Cargando…
Author Correction: Genome-wide human brain eQTLs: In-depth analysis and insights using the UKBEC dataset
Autores principales: | Sng, Letitia M. F., Thomson, Peter C., Trabzuni, Daniah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527956/ https://www.ncbi.nlm.nih.gov/pubmed/32999326 http://dx.doi.org/10.1038/s41598-020-73067-3 |
Ejemplares similares
-
Genome-wide human brain eQTLs: In-depth analysis and insights using the UKBEC dataset
por: Sng, Letitia M. F., et al.
Publicado: (2019) -
Comparison Between Expression Microarrays and RNA-Sequencing Using UKBEC Dataset Identified a trans-eQTL Associated with MPZ Gene in Substantia Nigra
por: Sng, Letitia M.F., et al.
Publicado: (2020) -
Correction: Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs
Publicado: (2014) -
eQTL Catalogue 2023: New datasets, X chromosome QTLs, and improved detection and visualisation of transcript-level QTLs
por: Kerimov, Nurlan, et al.
Publicado: (2023) -
Correction: Lung eQTLs to Help Reveal the Molecular Underpinnings of Asthma
por: Hao, Ke, et al.
Publicado: (2012)