Although, direct benchmarking was not possible because RATT presents a new strategy, we ran Glimmer3—a popular ab initio gene predictor—on the tuberculosis dataset as a comparator. Particular attention was given to the number of CDSs transferred or predicted, and whether their boundaries coincided with curated models. After running RATT on each of the three datasets, the transferred annotations were manually checked in Artemis and ACT.
Evaluating RATT genome annotation transfer
Although, direct benchmarking was not possible because RATT presents a new strategy, we ran Glimmer3—a popular ab initio gene predictor—on the tuberculosis dataset as a comparator. Particular attention was given to the number of CDSs transferred or predicted, and whether their boundaries coincided with curated models. After running RATT on each of the three datasets, the transferred annotations were manually checked in Artemis and ACT.
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Corresponding Organization :
Other organizations : Wellcome Sanger Institute
Protocol cited in 40 other protocols
Variable analysis
- Using 'Strain' comparison option to annotate the genome of strain F11 based on the M. tuberculosis strain H37Rv
- Using 'Species' comparison option to map the annotation of P. chabaudi to the P. berghei version 9 genome
- Performance of RATT
- Number of CDSs transferred or predicted, and whether their boundaries coincided with curated models
- Existing annotation of F11 (NCBI:CP000717) used for comparison
- Manually annotated genomes used to assess RATT performance
- Running Glimmer3 on the tuberculosis dataset as a comparator
- None specified
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