Over the past years, NGS has become a crucial workhorse for open-view pathogen diagnostics. Yet, long turnaround times result from using massively parallel high-throughput technologies as the analysis can only be performed after sequencing has finished. The interpretation of results can further be challenged by contaminations, clinically irrelevant sequences, and the sheer amount and complexity of the data.
View Article and Find Full Text PDFThe sequential paradigm of data acquisition and analysis in next-generation sequencing leads to high turnaround times for the generation of interpretable results. We combined a novel real-time read mapping algorithm with fast variant calling to obtain reliable variant calls still during the sequencing process. Thereby, our new algorithm allows for accurate read mapping results for intermediate cycles and supports large reference genomes such as the complete human reference.
View Article and Find Full Text PDFMotivation: In metagenomics, Kraken is one of the most widely used tools due to its robustness and speed. Yet, the overall turnaround time of metagenomic analysis is hampered by the sequential paradigm of wet and dry lab. In urgent experiments, it can be crucial to gain a timely insight into a dataset.
View Article and Find Full Text PDFMotivation: In next-generation sequencing, re-identification of individuals and other privacy-breaching strategies can be applied even for anonymized data. This also holds true for applications in which human DNA is acquired as a by-product, e.g.
View Article and Find Full Text PDFAt a molecular level, the regulation of many important cellular processes is still obscure in xanthomonads, a bacterial group of outstanding relevance as world-wide plant pathogens and important for biotechnology as producers of the polysaccharide xanthan. Transcriptome analysis indicated a sucrose-dependent regulation of 18 genes in Xanthomonas campestris pv. campestris (Xcc) B100.
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