MINT-A Software Developed For Metagenomics Study Based On Linux Platform

Metagenomics aimed to study total of microorganisms in environments, the decipher ofmicrobial composition, functional composition, interactions between these organism and thehost habitant and comparative analysis enable us to get meaningful information.Metagenomocs enables analysis of uncultured organisms by sequencing DNA directlyexciced from the total microbial organisms.Besides, a clonal culture also fails to represent thetrue state of affairs in nature with respect to organism interaction, and the resulting populationgenomic variance and biological functions.The development of sequencing technology and more focus on the microbial communityespecially with the originally poorly observed ones are expanding and transforming our viewof the microbial world. Distilling meaningful information from the millions of new genomicsequences presents a serious challenge to bioinformaticiansIn cultured microbes,the genomicdata come from a single clone, making sequence assembly and annotation tractableInmetagenomics, the data come from heterogeneous microbial communities, with thesequence data being noisy and partial. From sampling, to assembly, to gene calling andfunction prediction, bioinformatics faces new demands in interpreting voluminous, noisy, andoften partial sequence data. Although metagenomics is a relative newcomer to science, thepast few years have seen an explosion in computational methods applied to metagenomic-based research. We provide here a concise yet comprehensive introduction to the currentcomputational requirements presented by metagenomics, and a new analysis software MINTis develeoped. Compared with current metagenomics analysis pipeline, MINT could performthe prelimentary bioinformatics analysis, which also provides much more comprehensiveanalysis results and multiple choices of methods.