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Linking genetic variants to kidney disease via the epigenome
The largest GWAS for kidney function so far provided the starting point for integrated multi-stage annotation of genetic loci. Whole kidney and single-cell epigenomic information is crucial for translating GWAS information to the identification of causal genes and pathogenetic (and potentially targetable) cellular and molecular mechanisms of kidney disease.
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
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Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer
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The missing diversity in human epigenomic studies
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Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer
Events
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EMBO Practical Course: Metabolite and species dynamics in microbial communities
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EMBO | EMBL Symposium: The neurovascular interface
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EMBO | EMBL Symposium: Reconstructing the human past: using ancient and modern genomics
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EMBO | EMBL Symposium The complex life of RNA
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EMBO Workshop: Molecular mechanisms in evolution and ecology
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Associate Editor/Editor, Quality Assessment (42182)
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Post-doctoral Researcher in Bioinformatics
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66566: (Geo) computer scientist, data scientist, statistician or similar with Master (f/m/x) - Uncertainty Quantification in Deep Learning for Earth Observation
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Postdoc in AI for medical imaging (f/m/x)