how to analyze the data after whole genome sequencing of bacteria?

Nowadays, the use of different sequencing technologies has become a main part of biological research. in relation to infectious diseases, the information obtained by whole genome sequencing (wgs) change rapidly our knowledge about microorganisms, their pathogenicity and epidemiology. wgs leads to the generation of a large amount of data. this is just the beginning and the researcher must be able to extract the required information from this volume of data. various softwares have been developed to extract information from the genome of bacteria, but many of them require programming knowledge and the use of powerful processors. however, to facilitate data analysis processes by biological researchers, various servers with different purposes are available. the aim of this summary is to introduce different servers in the field of microbiology data analysis. center for genomic epidemiology has a number of free online bioinformatics services. it facilitates data analyzing for finding virulence genes, antimicrobial resistance genes, plasmid replicon types, serotypes, etc. the other applicable servers are proksee for genome assembly, annotation and visualization, featuring interactive circular and linear genome maps, mauve for comparison of genome, rast, etc.