Tag Archives: Ludwig-Maximilians-University

Single cell RNA-seq (scRNA-seq) experiments typically analyze hundreds or thousands of cells after amplification of the cDNA. The high throughput is made possible by the early introduction of sample-specific barcodes (BCs) and the amplification...

Single-cell RNA sequencing (scRNA-seq) is currently transforming our understanding of biology, as it is a powerful tool to resolve cellular heterogeneity and molecular networks. Over 50 protocols have been...

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes in RNA-seq data. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and ...

The recent development of sensitive protocols allows to generate RNA-seq libraries of single cells. The throughput of such scRNA-seq protocols is rapidly increasing, enabling the profiling of tens of thousands of cells and opening exciting possibilities to analyse cellular identities. ...

Simulations are essential to find the best compromise between statistical power and cost effectiveness, but also help with the interpretation of conducted RNA-seq experiments. For example, researchers often wonder why their results differ from previous studies, powsim helps here by ...

Single-cell mRNA sequencing (scRNA-seq) allows to profile heterogeneous cell populations, offering exciting possibilities to tackle a variety of biological and medical questions. A range of methods has been recently developed, making it necessary to systematically compare their sensitivity, accuracy, precision ...

Currently quantitative RNA-Seq methods are pushed to work with increasingly small starting amounts of RNA that require PCR amplification to generate libraries. However, it is unclear how much noise or bias amplification introduces and how this effects precision and accuracy ...