Cargando…
PRAM: a novel pooling approach for discovering intergenic transcripts from large-scale RNA sequencing experiments
Publicly available RNA-seq data is routinely used for retrospective analysis to elucidate new biology. Novel transcript discovery enabled by joint analysis of large collections of RNA-seq data sets has emerged as one such analysis. Current methods for transcript discovery rely on a ‘2-Step’ approach...
Autores principales: | Liu, Peng, Soukup, Alexandra A., Bresnick, Emery H., Dewey, Colin N., Keleş, Sündüz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605252/ https://www.ncbi.nlm.nih.gov/pubmed/32958497 http://dx.doi.org/10.1101/gr.252445.119 |
Ejemplares similares
-
Integrative analysis with ChIP-seq advances the limits of transcript quantification from RNA-seq
por: Liu, Peng, et al.
Publicado: (2016) -
Discovering Transcription Factor Binding Sites in Highly Repetitive Regions of Genomes with Multi-Read Analysis of ChIP-Seq Data
por: Chung, Dongjun, et al.
Publicado: (2011) -
jMOSAiCS: joint analysis of multiple ChIP-seq datasets
por: Zeng, Xin, et al.
Publicado: (2013) -
Debiased personalized gene coexpression networks for population-scale scRNA-seq data
por: Lu, Shan, et al.
Publicado: (2023) -
MLG: multilayer graph clustering for multi-condition scRNA-seq data
por: Lu, Shan, et al.
Publicado: (2021)