Evergene: an interactive webtool for large-scale gene-centric analysis of primary tumours.

Motivation: The data sharing of large comprehensive cancer research projects, such as The Cancer Genome Atlas (TCGA), has improved the availability of high-quality data to research labs around the world. However, due to the volume and inherent complexity of high-throughput omics data, analysis of this is limited by the capacity for performing data processing through programming languages such as R or Python. Existing webtools lack functionality that supports large-scale analysis; typically, users can only input one gene, or a gene list condensed into a gene set, instead of individual gene-level analysis.

The cecal microbiome of commercial broiler chickens varies significantly by season.

Next-generation DNA sequencing is rapidly becoming a powerful tool for food animal management. One valuable use of this technology is to re-examine long-standing observations of performance differences associated with animal husbandry practices to better understand how these differences may be modulated by the gastrointestinal (GI) microbiome. The influences of environmental parameters such as air temperature and relative humidity on broiler chicken performance have commonly been observed, but how the GI microbiome may respond to seasonal environmental changes remains largely unknown.