Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/21230
DC FieldValueLanguage
dc.contributor.authorPfeil, Julianeen_US
dc.contributor.authorSchulze, Sabrina Kathrinen_US
dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorHoang, Yenen_US
dc.date.accessioned2022-07-19T10:22:09Z-
dc.date.available2022-07-19T10:22:09Z-
dc.date.issued2017-09-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/21230-
dc.description.abstractIn September 2017 a "Big Data Training School for Life Sciences" took place in Uppsala, Sweden, jointly organised by EMBnet and the COST Action CHARME (Harmonising standardisation strategies to increase efficiency and competitiveness of European life-science research - CA15100). The week programme was divided into handson sessions and lectures. In both cases, insights into dealing with big amounts of data were given. This paper describes our personal experience as students’ by providing also some suggestions that we hope can help the organisers as well as other trainers to further increase the efficiency of such intensive courses for students with diverse backgrounds.en_US
dc.relation.ispartofEMBnet. journalen_US
dc.titleReport on the “Big Data Training School for Life Sciences”, 18-22 September 2017, Uppsala, Swedenen_US
dc.typeArticleen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
Files in This Item:
File Description SizeFormat 
905-6279-4-PB.pdf1.14 MBAdobe PDFView/Open
Show simple item record

Page view(s)

22
checked on Jun 4, 2024

Download(s)

7
checked on Jun 4, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.