Cargando…
Solving the transcription start site identification problem with ADAPT-CAGE: a Machine Learning algorithm for the analysis of CAGE data
Cap Analysis of Gene Expression (CAGE) has emerged as a powerful experimental technique for assisting in the identification of transcription start sites (TSSs). There is strong evidence that CAGE also identifies capping sites along various other locations of transcribed loci such as splicing byprodu...
Autores principales: | Georgakilas, Georgios K., Perdikopanis, Nikos, Hatzigeorgiou, Artemis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972925/ https://www.ncbi.nlm.nih.gov/pubmed/31965016 http://dx.doi.org/10.1038/s41598-020-57811-3 |
Ejemplares similares
-
DeepTSS: multi-branch convolutional neural network for transcription start site identification from CAGE data
por: Grigoriadis, Dimitris, et al.
Publicado: (2022) -
DIANA-miRGen v4: indexing promoters and regulators for more than 1500 microRNAs
por: Perdikopanis, Nikos, et al.
Publicado: (2020) -
C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution
por: Kouno, Tsukasa, et al.
Publicado: (2019) -
NanoCAGE-XL and CapFilter: an approach to genome wide identification of high confidence transcription start sites
por: Cumbie, Jason S., et al.
Publicado: (2015) -
A cage cleaning method for researchers without a cage-washing machine or cage-washing staff
por: Sasaki, Ryo, et al.
Publicado: (2019)