Zobrazeno 1 - 10 of 41 pro vyhledávání: '"Ludwig Mann"'
1
Akademický článek
High-fidelity (repeat) consensus sequences from short reads using combined read clustering and assembly
Autor: Ludwig Mann, Kristin Balasch, Nicola Schmidt, Tony Heitkam
Publikováno v: BMC Genomics, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Despite the many cheap and fast ways to generate genomic data, good and exact genome assembly is still a problem, with especially the repeats being vastly underrepresented and often misassembled. As short reads in low coverage are
Externí odkaz: https://doaj.org/article/084f541f62754da790d613dd07f27aaa
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2
Akademický článek
ECCsplorer: a pipeline to detect extrachromosomal circular DNA (eccDNA) from next-generation sequencing data
Autor: Ludwig Mann, Kathrin M. Seibt, Beatrice Weber, Tony Heitkam
Publikováno v: BMC Bioinformatics, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background Extrachromosomal circular DNAs (eccDNAs) are ring-like DNA structures physically separated from the chromosomes with 100 bp to several megabasepairs in size. Apart from carrying tandemly repeated DNA, eccDNAs may also harbor extra
Externí odkaz: https://doaj.org/article/5b294ebd462d4534b94003e9fe1242a9
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3
Akademický článek
Ancient Artworks and Crocus Genetics Both Support Saffron’s Origin in Early Greece
Autor: Seyyedeh-Sanam Kazemi-Shahandashti, Ludwig Mann, Abdullah El-nagish, Dörte Harpke, Zahra Nemati, Björn Usadel, Tony Heitkam
Publikováno v: Frontiers in Plant Science, Vol 13 (2022)
Saffron crocus (Crocus sativus) is a male-sterile, triploid flower crop, and source of the spice and colorant saffron. For over three millennia, it was cultivated across the Mediterranean, including ancient Greece, Persia, and other cultures, later s
Externí odkaz: https://doaj.org/article/2f4d9d6d94e34d49984c995e84927977
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5
Akademický článek
Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network
Autor: Martin Gillstedt, Ludwig Mannius, John Paoli, Johan Dahlén Gyllencreutz, Julia Fougelberg, Eva Johansson Backman, Jenna Pakka, Oscar Zaar, Sam Polesie
Publikováno v: Acta Dermato-Venereologica, Vol 102 (2022)
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with
Externí odkaz: https://doaj.org/article/869a1afc26d14d4e93df1283dfd155c7
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