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We compared two bioinformatics pipelines for optimal processing of S5 XL sequence data: All expected single nucleotide variants, 15 small indels, and three copy number variants were correctly called, except one common variant adjacent to a rare variant on the primer-binding site. The sensitivity, specificity, false positive rate, and accuracy for detection of single nucleotide variant and small indels of S5 XL sequencing were We obtained highly accurate data through uniform and sufficient coverage depth over all target regions and through optimization of the bioinformatics pipeline.
Hazard assessment and the design of mitigation measures against mountain hazards are usually based on statistically derived magnitude-frequency relationships of process parameters such as discharge, flow velocity, or the volume of debris deposits. However, with respect to debris flows there is a particular lack of such data, as these processes are rare phenomena, the systematic measurements of relevant parameters have only been carried out in selected watersheds within the last decades. In some areas, geomorphic and stratigraphic assessments and dendrochronology studies have been used for estimating magnitudes and frequencies of debris flow events. However, there is still an information gap for quantitative debris flow hazard assessment based on recurrence intervals and associated magnitudes. Our study aims to close this gap by an analysis of an Austrian database of historic events. The earliest events of our database date back to the 6th century, while in-depth information on the events is available since the 18th century.
VIDEO: The frequency of bankfull discharge in natural torrent beds of West Tatras below the source zones
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