TDNAscan: A Software to Identify Complete and Truncated T-DNA Insertions.

Transfer (T)-DNA insertions in mutants isolated from forward genetic screens are typically identified through thermal asymmetric interlaced polymerase chain reaction (TAIL-PCR), inverse PCR, or plasmid rescue. Despite the popularity and success of these methods, they have limited capabilities, particularly in situations in which the T-DNA is truncated. Here, we present a next generation sequencing (NGS)-based platform to facilitate the identification of complete and truncated T-DNA insertions. Our method enables the detection of the corresponding T-DNA insertion orientation and zygosity as well as insertion annotation. This method, called TDNAscan, was developed to be an open source software. We expect that TDNAscan will be a valuable addition to forward genetics toolkits because it provides a solution to the problem of causal gene identification, particularly genes disrupted by truncated T-DNA insertions. We present a case study in which TDNAscan was used to determine that the recessive Arabidopsis thaliana hypersensitive to latrunculin B (hlb3) mutant isolated in a forward genetic screen of T-DNA mutagenized plants encodes a class II FORMIN.

DiVenn: An Interactive and Integrated Web-Based Visualization Tool for Comparing Gene Lists.

Gene expression data generated from multiple biological samples (mutant, double mutant, and wild-type) are often compared via Venn diagram tools. It is of great interest to know the expression pattern between overlapping genes and their associated gene pathways or gene ontology (GO) terms. We developed DiVenn (Dive into the Venn diagram and create a force directed graph)-a novel web-based tool that compares gene lists from multiple RNA-Seq experiments in a force-directed graph, which shows the gene regulation levels for each gene and integrated KEGG pathway and gene ontology knowledge for the data visualization. DiVenn has four key features: (1) informative force-directed graph with gene expression levels to compare multiple data sets; (2) interactive visualization with biological annotations and integrated pathway and GO databases, which can be used to subset or highlight gene nodes to pathway or GO terms of interest in the graph; (3) Pathway and GO enrichment analysis of all or selected genes in the graph; and (4) high resolution image and gene-associated information export. DiVenn is freely available at http://divenn.noble.org/.