Cargando…
A computational approach to generate highly conserved gene co-expression networks with RNA-seq data
We describe a consensus approach for network construction based on fully conserved gene-gene interactions from randomly downsampled data subsets for an unbiased differential analysis of gene co-expression networks. The pipeline allows users to identify network nodes lost, conserved, and acquired in...
Autores principales: | Arshad, Zainab, McDonald, John F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168722/ https://www.ncbi.nlm.nih.gov/pubmed/35677606 http://dx.doi.org/10.1016/j.xpro.2022.101432 |
Ejemplares similares
-
Protocol for integrated analysis of bacterial RNA-seq and ChIP-seq data for establishing a co-expression network
por: Ding, Yiqing, et al.
Publicado: (2023) -
Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
por: Abugessaisa, Imad, et al.
Publicado: (2023) -
Construction of transcriptional regulatory networks using total RNA-seq data
por: Chouvarine, Philippe, et al.
Publicado: (2021) -
A computational approach for identification of core modules from a co-expression network and GWAS data
por: Sabik, Olivia L., et al.
Publicado: (2021) -
deltaTE: Detection of Translationally Regulated Genes by Integrative Analysis of Ribo‐seq and RNA‐seq Data
por: Chothani, Sonia, et al.
Publicado: (2019)