The recent developments in high throughput single-cell RNA sequencing technology (scRNA-seq) have enabled the generation of vast amounts of transcriptomic data at cellular resolution. With these advances come new modes of data analysis, building on high-dimensional data mining techniques. Here, ...
Read More »Researchers use single-cell sequencing to understand how cells age
Researchers from the European Bioinformatics Institute (EMBL-EBI), University of Cambridge, the Wellcome Trust Sanger Institute and the Cancer Research UK-Cambridge Institute (CRUK-CI) have shed light on a long-standing debate about why the immune system weakens with age. Their findings, published ...
Read More »Single-cell RNA-Seq uncovers secrets of immune system’s response to malaria
Scientists have revealed for the first time how immature mouse immune cells, called T cells, choose which type of skills they will develop to fight malaria infection. Reported today (3 March) in Science Immunology, researchers from the Wellcome Trust Sanger ...
Read More »Power analysis of single-cell RNA-sequencing experiments
Single-cell RNA sequencing (scRNA-seq) has become an established and powerful method to investigate transcriptomic cell-to-cell variation, thereby revealing new cell types and providing insights into developmental processes and transcriptional stochasticity. A key question is how the variety of available protocols ...
Read More »Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects
Single-cell RNA-sequencing (scRNA-seq) allows heterogeneity in gene expression levels to be studied in large populations of cells. Such heterogeneity can arise from both technical and biological factors, thus making decomposing sources of variation extremely difficult. Researchers from the European Bioinformatics ...
Read More »Improved definition of the mouse transcriptome via targeted RNA sequencing
Targeted RNA sequencing (CaptureSeq) uses oligonucleotide probes to capture RNAs for sequencing, providing enriched read coverage, accurate measurement of gene expression, and quantitative expression data. Researchers from the European Bioinformatics Institute applied CaptureSeq to refine transcript annotations in the current ...
Read More »scLVM – identification of hidden subpopulations of cells in RNA-Seq data
Highlights New method improves single-cell genomics analyses; Method clarifies the true differences and similarities between cells by modelling relatedness and removing confounding variables; Scientists can use known molecular pathways to better understand cancer cells, differentiation processes and the pathogenesis of ...
Read More »Upcoming Workshop – RNA-Seq and ChiP-Seq Data Analysis
Venue: European Bioinformatics Institute, CB10 1SD, United Kingdom See map: Google Maps Date: Wednesday, July 9, 2014 – Thursday, July 10, 2014 Organizers: Gabriella Rustici , Cambridge University, UK Admin support: Rebecca Greenhaff , EMBL-EBI, UK Registration Opens Date: Tuesday, May 20, 2014 ...
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