دورية أكاديمية
Phenonaut: multiomics data integration for phenotypic space exploration
| العنوان: | Phenonaut: multiomics data integration for phenotypic space exploration |
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| المؤلفون: | Shave, Steven, Dawson, John C, Athar, Abdullah M, Nguyen, Cuong Q, Kasprowicz, Richard, Carragher, Neil O |
| المساهمون: | Kelso, Janet, Medical Research Council research |
| المصدر: | Bioinformatics ; volume 39, issue 4 ; ISSN 1367-4811 |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability |
| الوصف: | Summary Data integration workflows for multiomics data take many forms across academia and industry. Efforts with limited resources often encountered in academia can easily fall short of data integration best practices for processing and combining high-content imaging, proteomics, metabolomics, and other omics data. We present Phenonaut, a Python software package designed to address the data workflow needs of migration, control, integration, and auditability in the application of literature and proprietary techniques for data source and structure agnostic workflow creation. Availability and implementation Source code: https://github.com/CarragherLab/phenonautTest, Documentation: https://carragherlab.github.io/phenonautTest, PyPI package: https://pypi.org/project/phenonautTest/. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/bioinformatics/btad143 |
| DOI: | 10.1093/bioinformatics/btad143/49588175/btad143.pdf |
| الإتاحة: | https://doi.org/10.1093/bioinformatics/btad143Test https://academic.oup.com/bioinformatics/article-pdf/39/4/btad143/49854553/btad143.pdfTest |
| حقوق: | https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: | edsbas.D0E5437B |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/bioinformatics/btad143 |
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