4.7 Article

PyIOmica: longitudinal omics analysis and trend identification

期刊

BIOINFORMATICS
卷 36, 期 7, 页码 2306-2307

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btz896

关键词

-

资金

  1. Translational Research Institute for Space Health through National Aeronautics and Space Administration (NASA) [NNX16AO69A]

向作者/读者索取更多资源

The Summary: PyIOmica is an open-source Python package focusing on integrating longitudinal multiple omics datasets, characterizing and categorizing temporal trends. The package includes multiple bioinformatics tools including data normalization, annotation, categorization, visualization and enrichment analysis for gene ontology terms and pathways. Additionally, the package includes an implementation of visibility graphs to visualize time series as networks.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据