ArticleBMC bioinformatics2009
The Genome Reverse Compiler: an explorative annotation tool.
Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- CNN-MGP: Convolutional Neural Networks for Metagenomics Gene Prediction.Interdisciplinary sciences, computational life sciences · 2019Article
- Feature selection for gene prediction in metagenomic fragments.BioData mining · 2018Article
- Patterns and processes of Mycobacterium bovis evolution revealed by phylogenomic analyses.Genome biology and evolution · 2017Article
- Draft Genome Sequence of FT9, a Novel Bacillus cereus Strain Isolated from a Brazilian Thermal Spring.Genome announcements · 2014Article
- Complete sequencing of Novosphingobium sp. PP1Y reveals a biotechnologically meaningful metabolic pattern.BMC genomics · 2014Article
- Complete genome sequence of Mycobacterium massiliense.Journal of bacteriology · 2012Article
- The plant pathogen Pseudomonas syringae pv. tomato is genetically monomorphic and under strong selection to evade tomato immunity.PLoS pathogens · 2011Article
- Article
- Novel insights into the genomic basis of citrus canker based on the genome sequences of two strains of Xanthomonas fuscans subsp. aurantifolii.BMC genomics · 2010Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs sequencing costs have decreased, whole genome sequencing has become a viable and integral part of biological laboratory research. However, the tools with which genes can be found and functionally characterized have not been readily adapted to be part of the everyday biological sciences toolkit. Most annotation pipelines remain as a service provided by large institutions or come as an unwieldy conglomerate of independent components, each requiring their own setup and maintenance.
resultsTo address this issue we have created the Genome Reverse Compiler, an easy-to-use, open-source, automated annotation tool. The GRC is independent of third party software installs and only requires a Linux operating system. This stands in contrast to most annotation packages, which typically require installation of relational databases, sequence similarity software, and a number of other programming language modules. We provide details on the methodology used by GRC and evaluate its performance on several groups of prokaryotes using GRC's built in comparison module.
conclusionTraditionally, to perform whole genome annotation a user would either set up a pipeline or take advantage of an online service. With GRC the user need only provide the genome he or she wants to annotate and the function resource files to use. The result is high usability and a very minimal learning curve for the intended audience of life science researchers and bioinformaticians. We believe that the GRC fills a valuable niche in allowing users to perform explorative, whole-genome annotation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.