Abstract—Retroviruses are viruses which have special ability to retro transcript their genetic data. HIV (Human Immunodeficiency Virus) which has been the cause for AIDS (Acquired Immunodeficiency Syndrome) in human is a kind of retroviruses. SIV (Simian Immunodeficiency Virus) and artificial SHIV (Simian-Human Immunodeficiency Virus) which are similar to HIV are lentiviruses. Since SIV do not cause any syndrome in simians, we expected that applying the genetic data of SIV and SHIV would assist finding new genetic cure for HIV-related diseases such as AIDS. Comparing the genetic sequences of these genes, we found the association among the viruses’ genes. We used apriori algorithm for data mining process, and compared four genes (env, nef, tat, vif) which exists in all of three viruses’ genomes. We focused on these four genes, for they have significant roles in viruses’ recognition of host cell.

Index Terms—bioinformatics, retrovirus, lentivirus, HIV

Cite: Punnee Sittidech, Nipaporn Chanamarn, and Kanokwan Arunrudchadarom, "Birth Asphyxia Classification Using AdaBoost Ensemble Method," Journal of Medical and Bioengineering, Vol. 4, No. 2, pp. 130-134, April 2015. Doi: 10.12720/jomb.4.2.130-134