A SHORT NOTE- METAGENOMICS

Metagenomics may be defined as a study of uncultured microorganisms. It includes quicker, cheaper sequencing skill and by using metagenomic approach, we can able to sequence uncultured microbial samples from their environment directly are expanding and transforming our view of the microbial world. Purify meaningful information from the millions of new genomic sequences presents a serious challenge to bioinformaticians. In cultured microbes, the genomic data come from a single clone, making sequence assembly and annotation tractable. In metagenomics, the data come from heterogeneous microbial communities, sometimes containing more than 10,000 species, with the sequence data being noisy and partial. From sampling, to assembly, to gene calling and function prediction, bioinformatics faces new demands in interpreting voluminous, noisy, and often partial sequence data. Although metagenomics is a relative newcomer to science, the past few years have seen an explosion in computational methods applied to metagenomic based research. This article gives an idea about some bioinformatic techniques for metagenomics