Cargando…
Improvements to the Rice Genome Annotation Through Large-Scale Analysis of RNA-Seq and Proteomics Data Sets
Rice (Oryza sativa) is one of the most important worldwide crops. The genome has been available for over 10 years and has undergone several rounds of annotation. We created a comprehensive database of transcripts from 29 public RNA sequencing data sets, officially predicted genes from Ensembl plants...
Autores principales: | Ren, Zhe, Qi, Da, Pugh, Nina, Li, Kai, Wen, Bo, Zhou, Ruo, Xu, Shaohang, Liu, Siqi, Jones, Andrew R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317475/ https://www.ncbi.nlm.nih.gov/pubmed/30293062 http://dx.doi.org/10.1074/mcp.RA118.000832 |
Ejemplares similares
-
TranSeqAnnotator: large-scale analysis of transcriptomic data
por: Menon, Ranjeeta, et al.
Publicado: (2012) -
PGA: an R/Bioconductor package for identification of novel peptides using a customized database derived from RNA-Seq
por: Wen, Bo, et al.
Publicado: (2016) -
A comprehensive rat transcriptome built from large scale RNA-seq-based annotation
por: Ji, Xiangjun, et al.
Publicado: (2020) -
Predicted structural proteome of Sphagnum divinum and proteome-scale annotation
por: Davidson, Russell B, et al.
Publicado: (2023) -
Significance estimation for large scale metabolomics annotations by spectral matching
por: Scheubert, Kerstin, et al.
Publicado: (2017)