GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866916480956760064 |
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| author | Lu, Yingzhou Shen, Minjie Yue, Ling Li, Chenhao Chen, Lulu Meng, Fan Wang, Xiao Herrington, David Wang, Yue Zhao, Yue Fu, Tianfan Van Rechem, Capucine |
| author_facet | Lu, Yingzhou Shen, Minjie Yue, Ling Li, Chenhao Chen, Lulu Meng, Fan Wang, Xiao Herrington, David Wang, Yue Zhao, Yue Fu, Tianfan Van Rechem, Capucine |
| contents | The surge in high-throughput omics data has reshaped the landscape of biological research, underlining the need for powerful, user-friendly data analysis and interpretation tools. This paper presents GenoCraft, a web-based comprehensive software solution designed to handle the entire pipeline of omics data processing. GenoCraft offers a unified platform featuring advanced bioinformatics tools, covering all aspects of omics data analysis. It encompasses a range of functionalities, such as normalization, quality control, differential analysis, network analysis, pathway analysis, and diverse visualization techniques. This software makes state-of-the-art omics data analysis more accessible to a wider range of users. With GenoCraft, researchers and data scientists have access to an array of cutting-edge bioinformatics tools under a user-friendly interface, making it a valuable resource for managing and analyzing large-scale omics data. The API with an interactive web interface is publicly available at https://genocraft.stanford. edu/. We also release all the codes in https://github.com/futianfan/GenoCraft. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_14249 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization Lu, Yingzhou Shen, Minjie Yue, Ling Li, Chenhao Chen, Lulu Meng, Fan Wang, Xiao Herrington, David Wang, Yue Zhao, Yue Fu, Tianfan Van Rechem, Capucine Genomics Machine Learning The surge in high-throughput omics data has reshaped the landscape of biological research, underlining the need for powerful, user-friendly data analysis and interpretation tools. This paper presents GenoCraft, a web-based comprehensive software solution designed to handle the entire pipeline of omics data processing. GenoCraft offers a unified platform featuring advanced bioinformatics tools, covering all aspects of omics data analysis. It encompasses a range of functionalities, such as normalization, quality control, differential analysis, network analysis, pathway analysis, and diverse visualization techniques. This software makes state-of-the-art omics data analysis more accessible to a wider range of users. With GenoCraft, researchers and data scientists have access to an array of cutting-edge bioinformatics tools under a user-friendly interface, making it a valuable resource for managing and analyzing large-scale omics data. The API with an interactive web interface is publicly available at https://genocraft.stanford. edu/. We also release all the codes in https://github.com/futianfan/GenoCraft. |
| title | GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization |
| topic | Genomics Machine Learning |
| url | https://arxiv.org/abs/2312.14249 |