Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maximilian Hanussek"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009244 (2021)
The large amount of biological data available in the current times, makes it necessary to use tools and applications based on sophisticated and efficient algorithms, developed in the area of bioinformatics. Further, access to high performance computi
Externí odkaz:
https://doaj.org/article/7a947ed7b5e046708e7eb5329b011793
Autor:
Peter Belmann, Björn Fischer, Jan Krüger, Michal Procházka, Helena Rasche, Manuel Prinz, Maximilian Hanussek, Martin Lang, Felix Bartusch, Benjamin Gläßle, Jens Krüger, Alfred Pühler, Alexander Sczyrba
Publikováno v:
F1000Research, Vol 8 (2019)
The academic de.NBI Cloud offers compute resources for life science research in Germany. At the beginning of 2017, de.NBI Cloud started to implement a federated cloud consisting of five compute centers, with the aim of acting as one resource to their
Externí odkaz:
https://doaj.org/article/5c71fc1710674c88b9c86afdf2ef2812
Publikováno v:
Future Generation Computer Systems. 102:1016-1026
The interest in analyzing biological data on a large scale has grown over the last years. Bioinformatics applications play an important role when it comes to the analysis of huge amounts of data. Due to the large amount of biological data and/or larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f50e7824100ea80e1b098a49e23a185
https://doi.org/10.1016/j.future.2019.09.057
https://doi.org/10.1016/j.future.2019.09.057
Publikováno v:
CCGRID
The interest in analyzing biological data on a large scale has grown over the last years. Bioinformatic applications play an important role when it comes to the analysis of huge amounts of data. Due to the large amount of biological data and/or large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48f2794bb28e1190199c14badcc9a077
https://doi.org/10.1109/ccgrid.2019.00027
https://doi.org/10.1109/ccgrid.2019.00027
Publikováno v:
CCGRID
Many complex data analysis tasks are performed by scientific workflows and pipelines deployed on high performance computing (HPC) or cloud computing resources. The complex software stack required by a workflow and unnoticed dependencies can make the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389dea3db52ec56b83e965ba4888486e
https://doi.org/10.1109/ccgrid.2019.00028
https://doi.org/10.1109/ccgrid.2019.00028