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  • Search: subject:"Sequence data"
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Subject
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Access and Benefit-Sharing (ABS) 2 Convention on Biological Diversity (CBD) 2 Disclosure 2 Food and Agriculture Organization (FAO) 2 Free Trade Agreements (FTAs) 2 Genetic Resources 2 Genetic Sequence Data (GSD) 2 Genetic Sequence Information (GSI) 2 Intellectual Property 2 Intellectual Property Rights (IPRs) 2 International Treaty on Plant Genetic Resources for Food and Agriculture (ITPGRFA) 2 Marine Genetic Resources 2 Misappropriation 2 Mutually Agreed Terms (MAT) 2 Nagoya Protocol 2 Pandemic Influenza Preparedness (PIP) Framework 2 Patent 2 Prior Informed Consent (PIC) 2 Synthetic Biology 2 TRIPS 2 Traditional Knowledge 2 UPOV Convention 2 United Nations Convention on the Law of the Sea (UNCLOS) 2 World Health Organization (WHO) 2 World Intellectual Property Organization (WIPO) 2 World Trade Organization (WTO) 2 sequence data 2 310 Statistik 1 Artenvielfalt 1 BLUP 1 Biodiversity 1 Biotechnologie 1 Biotechnology 1 COVID-19 1 Cluster analysis 1 Clusteranalyse 1 Coronavirus 1 Drosophila melanogaster 1 EGC 070 1 EGCF 000 1
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Online availability
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Free 5 CC license 1
Type of publication
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Book / Working Paper 3 Article 2
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Research Report 1 Thesis 1 Working Paper 1
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Language
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English 5
Author
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Romero, Thamara 2 Syam, Nirmalya 2 Beaujot, Roderic 1 Liu, Na 1 Luo, Zhixue 1 Ober, Ulrike 1 Omariba, Walter Rasugu 1 Rajulton, Fernando 1 Wu, Ye 1 Zhang, Lin 1
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Published in...
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Data science and management : DSM 1 Demographic Research 1 Research Paper 1 Research paper 1
Source
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ECONIS (ZBW) 2 BASE 1 EconStor 1 RePEc 1
Showing 1 - 5 of 5
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Time series clustering of COVID-19 pandemic-related data
Luo, Zhixue; Zhang, Lin; Liu, Na; Wu, Ye - In: Data science and management : DSM 6 (2023) 2, pp. 79-87
The COVID-19 pandemic continues to impact daily life worldwide. It would be helpful and valuable if we could obtain valid information from the COVID-19 pandemic sequential data itself for characterizing the pandemic. Here, we aim to demonstrate that it is feasible to analyze the patterns of the...
Persistent link: https://www.econbiz.de/10014518003
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Misappropriation of genetic resources and associated traditional knowledge: Challenges posed by intellectual property and genetic sequence information
Syam, Nirmalya; Romero, Thamara - 2021
Improper acquisition of genetic resources (GRs) and associated traditional knowledge (TK) without prior informed consent and on mutually agreed terms, in accordance with national laws of the country providing the GR and associated TK, as well as without any fair and equitable sharing of the...
Persistent link: https://www.econbiz.de/10012793810
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Misappropriation of genetic resources and associated traditional knowledge: challenges posed by intellectual property and genetic sequence information
Syam, Nirmalya; Romero, Thamara - 2021
Improper acquisition of genetic resources (GRs) and associated traditional knowledge (TK) without prior informed consent and on mutually agreed terms, in accordance with national laws of the country providing the GR and associated TK, as well as without any fair and equitable sharing of the...
Persistent link: https://www.econbiz.de/10012603957
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Genomic Prediction for Quantitative Traits: Using Kernel Methods and Whole Genome Sequence Based Approaches ; Genomische Vorhersage für quantitative Merkmale: Verwendung von Kernel-Methoden und Verfahren, die auf vollständigen Genomsequenzen basieren
Ober, Ulrike - 2013
Persistent link: https://www.econbiz.de/10010353233
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Correlated mortality risks of siblings in Kenya
Omariba, Walter Rasugu; Rajulton, Fernando; Beaujot, Roderic - In: Demographic Research 18 (2008) 11, pp. 311-336
Random-effect models have been useful in demonstrating how unobserved factors are related to infant or child death clustering. Another potential hypothesis is state dependence whereby the death of an older sibling affects the risk of death of a subsequent sibling. Probit regression models...
Persistent link: https://www.econbiz.de/10005700038
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