Zobrazeno 1 - 10
of 8 536
pro vyhledávání: '"Hölzer, A."'
Autor:
Miriam Mehler, Elisabeth Balint, Maria Gralla, Tim Pößnecker, Michael Gast, Michael Hölzer, Markus Kösters, Harald Gündel
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-18 (2024)
Abstract Recent systematic reviews have shown that emotional competencies can be improved through training. In the workplace, such training has become increasingly popular over the last decade. These programs aim to enhance emotional intelligence, em
Externí odkaz:
https://doaj.org/article/8e632be03b154f7991d55794b578dca8
Publikováno v:
Eiszeitalter und Gegenwart, Vol 73, Pp 161-178 (2024)
Understanding how landscapes evolve under changing tectonic and climatic boundary conditions requires the quantification of erosion rates on different temporal and spatial scales. Here we present results of local and catchment-wide erosion rates deri
Externí odkaz:
https://doaj.org/article/b24534da99b2476697eb4b1e5d8dd39c
Autor:
Munteanu, Viorel, Gordeev, Victor, Saldana, Michael, Aßmann, Eva, Su, Justin Maine, Drabcinski, Nicolae, Zlenko, Oksana, Kit, Maryna, Iordachi, Felicia, Patel, Khooshbu Kantibhai, Nahid, Abdullah Al, Chittampalli, Likhitha, Xu, Yidian, Skums, Pavel, Agrawal, Shelesh, Hölzer, Martin, Smith, Adam, Zelikovsky, Alex, Mangul, Serghei
In light of the continuous transmission and evolution of SARS-CoV-2 coupled with a significant decline in clinical testing, there is a pressing need for scalable, cost-effective, long-term, passive surveillance tools to effectively monitor viral vari
Externí odkaz:
http://arxiv.org/abs/2309.16994
Autor:
Munteanu, Viorel, Saldana, Michael, Ciorba, Dumitru, Bostan, Viorel, Su, Justin Maine, Kasianchuk, Nadiia, Sharma, Nitesh Kumar, Knyazev, Sergey, Gordeev, Victor, Aßmann, Eva, Lobiuc, Andrei, Covasa, Mihai, Crandall, Keith A., Ouyang, Wenhao O., Wu, Nicholas C., Mason, Christopher, Tierney, Braden T, Lucaci, Alexander G, Zelikovsky, Alex, Mohebbi, Fatemeh, Skums, Pavel, Gibas, Cynthia, Schlueter, Jessica, Rzymski, Piotr, Solo-Gabriele, Helena, Hölzer, Martin, Smith, Adam, Mangul, Serghei
During the SARS-CoV-2 pandemic, wastewater-based genomic surveillance (WWGS) emerged as an efficient viral surveillance tool that takes into account asymptomatic cases and can identify known and novel mutations and offers the opportunity to assign kn
Externí odkaz:
http://arxiv.org/abs/2309.13326
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract Microbial pangenome analysis identifies present or absent genes in prokaryotic genomes. However, current tools are limited when analyzing species with higher sequence diversity or higher taxonomic orders such as genera or families. The Roary
Externí odkaz:
https://doaj.org/article/83353ccb97444e1db5b097462cf48387
Autor:
Wang Liu-Wei, Wiep van der Toorn, Patrick Bohn, Martin Hölzer, Redmond P. Smyth, Max von Kleist
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Direct RNA sequencing (dRNA-seq) on the Oxford Nanopore Technologies (ONT) platforms can produce reads covering up to full-length gene transcripts, while containing decipherable information about RNA base modifications and poly-A
Externí odkaz:
https://doaj.org/article/cd3c7d0cec67474b96de101bc58c8145
Publikováno v:
Journal of Chemical Physics; 8/14/2024, Vol. 161 Issue 6, p1-17, 17p
Autor:
Byun, Thak Sang, Lach, Timothy G., Lin, Yan-Ru, Collins, David A., Epps, Kelsey, Hoelzer, David T.
Publikováno v:
In Journal of Nuclear Materials 15 August 2024 597
Autor:
Martin Hölzer, Stephan Fuchs, René Kmiecinski, Kathrin Trappe, Marie Lataretu, Oliver Drechsel
Publikováno v:
F1000Research, Vol 12 (2024)
Background Accurate genome sequences form the basis for genomic surveillance programs, the added value of which was impressively demonstrated during the COVID-19 pandemic by tracing transmission chains, discovering new viral lineages and mutations, a
Externí odkaz:
https://doaj.org/article/908a40cfdc384e6597bd400401c9d545
In this article, we analyze perinatal data with birth weight (BW) as primarily interesting response variable. Gestational age (GA) is usually an important covariate and included in polynomial form. However, in opposition to this univariate regression
Externí odkaz:
http://arxiv.org/abs/2104.14243