Cargando…
Evaluation of de novo transcriptome assemblies from RNA-Seq data
De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. To address this challenge, we developed a model-based score, RSEM-EVAL, for evaluating assemblies when the ground truth...
Autores principales: | Li, Bo, Fillmore, Nathanael, Bai, Yongsheng, Collins, Mike, Thomson, James A, Stewart, Ron, Dewey, Colin N |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298084/ https://www.ncbi.nlm.nih.gov/pubmed/25608678 http://dx.doi.org/10.1186/s13059-014-0553-5 |
Ejemplares similares
-
Bridger: a new framework for de novo transcriptome assembly using RNA-seq data
por: Chang, Zheng, et al.
Publicado: (2015) -
Integrative analysis with ChIP-seq advances the limits of transcript quantification from RNA-seq
por: Liu, Peng, et al.
Publicado: (2016) -
Transcriptome assembly from long-read RNA-seq alignments with StringTie2
por: Kovaka, Sam, et al.
Publicado: (2019) -
De novo assembly of bacterial transcriptomes from RNA-seq data
por: Tjaden, Brian
Publicado: (2015) -
A statistical approach for identifying differential distributions in single-cell RNA-seq experiments
por: Korthauer, Keegan D., et al.
Publicado: (2016)