GenePRIMP: a gene prediction improvement pipeline for prokaryotic genomes
By Amrita Pati, Natalia N. Ivanova, Natalia Mikhailova, Galina Ovchinnikova, Sean D. Hooper, A. Lykidis, Nikos Kyrpides. Nature Methods, 2010
520 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/ceed362cfff5edb8b832ae27c2e14402eff6e88f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Nikos Kyrpides
- I-Min A. Chen
- Natalia N. Ivanova
- Krishna Palaniappan
- Victor M. Markowitz
- Marcel Huntemann
- Ken Chu
- Anna Ratner
Citations in the corpus
- Genome Majority Vote Improves Gene Predictions (2011, unknown): “RAST and GenePRIMP both exploit archived material, in which the extent of errors is unknown.”
- Ortholog identification in the presence of domain architecture rearrangement (2011, background): “Gene model errors are quite common in eukaryote genomes due to the presence of introns in many genes, but are also found in bacterial genomes ( 10% of bacterial genes and a higher fraction of eukaryotic genes have gene model errors) [67].”
- IMG: the integrated microbial genomes database and comparative analysis system (2011, methodology): “This project relies on a gene quality assessment pipeline, GenePRIMP (34) that allows performing automated correction of gene models including insertion of missed genes, extension of ‘short’ genes and identification of putative pseudogenes.”