Publications

(2022). Single-cell multi-omics profiling links dynamic DNA methylation to cell fate decisions during mouse early organogenesis.. Genome biology.

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(2022). Inter-gastruloid heterogeneity revealed by single cell transcriptomics time course: implications for organoid based perturbation studies. bioRxiv.

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(2022). Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO. Nature Methods.

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(2022). Decoding gene regulation in the mouse embryo using single-cell multi-omics. bioRxiv.

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(2022). 8C-like cells capture the human zygotic genome activation program in vitro.. Cell stem cell.

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(2021). scMET: Bayesian modeling of DNA methylation heterogeneity at single-cell resolution. Genome Biology.

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(2021). Integrative Transkingdom Analysis of the Gut Microbiome in Antibiotic Perturbation and Critical Illness. mSystems.

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(2021). Curated Single Cell Multimodal Landmark Datasets for R/Bioconductor. bioRxiv.

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(2021). Computational principles and challenges in single-cell data integration. Nature Biotechnology.

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(2021). Community-wide hackathons to identify central themes in single-cell multi-omics.. Genome biology.

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(2020). MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data. Genome Biology.

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(2019). Multi-omics profiling of mouse gastrulation at single-cell resolution. Nature.

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(2018). scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells. Nature Communications.

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(2018). Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol Syst Biol.

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