Single-cell RNA sequencing has led to unprecedented levels of data complexity. Although several computational platforms are available, performing data analyses for multiple datasets remains a significant challenge. University of Oxford researchers provide a comprehensive analytical protocol to interrogate multiple datasets ...
Read More »scONE-seq – simultaneous single-cell transcriptome and genome profiling in a one-tube reaction
Genomic and transcriptomic heterogeneity both play important roles in normal cellular function as well as in disease development. To be able to characterize these different forms of cellular heterogeneity in diverse sample types, researchers from the Hong Kong University of ...
Read More »New sequencing technique (SENT-seq) could accelerate and improve mRNA therapies
Therapeutics based on messenger RNA, or mRNA, can potentially treat a wide range of maladies, including cancer, genetic diseases, and as the world..
Read More »VASA-seq – high-throughput total RNA sequencing in single cells
Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes the...
Read More »ResPAN – a powerful batch correction model for scRNA-seq data through residual adversarial networks
With the advancement of technology, we can generate and access large-scale, high dimensional and diverse genomics data, especially through single-cell RNA sequencing (scRNA-seq). However...
Read More »Using Transcriptome Sequencing to identify DEGs in response to chemical challenges
mRNA sequencing (RNA-seq) is a powerful tool that uses next-generation sequencing technologies to examine a cell’s transcriptome profile. This technology has a wide range of applications, from discovering novel transcripts and alternative splicing to analysing the transcriptome of samples in ...
Read More »Researchers develop online portal to show how biases in RNA sequences affect gene expression
A recent publication from researchers at the University of Kentucky explains the importance of identifying and understanding how differences...
Read More »Transcriptional recording enables noninvasive measurement of the intestinal tract with potential for biomedical research and future biomedical diagnostic applications
Bacteria within the gut continuously adapt their gene expression to environmental conditions that are associated with diet, health, and disease. Noninvasive...
Read More »ActiveSVM – single-cell mRNA-seq data analysis with a minimal number of genes
Sequencing costs currently prohibit the application of single-cell mRNA-seq to many biological and clinical analyses. Targeted single-cell mRNA-sequencing reduces sequencing costs by profiling reduced gene sets that capture biological information with a minimal number of genes. Caltech researchers have developed ...
Read More »scRNA-Seq draws a a roadmap to future personalized medicine for heart defects that develop before birth
A team of investigators from Texas Heart Institute, Texas Children’s Hospital and Baylor College of Medicine uncovered new insights into the mechanisms underlying the progression of congenital heart...
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