Publications by authors named "Rasmus Amund Henriksen"

Article Synopsis
  • - The initial step in analyzing ancient DNA involves verifying that the DNA sequencing reads are genuinely ancient, which is done by checking for typical post-mortem damage characteristics like cytosine deamination and nicks.
  • - A new program called ngsBriggs uses a statistical method to quickly and accurately quantify post-mortem damage (PMD) in ancient DNA, improving the estimation of damage parameters compared to previous methods.
  • - ngsBriggs not only offers greater accuracy in distinguishing ancient from modern DNA for contamination control, but it is also significantly faster than other existing techniques, making it a valuable tool for researchers.
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Summary: With the rapid expansion of the capabilities of the DNA sequencers throughout the different sequencing generations, the quantity of generated data has likewise increased. This evolution has also led to new bioinformatical methods, for which in silico data have become crucial when verifying the accuracy of a model or the robustness of a genomic analysis pipeline. Here, we present a multithreaded next-generation simulator for next-generation sequencing data (NGSNGS), which simulates reads faster than currently available methods and programs.

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Background: Extrachromosomal circular deoxyribonucleic acid (eccDNA) is evolving as a valuable biomarker, while little is known about its presence in urine.

Methods: Here, we report the discovery and analysis of urinary cell-free eccDNAs (ucf-eccDNAs) in healthy controls and patients with advanced chronic kidney disease (CKD) by Circle-Seq.

Results: Millions of unique ucf-eccDNAs were identified and comprehensively characterised.

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Extrachromosomal circular DNA (eccDNA) is common in somatic tissue, but its existence and effects in the human germline are unexplored. We used microscopy, long-read DNA sequencing, and new analytic methods to document thousands of eccDNAs from human sperm. EccDNAs derived from all genomic regions and mostly contained a single DNA fragment, although some consisted of multiple fragments.

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