chen, Zhenkun Zhuang, Maolin Huang, Yunqi Huang, Yuting Yan, Yanru Zhang, Youning Lin, Xiaoying Jin, Yuanmei Wang, Jinfeng Huang, Wenbo Xu, Jingfang Pan, Hong Wang, Fubaoqian Huang, Kuo Liao, , Shiping Liu
The paper creates a single-cell atlas of amniote brains to study cell type diversification and identifies species-specific gene expression patterns and novel cell subtypes.
Developmental Cell · May 13, 2025Peer-reviewedEvolutionary Biology
Spatiotemporal transcriptomic profiling reveals the dynamic immunological landscape of alveolar echinococcosis
Zhihua Ou, Li Li, Peidi Ren, Tingting Zhou, Fan He, Jialing Chen, Huimin Cai, Xiumin Han, Yao-Dong Wu, Jiandong Li, Xiurong Li, Qiming Tan, Wenhui Li, Qi Chen, Nian‐Zhang Zhang, , Hongbin Yan
This study uses spatiotemporal transcriptomics to analyze immune dynamics in E. multilocularis infected mouse liver, identifying key immune cell roles and shifts in immune strategy during infection.
Advanced Science · Feb 22, 2025Peer-reviewedImmunology
Himalayan whole-genome sequences provide insight into population formation and adaptation
Elena Arciero, Mohamed A. Almarri, Massimo Mezzavilla, Yali Xue, Pille Hallast, Cidra Hammoud, Yuan Chen, Laurits Skov, Thirsa Kraaijenbrink, Qasim Ayub, Huanming Yang, George L. van Driem, Mark A. Jobling, Peter de Knijff, Chris Tyler‐Smith, , Marc Haber
The paper presents whole-genome sequences from 16 Himalayan populations to study population structure, adaptation, and genetic history, revealing early population divergence, shared adaptive haplotypes, and recent gene flow.
bioRxiv · Nov 26, 2024 · PreprintGenomics
Unraveling the impact of host genetics and factors on the urinary microbiome in a young population
Leying Zou, Zhe Zhang, Junhong Chen, Ruijin Guo, Xin Tong, Yanmei Ju, Haorong Lu, Huanming Yang, Jian Wang, Yang Zong, Xun Xu, Xin Jin, Liang Xiao, Huijue Jia, Tao Zhang, Xiaomin Liu
This study characterizes the urinary microbiome in 1579 Chinese individuals, identifying host factors and genetic associations that influence microbial composition and urotype classification.
mBio · Nov 8, 2024Peer-reviewedMicrobiology
Genetic studies of gestational diabetes mellitus in 21,813 Chinese women
Huanhuan Zhu, Xiao Han, Linxuan Li, Meng Yang, Ying Lin, Jieqiong Zhou, Xinyi Zhang, Yan Zhou, Xianmei Lan, Jiuying Liu, Jingyu Zeng, Lin Wang, Yuanyuan Zhong, Qian Xiaobo, Zhongqiang Cao, , Aifen Zhou
This study identifies four genome-wide significant SNPs associated with GDM in Chinese women and develops an early prediction model using clinical and genetic indicators.
Cell Genomics · Oct 1, 2024Peer-reviewedGenetic & Genomic Medicine
Multi-trait genome-wide association study in 34,394 Chinese women reveals the genetic architecture of plasma metabolites during pregnancy
SiYang Maggie Liu, Jilong Yao, Liang Lin, Xianmei Lan, Linlin Wu, Xuelian He, Nannan Kong, Yan Li, Yuqing Deng, Jiansheng Xie, Huanhuan Zhu, Xiaoxia Wu, Zilong Li, Likuan Xiong, Yuan Wang, , Siqi Liu
This study identifies 30 novel metabolite-gene associations in 34,394 Chinese pregnant women and finds pleiotropy and causal relationships between metabolites and diseases.
Cell Genomics · Oct 1, 2024Peer-reviewedGenetic & Genomic Medicine
Genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women
Xiao Han, Linxuan Li, Meng Yang, Xinyi Zhang, Jieqiong Zhou, Jingyu Zeng, Yan Zhou, Xianmei Lan, Jiuying Liu, Ying H. Lin, Yuanyuan Zhong, Xiaoqian Zhang, Lin Wang, Zhongqiang Cao, Panhong Liu, , Xin Jin
This study performs a large-scale genetic analysis of 104 pregnancy phenotypes in 39,194 Chinese women, identifying 407 trait-locus associations and uncovering novel genetic insights into pregnancy-related traits.
Cell Genomics · Oct 1, 2024Peer-reviewedGenetic & Genomic Medicine
An interpretable integration model improving disease-free survival prediction for gastric cancer based on CT images and clinical parameters
Xiaoping Cen, Can Hu, Yuan Li, Xiangdong Cheng, Wei Dong, Run Zhou, Yuanmei Wang, Jiansheng Zou, Tianyu Lu, Huanming Yang, Yahan Tong
This paper proposes a model integrating deep features, radiomics features, and clinical parameters to improve gastric cancer disease-free survival prediction, achieving a 3%-5% C-index and 10% AUC improvement.
bioRxiv · Apr 1, 2024 · PreprintCancer Biology
Dissecting aneuploidy phenotypes by constructing Sc2.0 chromosome VII and SCRaMbLEing synthetic disomic yeast
Yue Shen, Feng Gao, Yun Wang, Yuerong Wang, Zheng Ju, Jianhui Gong, Jintao Zhang, Zhouqing Luo, Daniel Schindler, Yang Deng, Weichao Ding, Tao Lin, Reem Swidah, Hongcui Zhao, Shuangying Jiang, , Yizhi Cai
The paper constructs a synthetic disomic yeast using SCRaMbLE and a newly synthesized chromosome to study aneuploidy phenotypes, finding that both copy number and specific chromosomal regions affect fitness.
Cell Genomics · Nov 1, 2023Peer-reviewedSynthetic Biology
Single-cell transcriptional profiling reveals cellular and molecular divergence in human maternal-fetal interface
Quanlei Wang, Jinlu Li, Shengpeng Wang, Qiuting Deng, Yanru An, Yanan Xing, Xi Dai, Zelong Li, Qiwang Ma, Kuixing Wang, Chuanyu Liu, Yue Yuan, Guoyi Dong, Tao Zhang, Huanming Yang, , Zhouchun Shang
The paper uses single-cell transcriptomics to analyze cellular and molecular differences across maternal-fetal sections of the placenta, identifying key cell types and regulatory factors involved in placental development and preeclampsia.
Scientific Reports · Jun 28, 2022Peer-reviewedDevelopmental Biology
Chord: Identifying Doublets in Single-Cell RNA Sequencing Data by an Ensemble Machine Learning Algorithm
Ke-Xu Xiong, Hanlin Zhou, Cong Lin, Jianhua Yin, Karsten Kristiansen, Huanming Yang, Guibo Li
Chord improves doublet detection in scRNA-seq by combining multiple methods, showing higher accuracy and stability across different datasets.
Communications Biology · May 30, 2022Peer-reviewedBioinformatics
Integrating convolution and self-attention improves language model of human genome for interpreting non-coding regions at base-resolution
Meng Yang, Lichao Huang, Haiping Huang, Hui Tang, Nan Zhang, Huanming Yang, Jihong Wu, Feng Mu
LOGO is a lightweight language model for interpreting non-coding regions of the human genome, achieving improved performance in promoter identification and enhancer-promoter interaction prediction.
Nucleic Acids Research · May 9, 2022Peer-reviewedBioinformatics
Towards Practical and Robust DNA-based Data Archiving Using "Yin-Yang Codec" System
Zhi Ping, Shihong Chen, Guangyu Zhou, Xiaoluo Huang, Sha Joe Zhu, Haoling Zhang, Henry H. Lee, Zhaojun Lan, Jie Cui, Tai Chen, Wenwei Zhang, Huanming Yang, Xun Xu, George McDonald Church, Yue Shen
This paper introduces a DNA-based data archiving system called Yin-Yang Codec, which achieves high recovery rates and physical information density in both in vitro and in vivo storage.
Nature Computational Science · Apr 25, 2022Peer-reviewedSynthetic Biology
Plasma cell-free DNA promise disease monitoring and tissue injury assessment of COVID-19
Yanqun Wang, Jie Li, Lu Zhang, Hai‐Xi Sun, Zhaoyong Zhang, Jinjin Xu, Yonghao Xu, Yu Lin, Airu Zhu, Yuxue Luo, Haibo Zhou, Yan Ling Wu, Shanwen Lin, Yuzhe Sun, Fei Xiao, , Xin Jin
This study analyzes cell-free DNA in COVID-19 patients to show its potential for disease monitoring and tissue injury assessment.
Genome Research · Feb 1, 2022Peer-reviewedGenetic & Genomic Medicine
Mendelian randomization analyses support causal relationships between blood metabolites and the gut microbiome
Xiaomin Liu, Xin Tong, Yuanqiang Zou, Xiaoqian Lin, Hui Zhao, Liu Tian, Zhuye Jie, Qi Wang, Zhe Zhang, Haorong Lu, Liang Xiao, Xuemei Qiu, Jin Zi, Rong Wang, Xun Xu, , Tao Zhang
This study uses Mendelian randomization to identify causal relationships between gut microbiome composition and blood metabolites in a Chinese cohort.
Nature Genetics · Jan 1, 2022Peer-reviewedGenetics
Metagenome-genome-wide association studies reveal human genetic impact on the oral microbiome
Xiaomin Liu, Xin Tong, Jie Zhu, Liu Tian, Zhuye Jie, Yuanqiang Zou, Xiaoqian Lin, Hewei Liang, Wenxi Li, Yanmei Ju, Youwen Qin, Leying Zou, Haorong Lu, Shida Zhu, Xin Jin, , Tao Zhang
This study identifies genetic loci associated with the oral microbiome using metagenome-genome-wide association studies in over 1,915 individuals.
Cell Discovery · Dec 6, 2021Peer-reviewedGenetics
Cell free extrachromosomal circular DNA is common in human urine
Wei Lv, Xiaoguang Pan, Peng Han, Ziyu Wang, Hao Yuan, Weijia Feng, Qingqing Wang, Kunli Qu, Zhe Xu, Yi Li, Tianyu Zheng, Ling Lin, Chengxun Liu, Xuemei Liu, Hanbo Li, , Yonglun Luo
This study identifies and characterizes over one million urinary cell free eccDNAs in healthy adults, revealing their genomic distribution, sequence features, and potential role of direct repeats in their biogenesis.
bioRxiv · Dec 2, 2021 · PreprintGenomics
Diversity, function and evolution of marine invertebrate genomes
Yaolei Zhang, Jiahao Wang, Meiqi Lv, Haoyang Gao, Lingfeng Meng, A Yunga, Inge Seim, He Zhang, Shanshan Liu, Linlin Zhang, Xin Liu, Xun Xu, Huanming Yang, Guangyi Fan
The paper compiles and analyzes 190 marine invertebrate genomes to explore their diversity, function, and evolutionary relationships.
bioRxiv · Oct 31, 2021 · PreprintGenomics
Diversity, function and evolution of aquatic vertebrate genomes
Yue Song, Mengjun Yu, Suyu Zhang, Rui Zhang, Inge Seim, Xinyu Guo, Meiru Liu, Lili Yu, He Zhang, Hanbo Li, Shanshan Liu, Xin Liu, Xun Xu, Huanming Yang, Kun Wang, , Guangyi Fan
The paper analyzes 630 aquatic vertebrate genomes to create a compendium, revealing TE diversity and gene family evolution related to the water-to-land transition.
bioRxiv · Oct 29, 2021 · PreprintGenomics
Spatiotemporal transcriptome at single-cell resolution reveals key radial glial cell population in axolotl telencephalon development and regeneration
Xiaoyu Wei, Sulei Fu, Hanbo Li, Yang Liu, Shuai Wang, Weimin Feng, Yunzhi Yang, Xiawei Liu, Yan-Yun Zeng, Mengnan Cheng, Yiwei Lai, Xiaojie Qiu, Liang Li Wu, Nannan Zhang, Yujia Jiang, , Ying Gu
The paper uses Stereo-seq to map single-cell transcriptomes of axolotl telencephalon during development and regeneration, identifying a key radial glial cell subtype involved in early wound healing.
bioRxiv · Oct 23, 2021 · PreprintDevelopmental Biology
A Chinese host genetic study discovered type I interferons and causality of cholesterol levels and WBC counts on COVID-19 severity
Huanhuan Zhu, Fang Zheng, Linxuan Li, Yan Jin, Yuxue Luo, Zhen Li, Jingyu Zeng, Ling Fung Paul Tang, Zilong Li, Ningyu Xia, Panhong Liu, Dan Han, Ying Shan, Xiaoying Zhu, SiYang Maggie Liu, , Fanjun Cheng
This study identifies cholesterol levels and WBC counts as causal factors for COVID-19 severity through GWAS and MR analysis, and highlights type I interferon pathways in disease mechanisms.
iScience · Sep 30, 2021Peer-reviewedGenetic & Genomic Medicine
stLFRsv: a germline SV analysis pipeline using co-barcoded reads
Junfu Guo, Shi Chang, Xi Chen, Ou Wang, Ping Liu, Huanming Yang, Xun Xu, Wenwei Zhang, Hongmei Zhu
stLFRsv detects structural variations using co-barcoded long reads, achieving 74.2% precision and 22.3% recall for deletions in HG002/NA24385.
Frontiers in Genetics · Mar 18, 2021Peer-reviewedBioinformatics
M-GWAS for the gut microbiome in Chinese adults illuminates on complex diseases
Xiaomin Liu, Shanmei Tang, Huanzi Zhong, Xin Tong, Zhuye Jie, Qiuxia Ding, Dan Wang, Ruidong Guo, Liang Xiao, Xun Xu, Huanming Yang, Jian Wang, Yang Zong, Weibin Liu, Xiao Liu, , Tao Zhang
This paper performs M-GWAS on a Chinese cohort to identify genetic contributions to the gut microbiome and its associations with complex diseases.
Cell Discovery · Feb 9, 2021Peer-reviewedGenetics
Genome Diversity in Ukraine
Tarás K. Oleksyk, Walter Wolfsberger, Alexandra M. Weber, Khrystyna Shchubelka, Olga T. Oleksyk, Olga Levchuk, Alla Patrus, Nelya Lazar, Stephanie O. Castro Márquez, Yaroslava Hasynets, Patricia Boldyzhar, Mikhailo Neymet, Alina Urbanovych, Viktoriya Stakhovska, Kateryna Malyar, , Volodymyr Smolanka
This study provides genome-wide data for the Ukrainian population, identifying novel genetic variants and highlighting its unique genetic diversity.
GigaScience · Jan 1, 2021Peer-reviewedGenomics
Initial Whole Genome Sequencing and Analysis of the Host Genetic Contribution to COVID-19 Severity and Susceptibility
Fang Wang, Shujia Huang, Rongsui Gao, Yuwen Zhou, Changxiang Lai, Zhichao Li, Wenjie Xian, Xiaobo Qian, Zhiyu Li, Yu‐Shan Huang, Qiyuan Tang, Panhong Liu, Ruikun Chen, Rong Liu, Xuan Li, , Lei Liu
This study analyzes whole-genome sequencing data from 332 Chinese COVID-19 patients to identify genetic variants associated with disease severity and susceptibility.
Cell Discovery · Nov 10, 2020Peer-reviewedGenetic & Genomic Medicine