|COMPANION||Comparative Annotation of bacterial genomes.|
|RoVar||Robust Variant detection in genome sequences using Next Generation Data from various platforms|
|essentials||High-throughput analysis of genome-wide transposon mutant libraries is a powerful tool for (conditional) essential gene discovery. Recently, several next generation sequencing approaches, e.g. Tn-seq, INseq and TraDIS, have been developed that accurately map the site of transposon insertions by mutant-specific amplification and sequence readout of DNA flanking the transposon insertions site, assigning a measure of essentiality based on the number of reads per gene or per mutant. However, analysis of these large and complex datasets is hampered by the lack of an easy to use and automated tool for transposon insertion sequencing data.
To fill this gap, we developed ESSENTIALS, an open source, web-based software tool for researchers in the genomics field utilizing transposon insertion sequencing analysis. It accurately predicts (conditionally) essential genes and offers the flexibility of using different sample normalization methods, genomic location bias correction, data preprocessing steps, appropriate statistical tests and various visualizations to examine the results, while requiring only a minimum of input and hands-on work from the researcher.
We successfully applied ESSENTIALS to in-house and published Tn-seq, TraDIS and HITS datasets and we show that the various pre- and post-processing steps on the sequence reads and count data with ESSENTIALS markedly improve the sensitivity and specificity of predicted gene essentiality.
|fgweb||A web-interface that allows to integrate functional genomics data and bioinformatic tool flows with a minimum of time investment in robust web-based software.|