期刊
NUCLEIC ACIDS RESEARCH
卷 50, 期 W1, 页码 W345-W351出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac247
关键词
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资金
- NIH [2U24HG006620, 3R01AI134384, 5U24HG010263, 5U24CA231877]
- NSF [1445604, 1840003]
- ChanZuckerberg Initiative for Essential Open-Source Software for Science Program
- ELIXIR Implementation Studies
- NIH
- Direct For Computer & Info Scie & Enginr
- Office of Advanced Cyberinfrastructure (OAC) [1840003] Funding Source: National Science Foundation
Galaxy is a mature and browser accessible workbench for scientific computing, allowing scientists to easily share, analyze, and visualize their data. It has a strong global community and support from national infrastructure providers. Key technical developments of Galaxy include improved user interface, interactive tools for data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.
Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues to use, maintain and contribute to the project, with support from multiple national infrastructure providers that enable freely accessible analysis and training services. The Galaxy Training Network supports free, self-directed, virtual training with >230 integrated tutorials. Project engagement metrics have continued to grow over the last 2 years, including source code contributions, publications, software packages wrapped as tools, registered users and their daily analysis jobs, and new independent specialized servers. Key Galaxy technical developments include an improved user interface for launching large-scale analyses with many files, interactive tools for exploratory data analysis, and a complete suite of machine learning tools. Important scientific developments enabled by Galaxy include Vertebrate Genome Project (VGP) assembly workflows and global SARS-CoV-2 collaborations.
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