Cargando…
An expression-based variant impact phenotyping protocol to predict the impact of gene variants in cell lines
We describe a bioinformatics protocol for eVIP2 (expression-based variant impact phenotyping). eVIP2 can predict a gene variant’s functional impact by comparing gene expression signatures induced by introduction of wild-type versus mutant cDNAs in cell lines. The predicted functional outcomes of the...
Autores principales: | Thornton, Alexis M., Tumu, Manoj, Brooks, Angela N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449654/ https://www.ncbi.nlm.nih.gov/pubmed/36092819 http://dx.doi.org/10.1016/j.xpro.2022.101651 |
Ejemplares similares
-
eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants
por: Thornton, Alexis M., et al.
Publicado: (2021) -
Protocol for detecting introgressed archaic variants with SPrime
por: Zhou, Ying, et al.
Publicado: (2021) -
Cell Painting predicts impact of lung cancer variants
por: Caicedo, Juan C., et al.
Publicado: (2022) -
Psychosocial and behavioral impact of breast cancer risk assessed by testing for common risk variants: protocol of a prospective study
por: Yanes, Tatiane, et al.
Publicado: (2017) -
Protocol for Cloning Epithelial Stem Cell Variants from Human Lung
por: Rao, Wei, et al.
Publicado: (2020)