Work

Processed data from "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits"

Year: 2021

Type: dataset

Abstract: Sequencing read locations (starched bed format) from our manuscript "Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits".

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.4567422

Authors: Orchard, Peter, Manickam, Nandini, Ventresca, Christa, Vadlamudi, Swarooparani, Varshney, Arushi, Rai, Vivek, Kaplan, Jeremy, Lalancette, Claudia, Mohlke, Karen L., Gallagher, Katherine, Burant, Charles F., Parker, Stephen C.J.

Institutions: University of Michigan, University of North Carolina at Chapel Hill

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W4393621736

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