Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kidane M. Tekle"'
Autor:
Kidane M. Tekle, Sveinung Gundersen, Kjetil Klepper, Lars Ailo Bongo, Inge Alexander Raknes, Xiaxi Li, Wei Zhang, Christian Andreetta, Teshome Dagne Mulugeta, Matúš Kalaš, Morten B. Rye, Erik Hjerde, Jeevan Karloss Antony Samy, Ghislain Fornous, Abdulrahman Azab, Dag Inge Våge, Eivind Hovig, Nils Peder Willassen, Finn Drabløs, Ståle Nygård, Kjell Petersen, Inge Jonassen
Publikováno v:
F1000Research, Vol 7 (2018)
The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web
Externí odkaz:
https://doaj.org/article/efa584ad97434e9aa81c79d2f1879b31
Autor:
Christian Andreetta, Kjell Petersen, Eivind Hovig, Erik Hjerde, Kjetil Klepper, Morten Beck Rye, Jeevan Karloss Antony Samy, Finn Drabløs, Teshome Dagne Mulugeta, Dag Inge Våge, Wei Zhang, Matúš Kalaš, Abdulrahman Azab, Nils Peder Willassen, Lars Ailo Bongo, Inge Alexander Raknes, Inge Jonassen, Xiaxi Li, Ståle Nygård, Ghislain Fornous, Kidane M. Tekle, Sveinung Gundersen
Publikováno v:
7:968
F1000 Research
F1000 Research
The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89ed8ba565e85b358e6fa7f5a2bc2bc7
https://hdl.handle.net/10037/14805
https://hdl.handle.net/10037/14805
Publikováno v:
R174
Arthritis Research & Therapy
Arthritis Research & Therapy
Introduction: Our understanding of autoimmunity is skewed considerably towards the late stages of overt disease and chronic inflammation. Defining the targeted organ’s role during emergence of autoimmune diseases is, however, critical in order to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2bd2fbe14def1333b873065e6a2c891
https://hdl.handle.net/1956/8492
https://hdl.handle.net/1956/8492
Autor:
Sandhya Premnath Tiwari, Siv Midtun Hollup, Lars Skjærven, Tristan Cragnolini, Svenn Helge Grindhaug, Edvin Fuglebakk, Kidane M. Tekle, Nathalie Reuter
Publikováno v:
ResearcherID
Normal modes analysis (NMA) has been shown to be an effective computational method to study the movements of proteins, especially at the domain level. WEBnm@ (http://apps.cbu.uib.no/webnma/home) is a web-tool which provides access to calculations of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5aa6d79eb667de3e01fe7cb9156a370
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000316074302169&KeyUID=WOS:000316074302169
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000316074302169&KeyUID=WOS:000316074302169
Autor:
Nathalie Reuter, Svenn Helge Grindhaug, Sandhya Premnath Tiwari, Tristan Cragnolini, Edvin Fuglebakk, Kidane M. Tekle, Lars Skjærven, Siv Midtun Hollup
Publikováno v:
BMC Bioinformatics
Background Normal mode analysis (NMA) using elastic network models is a reliable and cost-effective computational method to characterise protein flexibility and by extension, their dynamics. Further insight into the dynamics–function relationship c