Background Microbiome-wide gene expression profiling through high-throughput RNA
sequencing (‘metatranscriptomics’) offers a powerful means to functionally interrogate complex …

Accurately modeling and predicting RNA biology has been a long-standing challenge,
bearing significant clinical ramifications for variant interpretation and the formulation of tailored …

Many cellular functions are mediated by protein–protein interaction networks, which are
environment dependent. However, systematic measurement of interactions in diverse …

Many traits are complex, depending non-additively on variant combinations. Even in model
systems, such as the yeast S. cerevisiae, carrying out the high-order variant-combination …

Condition‐dependent genetic interactions can reveal functional relationships between
genes that are not evident under standard culture conditions. State‐of‐the‐art yeast genetic …

Accurately modeling and predicting RNA biology has been a long-standing challenge,
bearing significant clinical ramifications for variant interpretation and the formulation of tailored …

Two approaches for understanding biological systems and gene function at a large scale are
the mapping of protein-protein interactions (PPIs) and genetic interactions (GIs). PPIs map …

Background De novo assembly of RNA-seq data allows the study of transcriptome in absence
of a reference genome either if data is obtained from a single organism or from a mixed …

Background Microbiome sequencing projects typically collect tens of millions of short reads
per sample. Depending on the goals of the project, the short reads can either be subjected to …

The advent of next-generation sequencing (NGS) makes it more practicable to extract genetic
information from biological systems. Whole-genome sequencing analysis has become one …