{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Daniel Villeneuve", "hasEmail": "mailto:villeneuve.dan@epa.gov"}, "description": "Supplementary data for \"Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics\". \n\nThis dataset is associated with the following publication:\nVilleneuve, D., M. Nash, A. Biales, K. Bush, G. Evensen, L. Everett, J. Haselman, M. Hazemi, M. Le, H. Poynton, B. Seligmann   , L. Wehmas, J. Yeakley, and K. Flynn. Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 162: 105898, (2025).", "distribution": [{"accessURL": "https://clowder.edap-cluster.com/datasets/6840b9e5e4b096bca883eb50", "title": "https://clowder.edap-cluster.com/datasets/6840b9e5e4b096bca883eb50"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t4c4/1-s2.0-S027323002500128X-mmc1.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "1-s2.0-S027323002500128X-mmc1.xlsx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t4c4/1-s2.0-S027323002500128X-mmc2.docx", "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "title": "1-s2.0-S027323002500128X-mmc2.docx"}], "identifier": "https://doi.org/10.23719/d-t4c4", "keyword": ["New Approach Methods", "computational toxicology", "ecotoxicology", "federal prize competition", "high-throughput transcriptomics"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2025-06-27", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.yrtph.2025.105898"], "rights": null, "title": "Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics"}