ATDBio, a leader in complex oligonucleotide synthesis, and a research team at the Botnar Research Centre, University of Oxford, have been awarded funding by Innovate UK, the UK’s Innovation Agency, to improve single-cell RNA sequencing...
Read More »Ribo-Pop – Simple, cost-effective, and widely applicable ribosomal RNA depletion
The measurement of RNA abundance derived from massively parallel sequencing experiments is an essential technique. Methods that reduce ribosomal RNA levels are usually required prior to sequencing library construction because ribosomal RNA typically...
Read More »A base-resolution sequencing method for 5-hydroxymethylcytidine in RNA
5-Methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC), two of the best-studied DNA modifications, play crucial roles in normal development and disease in mammals. Although 5-methylcytidine (m5C) and 5-hydroxymethylcytidine (hm5C) have also been identified in RNA, their distribution and biological function in RNA ...
Read More »BEARscc determines robustness of single-cell clusters using simulated technical replicates
Single-cell messenger RNA sequencing (scRNA-seq) has emerged as a powerful tool to study cellular heterogeneity within complex tissues. Subpopulations of cells with common gene expression profiles can be identified by applying unsupervised clustering algorithms. However, technical variance is a major ...
Read More »Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers
Modeling bifurcations in single-cell transcriptomics data has become an increasingly popular field of research. Several methods have been proposed to infer bifurcation structure from such data, but all rely on heuristic non-probabilistic inference. Here University of Oxford researchers propose the ...
Read More »hppRNA – a Snakemake-based handy parameter-free pipeline for RNA-Seq analysis of numerous samples
RNA-Seq technology has been gradually becoming a routine approach for characterizing the properties of transcriptome in terms of organisms, cell types and conditions and consequently a big burden has been put on the facet of data analysis, which calls for ...
Read More »switchde – Inference of switch-like differential expression along single-cell pseudotemporal trajectories
Pseudotime analyses of single-cell RNA-seq data have become increasingly common. Typically, a latent trajectory corresponding to a biological process of interest – such as differentiation or cell cycle – is discovered. However, relatively little attention has been paid to modelling ...
Read More »Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-fetal interface during pregnancy
Growth and survival of the mammalian embryo within the uterine environment depends on the placenta, a highly complex vascularized organ comprised of both maternal and fetal tissues. Recent experiments demonstrate that the zinc finger transcriptional repressor Prdm1/Blimp1 is essential for ...
Read More »ZIFA – Dimensionality reduction for zero-inflated single-cell gene expression analysis
Single-cell RNA-seq data allows insight into normal cellular function and various disease states through molecular characterization of gene expression on the single cell level. Dimensionality reduction of such high-dimensional data sets is essential for visualization and analysis, but single-cell RNA-seq ...
Read More »mNET-Seq – snapshots of transcription
Transcription is a highly dynamic process. Consequently, researchers at the University of Oxford have developed native elongating transcript sequencing technology for mammalian chromatin (mNET-seq), which generates single-nucleotide resolution, nascent transcription profiles. Nascent RNA was detected in the active site of ...
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