Exon-level estimates improve the detection of differentially expressed genes in RNA-seq studies

Detection of differentially expressed genes (DEGs) between different biological conditions is a key data analysis step of most RNA-sequencing studies. Conventionally, computational tools have used gene-level read counts as input to test for differential gene expression between sample condition group...

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Detalles Bibliográficos
Autores principales: Mehmood, Arfa, Laiho, Asta, Elo, Laura L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582999/
https://www.ncbi.nlm.nih.gov/pubmed/33522408
http://dx.doi.org/10.1080/15476286.2020.1868151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582999/
https://www.ncbi.nlm.nih.gov/pubmed/33522408
http://dx.doi.org/10.1080/15476286.2020.1868151

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