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Detecting Retroviruses in Genomic Sequences and Applying Signal Processing Techniques to Genomics : Literature Review Qualifying Paper
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ashlock, Wendy Datta, Suprakash |
| Copyright Year | 2010 |
| Abstract | Identifying retroviruses in genomic sequences is a biological problem that benefits from a computational approach. Retroviruses integrate their genetic material into the genome of their host. They impact the welfare of their host in many ways: they cause disease; they affect the expression of genes; they protect against infection by other viruses. In particular, endogenous retroviruses (ERVs), retroviruses that have permanently integrated into their host genomes and are inherited, have influenced the evolution of the structure of the genome and act as living fossils giving us information about the relationships between species. ERVs are difficult to identify because they have a high mutation rate and often are defective (partly or wholly non-functional). This paper reviews four computational methods developed to annotate ERVs in the human genome and discusses approaches used to detect the broader category of transposons in the genomes of other organisms. It also discusses three signal processing techniques which have been effective for solving other problems in genomics and which are potentially useful for addressing the problem of detecting retroviruses. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cse.yorku.ca/~washlock/survey.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
