BASys: a web server for automated bacterial genome annotation
By Gary H. Van Domselaar, Paul Stothard, Savita Shrivastava, Joseph A. Cruz, Anchi Guo, Xiaoli Dong, Paul Lu, Duane Szafron, R. Greiner, David S. Wishart. Nucleic Acids Res., 2005
324 citations recorded by the source corpus.
BASys (Bacterial Annotation System) is a web server that supports automated, in-depth annotation of bacterial genomic (chromosomal and plasmid) sequences. It accepts raw DNA sequence data and an optional list of gene identification information and provides extensive textual annotation and hyperlinked image output. BASys uses >30 programs to determine ∼60 annotation subfields for each gene, including gene/protein name, GO function, COG function, possible paralogues and orthologues, molecular weight, isoelectric point, operon structure, subcellular localization, signal peptides, transmembrane regions, secondary structure, 3D structure, reactions and pathways. The depth and detail of a BASys annotation matches or exceeds that found in a standard SwissProt entry. BASys also generates colorful, clickable and fully zoomable maps of each query chromosome to permit rapid navigation and detailed visual analysis of all resulting gene annotations. The textual annotations and images that are provided by BASys can be generated in ∼24 h for an average bacterial chromosome (5 Mb). BASys annotations may be viewed and downloaded anonymously or through a password protected access system. The BASys server and databases can also be downloaded and run locally. BASys is accessible at .
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c919cb46e5d6e7a952a0befb226d1c9eb5502717
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In Genetics
In Molecular Biology
- David S. Wishart
- Craig Knox
- Savita Shrivastava
- Paul Stothard
- Jianguo Xia
- Jasmine Chong
- Mehmet Gönen
- Beomsoo Han
Citations in the corpus
- Biospider: A Web Server for Automating Metabolome Annotations (2006, methodology): “It is essentially a hybrid of a web-based genome annotation tool, such as BASYS [3] and a text mining system such as MedMiner [4].”