
Abstract Motivation: Computer-assisted studies of structure, function and evolution of viruses remains a neglected area of research. The attention of bioinformaticians to this interesting and challenging field is far from commensurate with its medical and biotechnological importance. It is telling that out of >200 talks held at ISMB 2013, the largest international bioinformatics conference, only one presentation explicitly dealt with viruses. In contrast to many broad, established and well-organized bioinformatics communities (e.g. structural genomics, ontologies, next-generation sequencing, expression analysis), research groups focusing on viruses can probably be counted on the fingers of two hands. Results: The purpose of this review is to increase awareness among bioinformatics researchers about the pressing needs and unsolved problems of computational virology. We focus primarily on RNA viruses that pose problems to many standard bioinformatics analyses owing to their compact genome organization, fast mutation rate and low evolutionary conservation. We provide an overview of tools and algorithms for handling viral sequencing data, detecting functionally important RNA structures, classifying viral proteins into families and investigating the origin and evolution of viruses. Contact: manja@uni-jena.de Supplementary information: Supplementary data are available at Bioinformatics online. The references for this article can be found in the Supplementary Material.
1303 Biochemistry, Computational Biology, High-Throughput Nucleotide Sequencing, 142-005 142-005, Evolution, Molecular, 106005 Bioinformatik, 1312 Molecular Biology, 1706 Computer Science Applications, Animals, Humans, RNA Viruses, RNA, Viral, 2613 Statistics and Probability, 106005 Bioinformatics, 2605 Computational Mathematics, Phylogeny, 1703 Computational Theory and Mathematics
1303 Biochemistry, Computational Biology, High-Throughput Nucleotide Sequencing, 142-005 142-005, Evolution, Molecular, 106005 Bioinformatik, 1312 Molecular Biology, 1706 Computer Science Applications, Animals, Humans, RNA Viruses, RNA, Viral, 2613 Statistics and Probability, 106005 Bioinformatics, 2605 Computational Mathematics, Phylogeny, 1703 Computational Theory and Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 50 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
