Analytical code sharing practices in biomedical research

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, affects transparency and reproducibility of studie...

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Detalles Bibliográficos
Autores principales: Sharma, Nitesh Kumar, Ayyala, Ram, Deshpande, Dhrithi, Patel, Yesha M, Munteanu, Viorel, Ciorba, Dumitru, Fiscutean, Andrada, Vahed, Mohammad, Sarkar, Aditya, Guo, Ruiwei, Moore, Andrew, Darci-Maher, Nicholas, Nogoy, Nicole A, Abedalthagafi, Malak S., Mangul, Serghei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441317/
https://www.ncbi.nlm.nih.gov/pubmed/37609176
http://dx.doi.org/10.1101/2023.07.31.551384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441317/
https://www.ncbi.nlm.nih.gov/pubmed/37609176
http://dx.doi.org/10.1101/2023.07.31.551384

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