Researchers from the Helmholtz Center Munich discuss the current state of RNA velocity modeling approaches, discuss various examples illustrating limitations and potential pitfalls, and provide...
Read More »Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape
Recent years have seen a revolution in single-cell technologies, particularly single-cell RNA-sequencing (scRNA-seq). As the number, size and complexity...
Read More »Spatial transcriptomic technologies and available paths for analysis
Deciphering the principles and mechanisms by which gene activity orchestrates complex cellular arrangements in multicellular organisms has far-reaching implications for research in the life...
Read More »Emerging bulk RNA-Seq applications: the application and utility of bioinformatic methodology
In a review article published in the briefing in bioinformatics, researchers from various organizations comprehend the emerging bulk RNA-Seq-based analyses and highlight the power of bulk RNA-Seq in providing biological insights. Significant innovations in next-generation sequencing techniques and bioinformatics tools ...
Read More »Experimental approaches and computational workflows for systematic mapping and functional interpretation of RNA modifications
In addition to four nucleotides in mRNA modified nucleotides are an essential addition to the standard genetic code in eukaryotes and prokaryotes. Epitranscriptomics has emerged as a new field to study nucleotide modifications in mRNA and examine their impact on ...
Read More »Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics
Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but does not capture their spatial distribution nor reveal local...
Read More »The triumphs and limitations of computational methods for scRNA-seq
The rapid progress of protocols for sequencing single-cell transcriptomes over the past decade has been accompanied by equally impressive advances...
Read More »Bias in RNA-seq Library Preparation
Although RNA sequencing (RNA-seq) has become the most advanced technology for transcriptome analysis, it also confronts various challenges. As we all know, the workflow of RNA-seq is extremely complicated and it is easy to produce bias. This may damage the ...
Read More »Single cell RNA sequencing approaches to cardiac development and congenital heart disease
The development of single cell RNA sequencing technologies has accelerated the ability of scientists to understand healthy and disease states of the cardiovascular system. Congenital heart defects occur in...
Read More »How to get started with single cell RNA sequencing data analysis
Over the last 5 years, single cell methods have enabled the monitoring of gene and protein expression, genetic, and epigenetic changes in thousands of individual cells in a single...
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