Background Big data is becoming ubiquitous in biology, and poses significant challenges in
data analysis and interpretation. RNAi screening has become a workhorse of functional …

High-throughput RNAi screenings (HTS) allow quantifying the impact of the deletion of each
gene in any particular function, from virus-host interactions to cell differentiation. However …

Background RNAi screening is a powerful method to study the genetics of intracellular
processes in metazoans. Technically, the approach has been largely inspired by techniques …

Background The analysis of high-throughput screening data sets is an expanding field in
bioinformatics. High-throughput screens by RNAi generate large primary data sets which …

Knockdown of host genes using high-throughput genome-wide RNA interference screens
has identified numerous host factors that affect viral infections, which would be helpful in …

Abstract Background Large-scale RNAi screening has become an important technology for
identifying genes involved in biological processes of interest. However, the quality of large …

Systematic, genome-wide RNA interference (RNAi) analysis is a powerful approach to
identify gene functions that support or modulate selected biological processes. An emerging …

The possibility that RNA transcripts from clinical samples contain plenty of virus RNAs has
not been pursued actively so far. We here developed a new tool for analyzing virus …

Several available online tools provide network growing functions where an algorithm
utilizing different data sources suggests additional genes/proteins that should connect an …

RNAi screens are widely used in functional genomics. Although the screen data can be
susceptible to a number of experimental biases, many of these can be corrected by …