Abstract
With increasing demand for low-cost sequencing of genome, Next Generation Sequencing (NGS), was developed. NGS features in high throughput property, which means it can produce huge amount of sequences in short time period. This advantage on sequencing had improved the research about metagenomics by utilizing algorithms and computers. In this thesis, we analyzed human oral whole genome produced by Illumina sequencing machine, in order to find potential virulence factors in oral microbiome of periodontitis sufferer. We use Map Reads to Reference method to analyze the sample with reference sequence formed by the elements in MvirDB established by Lawrence Livermore National Laboratory (LLNL), which is in fact an integration database of several virulence database. The result shows that different type of virulence factors were found in 8 samples, and each of them benefits pathogens in its own ways.