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Título: | The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson's disease data |
Autor: | Leonard, Hampton; Murtadha, Ruqaya; Martínez-Carrasco, Alejandro; Jama, Alina; Müller-Nedebock, Amica Corda; Gil-Martínez, Ana Luisa; Illarionova, Anastasia; Moore, Anni; Bustos, Bernabé I.; Jadhav, Bharati; Huxford, Brook; Storm, Catherine S.; Towns, Clodagh; Vitale, Dan; Chetty, Devina; Yu, Eric; Grenn, Francis P.; Salazar, Gabriela; Rateau, Geoffrey; Iwaki, Hirotaka; Elsayed, Inas; Foote, Isabelle Francesca; Jansen van Rensburg, Zuné; Kim, Jonggeol Jeff; Yuan, Jie; Lake, Julie; Brolin, Kajsa; Senkevich, Konstantin; Wu, Lesley; Tan, Manuela M. X.; Periñán, María Teresa CSIC ORCID; Makarious, Mary B.; Ta, Michael; Pillay, Nikita Simone; Betancor, Oswaldo Lorenzo; Reyes-Pérez, Paula R.; Álvarez Jerez, Pilar; Saini, Prabhjyot; Al-Ouran, Rami; Sivakumar, Ramiya; Real, Raquel; Reynolds, Regina H.; Hu, Ruifneg; Abrahams, Shameemah; Rao, Shilpa C.; Antar, Tarek; Leal, Thiago Peixoto; Iankova, Vassilena; Scotton, William J.; Song, Yeajin; Singleton, Andrew; Nalls, Mike A.; Dey, Sumit; Bandres-Ciga, Sara; Blauwendraat, Cornelis; Noyce, Alastair; International Parkinson’s Disease Genomics Consortium; Global Parkinson’s Genetics Program | Palabras clave: | Conferences and meetings Genomics |
Fecha de publicación: | 4-mar-2023 | Editor: | Nature Publishing Group | Citación: | npj Parkinson's Disease 9: 33 (2023) | Resumen: | Open science and collaboration are necessary to facilitate the advancement of Parkinson's disease (PD) research. Hackathons are collaborative events that bring together people with different skill sets and backgrounds to generate resources and creative solutions to problems. These events can be used as training and networking opportunities, thus we coordinated a virtual 3-day hackathon event, during which 49 early-career scientists from 12 countries built tools and pipelines with a focus on PD. Resources were created with the goal of helping scientists accelerate their own research by having access to the necessary code and tools. Each team was allocated one of nine different projects, each with a different goal. These included developing post-genome-wide association studies (GWAS) analysis pipelines, downstream analysis of genetic variation pipelines, and various visualization tools. Hackathons are a valuable approach to inspire creative thinking, supplement training in data science, and foster collaborative scientific relationships, which are foundational practices for early-career researchers. The resources generated can be used to accelerate research on the genetics of PD. | Versión del editor: | https://doi.org/10.1038/s41531-023-00472-6 | URI: | http://hdl.handle.net/10261/340222 | DOI: | 10.1038/s41531-023-00472-6 | E-ISSN: | 2373-8057 |
Aparece en las colecciones: | (IBIS) Artículos |
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Fichero | Descripción | Tamaño | Formato | |
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IPDGC_GP2_Leonard.pdf | 2,21 MB | Adobe PDF | Visualizar/Abrir |
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