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STOmics> Resources>Publications

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STOmics has been widely applied in organogenesis, embryo development, evolution, neuroscience and oncology research, and other different fields. Up to now, approximately 30 papers using Stereo-seq have been published on Cell, Nature, Science, and other top academic journals.

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142results：

15/04/2024 DOI:10.1021/jacsau.4c00118

Next-Generation Sequencing-Based Spatial Transcriptomics: A Perspective from Barcoding Chemistry

JACS Au

08/04/2024 DOI:10.1016/j.jgg.2024.04.002

DAIS: a method for identifying spatial domains based on density clustering of spatial omics data

Journal of Genetics and Genomics

29/03/2024 DOI:10.1126/sciadv.adi9035

Spatially resolved single-cell atlas of ascidian endostyle provides insight into the origin of vertebrate pharyngeal organs

Science advances Species·styela clava Sample Type·pharyngeal organs

15/03/2024 DOI:10.1093/gpbjnl/qzae026

Opportunities and Challenges in Advancing Plant Research with Single-cell Omics

Genomics, Proteomics & Bioinformatics

26/02/2024 DOI:10.1038/s41421-024-00656-1

Single-cell multi-omics analysis of lineage development and spatial organization in the human fetal cerebellum

Cell Discovery Species·human Sample Type·cerebellum

21/02/2024 DOI:10.1016/j.celrep.2024.113784

Single-cell spatial transcriptomic and translatomic profiling of dopaminergic neurons in health, aging, and disease

Cell Reports Species·mouse Sample Type·dopaminergic neurons

20/02/2024 DOI:10.3390/cancers16050846

Molecular, Metabolic, and Subcellular Mapping of the Tumor Immune Microenvironment via 3D Targeted and Non-Targeted Multiplex Multi-Omics Analyses

Cancers

20/02/2024 DOI:10.46471/gigabyte.110

Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images

Gigabyte

20/02/2024 DOI:10.46471/gigabyte.111

SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics

Gigabyte

20/02/2024 DOI:10.1093/gigascience/giae003

Deciphering spatial domains from spatially resolved transcriptomics with Siamese graph autoencoder

GigaScience

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