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Additional file 22 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

NIAID Data Ecosystem2026-03-12 收录

多组学整合分析

代谢物与疾病关联

数据链接：

https://figshare.com/articles/dataset/Additional_file_22_of_Integration_of_metabolomics_genomics_and_immune_phenotypes_reveals_the_causal_roles_of_metabolites_in_disease/14921218 数据链接链接失效反馈

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Additional file 22. Table S21

应用场景：

创建时间：

2021-07-06

植物萜类生物合成调控

多组学整合分析

Chinese cedar (Cryptomeria fortunei) is a tree species with important ornamental, medicinal, and economic value. Terpenoids extracted from the essential oil of C. fortunei needles have been considered

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Integrated metagenomics, metaviromics, and metatranscriptomics reveal colonic virome-bacteriome interactions

肠道免疫-微生物组互作

多组学整合分析

The human gut virome has been increasingly explored in recent years, revealing the presence of individualized, temporally stable viral communities. However, nearly all virome sequencing efforts rely s

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An integrated global analysis of compartmentalized HRAS signaling - Ras IP

HRAS突变研究

多组学整合分析

Modern omics technologies allow us obtaining global information on different types of biological networks. However, integrating these different types of analyzes into a coherent framework for a compre

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Table4_Multi-Omics Analysis Based on Genomic Instability for Prognostic Prediction in Lower-Grade Glioma.XLS

神经肿瘤预后

多组学整合分析

Background: Lower-grade gliomas (LGGs) are a heterogeneous set of gliomas. One of the primary sources of glioma heterogeneity is genomic instability, a novel characteristic of cancer. It has been repo

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Table_4_Multiple Processes May Involve in the IgG4-RD Pathogenesis: An Integrative Study via Proteomic and Transcriptomic Analysis.XLSX

免疫球蛋白G4

多组学整合分析

Immunoglobulin G4-related disease (IgG4-RD) is a newly defined disease entity, while the exact pathogenesis is still not clear. Identifying the characters of IgG4-RD in proteomic and transcriptomic as

NIAID Data Ecosystem10

Additional file 22 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

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