RNA-seq (by biosample) Tracks
 
RNA-seq (by biosample) tracks

Display mode:   

 All
RNA-seq (by biosample) adipose tissue  RNA-seq (by biosample) adipose tissue  
RNA-seq (by biosample) adrenal gland  RNA-seq (by biosample) adrenal gland  
RNA-seq (by biosample) brain  RNA-seq (by biosample) brain  
RNA-seq (by biosample) cerebellum  RNA-seq (by biosample) cerebellum  
RNA-seq (by biosample) CH12.LX  RNA-seq (by biosample) CH12.LX  
RNA-seq (by biosample) colon  RNA-seq (by biosample) colon  
RNA-seq (by biosample) common myeloid progenitor  RNA-seq (by biosample) common myeloid progenitor  
RNA-seq (by biosample) cortical plate  RNA-seq (by biosample) cortical plate  
RNA-seq (by biosample) duodenum  RNA-seq (by biosample) duodenum  
RNA-seq (by biosample) e11.5 day central nervous system  RNA-seq (by biosample) e11.5 day central nervous system  
RNA-seq (by biosample) e14 day central nervous system  RNA-seq (by biosample) e14 day central nervous system  
RNA-seq (by biosample) e14 day liver  RNA-seq (by biosample) e14 day liver  
RNA-seq (by biosample) e14.5 day brain  RNA-seq (by biosample) e14.5 day brain  
RNA-seq (by biosample) e14.5 day erythroblast  RNA-seq (by biosample) e14.5 day erythroblast  
RNA-seq (by biosample) e14.5 day limb  RNA-seq (by biosample) e14.5 day limb  
RNA-seq (by biosample) e14.5 day liver  RNA-seq (by biosample) e14.5 day liver  
RNA-seq (by biosample) e14.5 day megakaryocyte  RNA-seq (by biosample) e14.5 day megakaryocyte  
RNA-seq (by biosample) e18 day central nervous system  RNA-seq (by biosample) e18 day central nervous system  
RNA-seq (by biosample) e18 day liver  RNA-seq (by biosample) e18 day liver  
RNA-seq (by biosample) embryonic ES-E14  RNA-seq (by biosample) embryonic ES-E14  
RNA-seq (by biosample) erythroblast  RNA-seq (by biosample) erythroblast  
RNA-seq (by biosample) erythroid progenitor cell  RNA-seq (by biosample) erythroid progenitor cell  
RNA-seq (by biosample) forebrain  RNA-seq (by biosample) forebrain  
RNA-seq (by biosample) frontal cortex  RNA-seq (by biosample) frontal cortex  
RNA-seq (by biosample) G1E  RNA-seq (by biosample) G1E  
RNA-seq (by biosample) G1E-ER4  RNA-seq (by biosample) G1E-ER4  
RNA-seq (by biosample) gonadal fat pad  RNA-seq (by biosample) gonadal fat pad  
RNA-seq (by biosample) granulocyte monocyte progenitor cell  RNA-seq (by biosample) granulocyte monocyte progenitor cell  
RNA-seq (by biosample) heart  RNA-seq (by biosample) heart  
RNA-seq (by biosample) hematopoietic multipotent progenitor cell  RNA-seq (by biosample) hematopoietic multipotent progenitor cell  
RNA-seq (by biosample) hematopoietic stem cell  RNA-seq (by biosample) hematopoietic stem cell  
RNA-seq (by biosample) hindbrain  RNA-seq (by biosample) hindbrain  
RNA-seq (by biosample) kidney  RNA-seq (by biosample) kidney  
RNA-seq (by biosample) large intestine  RNA-seq (by biosample) large intestine  
RNA-seq (by biosample) leukemia stem cell  RNA-seq (by biosample) leukemia stem cell  
RNA-seq (by biosample) liver  RNA-seq (by biosample) liver  
RNA-seq (by biosample) lung  RNA-seq (by biosample) lung  
RNA-seq (by biosample) mammary gland  RNA-seq (by biosample) mammary gland  
RNA-seq (by biosample) megakaryocyte  RNA-seq (by biosample) megakaryocyte  
RNA-seq (by biosample) megakaryocyte progenitor cell  RNA-seq (by biosample) megakaryocyte progenitor cell  
RNA-seq (by biosample) megakaryocyte-erythroid progenitor cell  RNA-seq (by biosample) megakaryocyte-erythroid progenitor cell  
RNA-seq (by biosample) MEL cell line  RNA-seq (by biosample) MEL cell line  
RNA-seq (by biosample) midbrain  RNA-seq (by biosample) midbrain  
RNA-seq (by biosample) monocyte  RNA-seq (by biosample) monocyte  
RNA-seq (by biosample) neutrophil  RNA-seq (by biosample) neutrophil  
RNA-seq (by biosample) ovary  RNA-seq (by biosample) ovary  
RNA-seq (by biosample) pancreas  RNA-seq (by biosample) pancreas  
RNA-seq (by biosample) placenta  RNA-seq (by biosample) placenta  
RNA-seq (by biosample) sigmoid colon  RNA-seq (by biosample) sigmoid colon  
RNA-seq (by biosample) small intestine  RNA-seq (by biosample) small intestine  
RNA-seq (by biosample) spleen  RNA-seq (by biosample) spleen  
RNA-seq (by biosample) stomach  RNA-seq (by biosample) stomach  
RNA-seq (by biosample) subcutaneous adipose tissue  RNA-seq (by biosample) subcutaneous adipose tissue  
RNA-seq (by biosample) testis  RNA-seq (by biosample) testis  
RNA-seq (by biosample) thymus  RNA-seq (by biosample) thymus  
RNA-seq (by biosample) urinary bladder  RNA-seq (by biosample) urinary bladder  

RNA-seq supertrack

This supertrack contains all available ENCODE data produced by RNA-seq, which profiles RNA expression. All experiments at the ENCODE Portal which have been processed through the RNA-seq uniform processing pipelines  have data featured in this supertrack. Available data types for RNA-seq include plus-strand signal and minus-strand signal.

This supertrack is a component of the ENCODE RNA mega-trackhub, which also includes data from experiments produced using RAMPAGE, CAGE, and eCLIP-seq. You can visualize the results from those assays using their corresponding supertracks, or, if you are interested in viewing data from a particular tissue or biosample across multiple assays, you can use the Experiments by Tissue supertrack.

Acknowledgments

Thanks to the ENCODE Consortium, the ENCODE production laboratories, and the ENCODE Data Coordination Center for generating and processing the datasets used here. The ENCODE accession numbers of the constituent datasets are available from the peak details page. Henry Pratt, Jill Moore, Michael Purcaro, and Zhiping Weng, PI, at the ENCODE Data Analysis Center (ZLab at UMass Medical Center) developed this trackhub. Special thanks to Kate Rosenbloom and Jim Kent at UCSC for guidance developing this trackhub.

References

ENCODE Project Consortium, Jill E. Moore, Michael J. Purcaro, Henry E. Pratt, Charles B. Epstein, Noam Shoresh, Jessika Adrian, et al. 2020. "Expanded Encyclopaedias of DNA Elements in the Human and Mouse Genomes." Nature 583 (7818): 699–710.

Contact

Please contact henry.pratt@umassmed.edu with any questions or comments about this trackhub.