Transcriptomics for clinical and experimental biology research: hang on a seq
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/7430955
下载链接
链接失效反馈官方服务：
资源简介：
Additional R script, source data files and figures associated with the paper.
The following source files can generate the corresponding figures using the R script (Omics_review_HC_final.R).
Figure 1: Fig1_upset_new_V2_general.type.csv
Figure 2 & 3: SMP_ENSG_biotypes_average_data_All_genes_V2.xlsx; FUSION_study_CPM-data_fusion_annotated.xlsx
Extra Figures (RNA_review_figures_brain_HC.pdf) uploaded here : GSE47774_SEQC_ILM_BGI_Human_Brain_Only.xlsx; GSE47774_SEQC_ILM_BGI_Human_Brain_Only.xlsx
Additional raw counts source files:
RNA-seq.A: summary data is available at https://www.ebi.ac.uk/birney-srv/FUSION/. Full dataset is available at dbGaP accession phs001048.v2.p1.
RNA-seq.B: GSE164471_GESTALT_Muscle_ENSG_counts_annotated.csv
RNA-seq.C: GSE97084_Robinson_GeneCount_raw.tsv; GSE97084_Robinson_GeneCount_raw_2.tsv
RNA-seq.D: GSE157585_Kulkarni_Peck_et_al_MASTERS_raw_counts.txt
RNA-seq.E: GSE151066_Rubenstein_rsem_genes_count.csv
HTA2.0 array: SMP191_iron_output_M_GC-HTA_ENST_Grch38_25.500.25.10_log2_2_minimum.csv; ENSG_biotypes_RNA_review_SMP_data
Figure 5 & 6 are generated from various source files above following the R script.
创建时间：
2024-07-15
