XGR software for enhanced interpretation of genomic summary data, illustrated by application to immunological traits

BACKGROUND: Biological interpretation of genomic summary data such as those resulting from genome-wide association studies (GWAS) and expression quantitative trait loci (eQTL) studies is one of the major bottlenecks in medical genomics research, calling for efficient and integrative tools to resolve...

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Detalles Bibliográficos
Autores principales: Fang, Hai, Knezevic, Bogdan, Burnham, Katie L., Knight, Julian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154134/
https://www.ncbi.nlm.nih.gov/pubmed/27964755
http://dx.doi.org/10.1186/s13073-016-0384-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5154134/
https://www.ncbi.nlm.nih.gov/pubmed/27964755
http://dx.doi.org/10.1186/s13073-016-0384-y

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