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arXiv · 2312.14249

GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization

Yingzhou Lu·Minjie Shen·Ling Yue·Chenhao Li·Lulu Chen·Fan Meng·Xiao Wang·David Herrington·Yue Wang·Yue Zhao·Tianfan Fu·Capucine Van Rechem
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Abstract

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.

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Yingzhou Lu, Minjie Shen, Ling Yue, Chenhao Li, Lulu Chen, Fan Meng, Xiao Wang, David Herrington, Yue Wang, Yue Zhao, Tianfan Fu, Capucine Van Rechem. 2023-12-21. GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for High-Throughput Omics Data Analysis and Visualization. https://arxiv.org/abs/2312.14249

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