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Eleven grand challenges in single-cell data science
The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …
Network medicine in the age of biomedical big data
Network medicine is an emerging area of research dealing with molecular and genetic
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
interactions, network biomarkers of disease, and therapeutic target discovery. Large-scale …
scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation
E Madissoon, A Wilbrey-Clark, RJ Miragaia… - Genome biology, 2020 - Springer
Abstract Background The Human Cell Atlas is a large international collaborative effort to
map all cell types of the human body. Single-cell RNA sequencing can generate high-quality …
map all cell types of the human body. Single-cell RNA sequencing can generate high-quality …
[HTML][HTML] The Human Cell Atlas bone marrow single-cell interactive web portal
Highlights•Interactive resource for bone marrow donor variation between cell
populations.•Deep evaluation of Human Cell Atlas (HCA) data spanning eight donors and …
populations.•Deep evaluation of Human Cell Atlas (HCA) data spanning eight donors and …
Clonal hematopoiesis of indeterminate potential, DNA methylation, and risk for coronary artery disease
Age-related changes to the genome-wide DNA methylation (DNAm) pattern observed in
blood are well-documented. Clonal hematopoiesis of indeterminate potential (CHIP) …
blood are well-documented. Clonal hematopoiesis of indeterminate potential (CHIP) …
Single-cell (multi) omics technologies
Single-cell multiomics technologies typically measure multiple types of molecule from the
same individual cell, enabling more profound biological insight than can be inferred by …
same individual cell, enabling more profound biological insight than can be inferred by …
Dynamic enhancer landscapes in human craniofacial development
The genetic basis of human facial variation and craniofacial birth defects remains poorly
understood. Distant-acting transcriptional enhancers control the fine-tuned spatiotemporal …
understood. Distant-acting transcriptional enhancers control the fine-tuned spatiotemporal …
Data integration challenges for machine learning in precision medicine
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …
different databases about the molecular and environmental origins of disease, into analytic …
Omics-based approaches to guide the design of biomaterials
Recent developments in biomedical engineering have focused on designing smart and bio-
responsive materials. However, a critical step in designing this next generation of …
responsive materials. However, a critical step in designing this next generation of …
scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
Abstract scRNA-seq dataset integration occurs in different contexts, such as the identification
of cell type-specific differences in gene expression across conditions or species, or batch …
of cell type-specific differences in gene expression across conditions or species, or batch …