Cargando…
Computational approaches to understand transcription regulation in development
Gene regulatory networks (GRNs) serve as useful abstractions to understand transcriptional dynamics in developmental systems. Computational prediction of GRNs has been successfully applied to genome-wide gene expression measurements with the advent of microarrays and RNA-sequencing. However, these i...
Autores principales: | van der Sande, Maarten, Frölich, Siebren, van Heeringen, Simon J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988001/ https://www.ncbi.nlm.nih.gov/pubmed/36695505 http://dx.doi.org/10.1042/BST20210145 |
Ejemplares similares
-
ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination
por: Xu, Quan, et al.
Publicado: (2021) -
genomepy: genes and genomes at your fingertips
por: Frölich, Siebren, et al.
Publicado: (2023) -
Combinatorial transcription factor activities on open chromatin induce embryonic heterogeneity in vertebrates
por: Bright, Ann Rose, et al.
Publicado: (2021) -
Seq2science: an end-to-end workflow for functional genomics analysis
por: van der Sande, Maarten, et al.
Publicado: (2023) -
Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework
por: Heuts, B. M. H., et al.
Publicado: (2022)