Computational genome analysis for identifying biliary atresia genes
Biliary atresia considered to be a very uncommon birth defect. Out of every 10,000 births 0.5 to 0.8 birth posses this defect. The Kasai portoenterostomy operation has shown good results with biliary atresia treatment, however age factor highly influences the results of the operation. Many unrevealed genetic and associated factors are the cause of biliary atresia, hence considered as multifactorial etiologies. There are three types of biliary atresia have been reported, classified based on biliary obstruction. Type I is bile duct blockage, with approximate prevalence of 5% cases. Type II is the blockage of hepatic duct with prevalence of around 2% cases. Type III is the blockage of porta hepatis. In this article different computational and bioinformatics tools are mentioned that could be utilized for In Silico analysis of genes causing biliary atresia. Like Gene ID, FGENESH, Gene Parser, Genie, AUGUSTUS, GENSCAN and MZEF. Two types of gene analysis and gene predictions approaches can be used in this case (I) Sequence similarity searches and (II) Ab initio gene prediction methods. Both approaches use different set of tools working on different algorithms. However, GENSCAN tool based on GHMM algorithm resulted to be the most accurate in gene prediction based on the accuracy parameters Burset and Guigo's sequence set.