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.

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 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.

FNBtools: A Software to Identify Homozygous Lesions in Deletion Mutant Populations.

Deletion mutagenesis such as fast neutron bombardment (FNB) has been widely used for forward and reverse genetics studies in functional genomics. Traditionally, the time-consuming map-based cloning is used to locate causal deletions in deletion mutants. In recent years, comparative genomic hybridization (CGH) has been used to speed up and scale up the lesion identification process in deletion mutants.

LegumeGRN: a gene regulatory network prediction server for functional and comparative studies.

Building accurate gene regulatory networks (GRNs) from high-throughput gene expression data is a long-standing challenge. However, with the emergence of new algorithms combined with the increase of transcriptomic data availability, it is now reachable. To help biologists to investigate gene regulatory relationships, we developed a web-based computational service to build, analyze and visualize GRNs that govern various biological processes.