Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bjørn P. Pedersen"'
Autor:
Nikolai Tschernoster, Florian Erger, Stefan Kohl, Björn Reusch, Andrea Wenzel, Stephen Walsh, Holger Thiele, Christian Becker, Marek Franitza, Malte P. Bartram, Martin Kömhoff, Lena Schumacher, Christian Kukat, Tatiana Borodina, Claudia Quedenau, Peter Nürnberg, Markus M Rinschen, Jan H. Driller, Bjørn P. Pedersen, Karl P. Schlingmann, Bruno Hüttel, Detlef Bockenhauer, Bodo Beck, Janine Altmüller
Publikováno v:
Genome Medicine, Vol 15, Iss 1, Pp 1-17 (2023)
Abstract Background Long-read sequencing is increasingly used to uncover structural variants in the human genome, both functionally neutral and deleterious. Structural variants occur more frequently in regions with a high homology or repetitive segme
Externí odkaz:
https://doaj.org/article/562f2d8f33f64894b552c46d64c66672
Autor:
Bjørn-Richard Pedersen, Rigmor Katrine Johansen, Einar Holsbø, Hilde Sommerseth, Lars Ailo Bongo
Publikováno v:
Historical Life Course Studies, Vol 14 (2024)
Any machine learning method for transcribing historical text requires manual verification and correction, which is often time-consuming and expensive. Our aim is to make it more efficient. Previously, we developed a machine learning model to transcri
Externí odkaz:
https://doaj.org/article/3df0fc3fd40f45c8966b91efe1c76b74
Autor:
Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen, Nikita Shvetsov, Johan Ravn, Hilde Leikny Sommerseth, Lars Ailo Bongo
Publikováno v:
Historical Life Course Studies, Vol 12 (2022)
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeli
Externí odkaz:
https://doaj.org/article/7b9631dad0dc480f99c04cbe265b4f3a
Autor:
Rune Thomas Kidmose, Jonathan Juhl, Poul Nissen, Thomas Boesen, Jesper Lykkegaard Karlsen, Bjørn Panyella Pedersen
Publikováno v:
IUCrJ, Vol 6, Iss 4, Pp 526-531 (2019)
Model building into experimental maps is a key element of structural biology, but can be both time consuming and error prone for low-resolution maps. Here we present Namdinator, an easy-to-use tool that enables the user to run a molecular dynamics fl
Externí odkaz:
https://doaj.org/article/62db1750502545a0b799c66a35dc5325
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
Plants are dependent on controlled sugar uptake via Monosaccharide Transporters, such as STP10, for correct organ development, sugar accumulation in fruits and microbial defense. Here authors present the crystal structure of STP10 bound to glucose wh
Externí odkaz:
https://doaj.org/article/ec0f3d5b002246699810933c73970994
Autor:
Marie E Sweet, Xihui Zhang, Hediye Erdjument-Bromage, Vikas Dubey, Himanshu Khandelia, Thomas A Neubert, Bjørn P Pedersen, David L Stokes
Publikováno v:
eLife, Vol 9 (2020)
KdpFABC is an ATP-dependent K+ pump that ensures bacterial survival in K+-deficient environments. Whereas transcriptional activation of kdpFABC expression is well studied, a mechanism for down-regulation when K+ levels are restored has not been descr
Externí odkaz:
https://doaj.org/article/74c658c8288544649c85982d6776c5e1
Autor:
Bjørn P Pedersen, Georgiana Ifrim, Poul Liboriussen, Kristian B Axelsen, Michael G Palmgren, Poul Nissen, Carsten Wiuf, Christian N S Pedersen
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85139 (2014)
BackgroundStructured Logistic Regression (SLR) is a newly developed machine learning tool first proposed in the context of text categorization. Current availability of extensive protein sequence databases calls for an automated method to reliably cla
Externí odkaz:
https://doaj.org/article/1ca32674a916416281ef7f72a391c25f