For the last 40 years, “Sanger sequencing” allowed to unveil crucial secrets of life. However, this method of sequencing has been time-consuming, laborious and remains expensive even today. Human...
Read More »Challenges in unsupervised clustering of single-cell RNA-seq data
Single-cell RNA sequencing (scRNA-seq) allows researchers to collect large catalogues detailing the transcriptomes of individual cells. Unsupervised clustering is of central importance for the analysis of these data, as it is used to identify putative cell types...
Read More »RNA-seq has the potential to be used as a rapid diagnostic tool in genomic medicine
High-throughput next-generation sequencing technologies have led to a rapid increase in the number of sequence variants identified in clinical practice via diagnostic genetic tests. Current bioinformatic analysis pipelines fail to take adequate account...
Read More »Sequencing-based methods for detection and quantitation of ribose methylations in RNA
Ribose methylation is one of the most abundant RNA modifications and is found in all domains of life and all major classes of RNA (rRNA, tRNA, and mRNA)...
Read More »Optimizing RNA-Seq strategies for transcriptomic analysis of complex viral genomes
Transcriptome profiling has become routine in studies of many biological processes. However, favored approaches such as short-read Illumina RNA sequencing are giving way to long-read sequencing platforms better suited to interrogating the complex...
Read More »A systematic performance evaluation of clustering methods for single-cell RNA-seq data
Subpopulation identification, usually via some form of unsupervised clustering, is a fundamental step in the analysis of many single-cell RNA-seq data sets. This has motivated the development and application of a broad range of clustering methods, based on various..
Read More »RNA-Seq and quantitative modeling unravel the contributions of regulated transcription and mRNA decay to the dynamics of gene expression
Organisms have acquired sophisticated regulatory networks that control gene expression in response to cellular perturbations. Understanding of the mechanisms underlying the coordinated changes in gene expression in response to external and internal stimuli is a fundamental issue in biology. Recent ...
Read More »Single-cell RNA sequencing for the study of development, physiology and disease
An ongoing technological revolution is continually improving our ability to carry out very high-resolution studies of gene expression patterns. Current technology enables the global gene expression profiles of single cells to be defined, facilitating dissection...
Read More »Accelerating a paradigm shift: the common fund single cell analysis program
It has become exceedingly important to understand the precise molecular profiles of the nearly 40 trillion cells in an adult human because of their role in...
Read More »Recent developments in single-cell RNA-Seq of microorganisms
Single-cell transcriptome analysis through next-generation sequencing (single-cell RNA-seq) has been used broadly to address important biological questions. It has proved to be very powerful, and many exciting new biological discoveries have been achieved in the last decade. Its application has ...
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