Trinotate
Trinotate performs automatic functional annotation of transcriptomes to assign coding regions, identify gene orthologs, and support interpretation of de novo assembled RNA-sequencing data.
Key Features:
- Automatic Functional Annotation: Automates assignment of functional information to transcripts from assembled transcriptomes.
- De Novo Transcriptome Compatibility: Supports annotation of de novo assembled transcriptomes derived from RNA-sequencing of multiple tissues.
- Broad Organism Applicability: Applies to both model and non-model organisms lacking reference genomes.
- Coding Region Prediction: Predicts putative coding regions within transcript sequences.
- Gene Ortholog Identification: Identifies gene orthologs to facilitate comparative and functional inference.
- Expression Analysis: Enables analysis of gene expression levels across tissues or experimental conditions.
Scientific Applications:
- Regenerative Biology (axolotl limb regeneration): Used to assemble and annotate a de novo axolotl transcriptome from RNA-sequencing, achieving near-complete sequence information for 88% of genes and enabling identification of orthologs such as cirbp (cytoprotective) and kazald1 (manipulation disrupted regeneration).
Methodology:
De novo transcriptome assembly from RNA-sequencing across multiple tissues; assignment of functional annotations including prediction of coding regions and identification of gene orthologs; analysis of gene expression levels across tissues or conditions.
Topics
Details
- Tool Type:
- desktop application, workflow
- Added:
- 11/29/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Bryant DM, Johnson K, DiTommaso T, Tickle T, Couger MB, Payzin-Dogru D, Lee TJ, Leigh ND, Kuo T, Davis FG, Bateman J, Bryant S, Guzikowski AR, Tsai SL, Coyne S, Ye WW, Freeman RM, Peshkin L, Tabin CJ, Regev A, Haas BJ, Whited JL. A Tissue-Mapped Axolotl De Novo Transcriptome Enables Identification of Limb Regeneration Factors. Cell Reports. 2017;18(3):762-776. doi:10.1016/j.celrep.2016.12.063. PMID:28099853. PMCID:PMC5419050.