Gene Expression Nebulas (GEN) is a data portal of gene expression profiles under various conditions derived entirely from bulk and single-cell RNA-Seq data analysis in multiple species.
The latest RNA-seq research data on COVID-19.
PRJCA002326: Transcriptome of patients infected with SARS-CoV-2
PRJNA615032: Transcriptional response to SARS-CoV-2 infection
PRJNA631753: Spectrum of Viral Load and Host Response Seen in Autopsies of SARS-CoV-2 Infected Lungs
PRJNA608742: Single-cell landscape of bronchoalveolar immune cells in COVID-19 patients
The latest RNA-seq research data of human lung cancer.
PRJNA431798: RNA Sequencing analysis of different genetically characterized lung cancer cell lines
PRJNA285793: Single-cell RNA sequencing of lung adenocarcinoma patient-derived cells
PRJNA401995: Identification of relationships between Molecular and Imaging Phenotypes in Non-small cell lung cancer using radiogenomics Map
PRJNA575243: Single-cell analyses reveal increasing intratumoral heterogeneity as an essential component of treatment resistance in small cell lung cancer [RNA-Seq]
The latest RNA-seq research data of human breast cancer.
PRJNA327871: Transcriptome profiling of ER+ breast cancer primary tumor and its tumorsphere derivative
PRJNA305054: Single cell RNA sequencing of primary breast cancer.
PRJNA415913: Transcriptomic data of MDA-MB-231 cells adapted to culture in media containing different sugars (glucose or fructose) and cultured as mammospheres
PRJNA471582: Genetic and transcriptional variation alters cancer cell line drug response [MCF7 strain AA]