multi-tumor sequencing from the same cancer patient. Homo sapiens
收藏NIAID Data Ecosystem2026-03-10 收录
官方服务:
资源简介:
sequencing data from multiple biopsies of the same patient
应用场景:
创建时间:
2017-03-21
相关数据集
Multi-omics data and stochastic simulations support a cancer heterogeneity framework unifying genetic, epigenetic, and stochastic variabilities [Bulk-WXS-seq] (human)
We subject multiple versions and single cell-derived sublines of an archetypal non-small cell lung cancer cell line to experimental scrutiny at the genomic, transcriptomic, and cell population levels.
NIAID Data Ecosystem20
Multi Lineage Heterogeneity and Plasticity in Urothelial Carcinoma of the Bladder. Multi Lineage Heterogeneity and Plasticity in Urothelial Carcinoma of the Bladder
Single cell transcriptome analyses of mouse and human model systems of bladder cancer Overall design: OHBBN-induced mouse bladder tumors were dissociated to the single cell level and separated into to
NIAID Data Ecosystem20
Multiplatform molecular profiling reveals epigenomic intratumor heterogeneity in ependymoma, Whole Exome and RNA-seq
Ependymomas exist within distinct genetic subgroups, but the molecular diversity within individual ependymomas is unknown. We performed multiplatform molecular profiling of 6 spatially-distinct sample
NIAID Data Ecosystem10
Sequencing analysis of proliferative heterogeneity in squamous cell carcinomas. Mus musculus
ChIP-seq, ATAC-seq and RNA-seq analyses were integrated to define direct, transcriptional Tgfβ targets in quiescent tumor propogating cells Overall design: Differential gene expression analyses were p
NIAID Data Ecosystem20
ena-DATASET-DKFZ-06-01-2017-08:08:34:376-15 - samples
The dataset consists of two main sample groups. 1) The inter-tumour sample group contains a total of 97 samples from 27 patients. Each patient has a single normal and primary sample as well as one or
NIAID Data Ecosystem10



