TITLE: "“Cross-tissue multiomics studies reveal gutbrain interactions mediating the effect of Akkermansia muciniphila in counteracting fructose-induced obesity” ABSTRACT: The gut bacterium Akkermansia muciniphila (A. muciniphila) has been implicated in anti-obesity effects, but a systems level understanding […]
TITLE: "Exercise and tumor genomic landscapes in 2,702 patients with cancer" ABSTRACT: Approximately two-thirds of cancer diagnoses globally are attributed to modifiable lifestyle factors such as smoking, diet and inactivity. Conversely, […]
TITLE: “Automatic analysis of cryo-electron tomography using computer vision and machine learning.”
TITLE: "Multi-tissue single-cell level understanding of Alzheimer’s disease points to the therapeutic potential of nutritional and metabolic modulation." ABSTRACT: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by extracellular amyloid […]
TITLE: "Efficient, Multi Sample Inference of Cancer Phylogeny." ABSTRACT: Cancer is characterized by the ongoing accumulation of somatic mutations that may lead to dysregulated cellular proliferation. The selection of advantageous […]
TITLE: "ClusterDE: a post-clustering differentially expressed (DE) gene identification method robust to false-positive inflation caused by double-dipping" ABSTRACT: In typical single-cell RNA-seq data analysis, first, a clustering algorithm is applied […]
TITLE: "Germline structural variants shape prostate cancer clinical and molecular evolution." ABSTRACT: Inherited genetic variation profoundly influences cancer risk and outcome. While the impact of germline single nucleotide polymorphisms has […]
TITLE: "FastGxC: a statistical framework for mapping context-specific regulatory variants using bulk and single-cell RNA-seq data." ABSTRACT: Recent studies suggest that context-specific eQTLs underlie genetic risk factors for complex diseases. However, methods for identifying […]
TITLE: "A lack of distinct cellular identities in scRNA-seq data: revisiting Waddington’s landscape." ABSTRACT: Single-cell RNA sequencing is revolutionizing our understanding of development, differentiation and disease. Analysis of this data is often […]
TITLE: "Single Cell Multiomics Integration to Understand Complex Diseases." ABSTRACT: Recent advances in single cell multiomics technologies such as single cell RNA-seq, single cell ATAC-seq, and spatial transcriptomics have brought […]
