Author

Liang Lin

BGI Genomics

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:protein structure· 1

Frequent Co-Authors

Guixue HouiD· 2 shared Siqi LiuiD· 2 shared Anne-Claude Gingras· 1 shared Ben C Collins· 1 shared Birgit Schilling· 1 shared Bradford W Gibson· 1 shared Brett Larsen· 1 shared Chao NieiD· 1 shared

Activity by Year

2016-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Guixue HouORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

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

Assessment of AlphaFold structures and optimization methods for virtual screening

Yanfei Peng, Xia Wu, Liang Lin, Zhiluo Deng, Limin Zhao, Ke Hao

The paper evaluates AlphaFold structures for virtual screening, finding 35% perform as well as DUD-E structures and 25% better, and introduces a consensus scoring method that improves screening speed without sacrificing enrichment factor.

bioRxiv · Jan 10, 2023 · PreprintBioinformatics

Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry

Ben C Collins, Christie L Hunter, Yansheng Liu, Birgit Schilling, George Rosenberger Rosenberger, Samuel L Bader, Daniel W Chan, Bradford W Gibson, Anne-Claude Gingras, Jason M Held, Mio Hirayama-Kurogi, Guixue Hou, Christoph Krisp Krisp, Brett Larsen, Liang Lin, , Ruedi Aebersold

This study evaluates SWATH-MS across 11 labs, showing consistent detection and quantification of over 4,000 proteins with reproducible quantitative data.

bioRxiv · Sep 14, 2016Biochemistry