Читать книгу Phytomicrobiome Interactions and Sustainable Agriculture - Группа авторов - Страница 36

Metagenome sequencing generally ends up with the generation of a huge pool of nucleotide sequences. This vast data set of nucleotide sequences need to be analyzed thoroughly before converting it to meaningful information. The in‐silico approaches, which include several bioinformatics tools, have helped metagenome researches in data mining. These tools have been developed in such a manner which enable them to examine large preexisting databases for the generation of new information in a short time interval. Majority of the DNA sequences generated in metagenomic studies come from Sanger sequencing and different next‐generation sequencing platforms. The pyrosequencing and illumina sequencing are such platforms which produce long and short reads, respectively. Several software packages have been developed for the analysis of data generated by these sequencing techniques.