Gene Abundance Analysis in Metagenomics

Abstract

Metagenomic project usually tends to obtains high biased and error-prone result and facing the computational problems because of the operation such as the cultivation of microbes and the short fragment of microorganism sequencing assembly. In this project, a novel approach, which circumvent historical error and difficulties based on the direct searching and mapping the metagenomics reads in the gene sequence database and performed three significant analysis based on the mapping outcomes, offering the potential merge direction from various perspectives, is introduced on the purpose of the research on gene abundance analysis of metagenomics.