All significant genes identified by sCCA+ACAT for 10 selected phenotypes.
收藏NIAID Data Ecosystem2026-03-12 收录
数据链接:
官方服务:
资源简介:
(XLSX)
应用场景:
创建时间:
2021-04-08
相关数据集
Table_1_Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort.xlsx
BackgroundVaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response
NIAID Data Ecosystem50
Table_5_Juvenile Huntington’s Disease and Other PolyQ Diseases, Update on Neurodevelopmental Character and Comparative Bioinformatic Review of Transcriptomic and Proteomic Data.XLSX
Polyglutamine (PolyQ) diseases are neurodegenerative disorders caused by the CAG repeat expansion mutation in affected genes resulting in toxic proteins containing a long chain of glutamines. There ar
NIAID Data Ecosystem30
Table2_Computational genomics insights into cold acclimation in wheat.XLSX
Development of cold acclimation in crops involves transcriptomic reprograming, metabolic shift, and physiological changes. Cold responses in transcriptome and lipid metabolism has been examined in sep
NIAID Data Ecosystem20
Top 20 hits ranked by Bonferroni corrected gene-phenoseq p-value computed on non-synonymous SNPs.
Top 20 hits ranked by Bonferroni corrected gene-phenoseq p-value computed on non-synonymous SNPs.
NIAID Data Ecosystem30
Integrating RNA-seq and assay for transposase-accessible chromatin by sequencing (ATAC-seq) predicts functionally-relevant chromatin regions
Gene regulation is critical for proper cellular function. Next-generation sequencing technology has revealed the presence of regulatory networks that regulate gene expression and essential cellular fu
NIAID Data Ecosystem20



