Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
Spatial components of molecular tissue biology
Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …
evolving, making it possible to comprehensively characterize cells and tissues in health and …
Computational principles and challenges in single-cell data integration
The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …
multiple dimensions of cellular heterogeneity, enabling new insights into development …
Statistical and machine learning methods for spatially resolved transcriptomics data analysis
The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …
Strategic vision for improving human health at The Forefront of Genomics
ED Green, C Gunter, LG Biesecker, V Di Francesco… - Nature, 2020 - nature.com
Starting with the launch of the Human Genome Project three decades ago, and continuing
after its completion in 2003, genomics has progressively come to have a central and …
after its completion in 2003, genomics has progressively come to have a central and …
Spatially resolved transcriptomes—next generation tools for tissue exploration
Recent advances in spatially resolved transcriptomics have greatly expanded the
knowledge of complex multicellular biological systems. The field has quickly expanded in …
knowledge of complex multicellular biological systems. The field has quickly expanded in …
Spatially resolved transcriptomics adds a new dimension to genomics
As single-cell omics continue to advance, the field of spatially resolved transcriptomics has
emerged with a set of experimental and computational methods to map out the positions of …
emerged with a set of experimental and computational methods to map out the positions of …
A roadmap for the human developmental cell atlas
Abstract The Human Developmental Cell Atlas (HDCA) initiative, which is part of the Human
Cell Atlas, aims to create a comprehensive reference map of cells during development. This …
Cell Atlas, aims to create a comprehensive reference map of cells during development. This …
Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram
Charting an organs' biological atlas requires us to spatially resolve the entire single-cell
transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and …
transcriptome, and to relate such cellular features to the anatomical scale. Single-cell and …
Principles and challenges of modeling temporal and spatial omics data
Studies with temporal or spatial resolution are crucial to understand the molecular dynamics
and spatial dependencies underlying a biological process or system. With advances in high …
and spatial dependencies underlying a biological process or system. With advances in high …