GenoCraft: A Comprehensive, User-Friendly Web-Based Platform for
  High-Throughput Omics Data Analysis and Visualization
Yingzhou Lu Minjie Shen Yue Zhao Chenhao Li Fan Meng Xiao Wang David Herrington Yue Wang Tim Fu Capucine Van Rechem
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.