The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

From RNA-seq reads to differential expression results | Genome Biology Skip to main content
SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …

It is expected that emerging digital gene expression (DGE) technologies will overtake
microarray technologies in the near future for many functional genomics applications. One of …

Identification of protein–protein interactions often provides insight into protein function, and
many cellular processes are performed by stable protein complexes. We used tandem …

The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq
is likely to become the platform of choice for interrogating steady state RNA. In order to …

Gene expression is the fundamental level at which the results of various genetic and
regulatory programs are observable. The measurement of transcriptome-wide gene …

High-throughput sequencing of cDNA (RNA-seq) is used extensively to characterize the
transcriptome of cells. Many transcriptomic studies aim at comparing either abundance …

RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in
many areas of biology, including studies into gene regulation, development and disease. Of …

Mapping protein–protein interactions is an invaluable tool for understanding protein
function. Here, we report the first large‐scale study of protein–protein interactions in human …

We derive a quantile-adjusted conditional maximum likelihood estimator for the dispersion
parameter of the negative binomial distribution and compare its performance, in terms of …