- Home
- Publications
- Publication Search
- Publication Details
Title
Squidpy: a scalable framework for spatial omics analysis
Authors
Keywords
-
Journal
NATURE METHODS
Volume 19, Issue 2, Pages 171-178
Publisher
Springer Science and Business Media LLC
Online
2022-02-01
DOI
10.1038/s41592-021-01358-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatially resolved single-cell genomics and transcriptomics by imaging
- (2021) Xiaowei Zhuang NATURE METHODS
- Spatially resolved transcriptomics adds a new dimension to genomics
- (2021) Ludvig Larsson et al. NATURE METHODS
- sepal: Identifying Transcript Profiles with Spatial Patterns by Diffusion-based Modeling
- (2021) Alma Anderson et al. BIOINFORMATICS
- Spatial Transcriptomics: Molecular Maps of the Mammalian Brain
- (2021) Cantin Ortiz et al. Annual Review of Neuroscience
- Integrated intra‐ and intercellular signaling knowledge for multicellular omics analysis
- (2021) Dénes Türei et al. Molecular Systems Biology
- Spatial transcriptomics at subspot resolution with BayesSpace
- (2021) Edward Zhao et al. NATURE BIOTECHNOLOGY
- Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis
- (2021) T. Lohoff et al. NATURE BIOTECHNOLOGY
- Cell segmentation-free inference of cell types from in situ transcriptomics data
- (2021) Jeongbin Park et al. Nature Communications
- Cell segmentation in imaging-based spatial transcriptomics
- (2021) Viktor Petukhov et al. NATURE BIOTECHNOLOGY
- Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
- (2021) Tommaso Biancalani et al. NATURE METHODS
- The single-cell pathology landscape of breast cancer
- (2020) Hartland W. Jackson et al. NATURE
- SciPy 1.0: fundamental algorithms for scientific computing in Python
- (2020) Pauli Virtanen et al. NATURE METHODS
- CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes
- (2020) Mirjana Efremova et al. Nature Protocols
- TissUUmaps: Interactive visualization of large-scale spatial gene expression and tissue morphology data
- (2020) Leslie Solorzano et al. BIOINFORMATICS
- Seamless integration of image and molecular analysis for spatial transcriptomics workflows
- (2020) Joseph Bergenstråhle et al. BMC GENOMICS
- Array programming with NumPy
- (2020) Charles R. Harris et al. NATURE
- Single-cell metabolic profiling of human cytotoxic T cells
- (2020) Felix J. Hartmann et al. NATURE BIOTECHNOLOGY
- High-Spatial-Resolution Multi-Omics Sequencing via Deterministic Barcoding in Tissue
- (2020) Yang Liu et al. CELL
- Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2
- (2020) Robert R. Stickels et al. NATURE BIOTECHNOLOGY
- Cellpose: a generalist algorithm for cellular segmentation
- (2020) Carsen Stringer et al. NATURE METHODS
- Single-Nucleus and In Situ RNA–Sequencing Reveal Cell Topographies in the Human Pancreas
- (2020) Luca Tosti et al. GASTROENTEROLOGY
- Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+
- (2019) Chee-Huat Linus Eng et al. NATURE
- MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure
- (2019) Leeat Keren et al. Science Advances
- Integrating single-cell transcriptomic data across different conditions, technologies, and species
- (2018) Andrew Butler et al. NATURE BIOTECHNOLOGY
- CellProfiler 3.0: Next-generation image processing for biology
- (2018) Claire McQuin et al. PLOS BIOLOGY
- Multiplexed protein maps link subcellular organization to cellular states
- (2018) Gabriele Gut et al. SCIENCE
- Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
- (2018) Jeffrey R. Moffitt et al. SCIENCE
- histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
- (2017) Denis Schapiro et al. NATURE METHODS
- The Human Cell Atlas
- (2017) Aviv Regev et al. eLife
- Mass Cytometry: Single Cells, Many Features
- (2016) Matthew H. Spitzer et al. CELL
- Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
- (2016) P. L. Stahl et al. SCIENCE
- Spatially resolved, highly multiplexed RNA profiling in single cells
- (2015) K. H. Chen et al. SCIENCE
- Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry
- (2014) Charlotte Giesen et al. NATURE METHODS
- scikit-image: image processing in Python
- (2014) Stéfan van der Walt et al. PeerJ
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now