qDATA - an R application implementing a practical framework for analyzing quantitative real-time PCR data.

Gene expression assays that are based on quantitative real-time PCR (qRT-PCR) method are still very popular, therefore, we developed qDATA, an open-source R-based bioinformatics application that offers a quick and intuitive analysis of raw cycle threshold (Ct) values. The application relies on a straightforward data input consisting in Ct values and on other mandatory fields specifying the experimental and control groups. qDATA automatically performs descriptive statistics, normality and statistical testing on 2 (or ΔCt) and 2 terms calculated with Livak's method.

A novel insertional allele of the gene is associated with severe mutant phenotypes in .

has been at the forefront of genetic studies and biochemical modeling for over a century. Yet, the functions of many genes are still unknown, mainly because no phenotypic data are available. Herein, we present the first evidence data regarding the particular molecular and other quantifiable phenotypes, such as viability and anatomical anomalies, induced by a novel insertional mutant allele of the gene.

Mutations of Gene Disturb Innate Immune Response to .

(the fruit fly) is a valuable experimental platform for modeling host-pathogen interactions. It is also commonly used to define innate immunity pathways and to understand the mechanisms of both host tolerance to commensal microbiota and response to pathogenic agents. Herein, we investigate how the host response to bacterial infection is mirrored in the expression of genes of Imd and Toll pathways when strains with different genetic backgrounds are infected with ATCC 27853.