A systematic approach to automate spiddos information extraction for on-web GP system

Internet-based database technologies have already been developed to identify species on the basis of their genotypes and thus most useful for microbe-related disciplines. However, a huge number of microbial species which are estimated to outnumber cells in a host by a factor of ten must need to analyze by an ultra-high-throughput method and therefore a computer-based environment that enables cataloging and integrating data into a format that can be easily shared and maximally utilized by user is essentially required. On-web GP is an online program, developed for the species identification and classification based on Genome Profiling (GP) technique. GP is represented by some featuring points, called Spiddos (species-identification dots), which correspond to the changes in state of genomes and thus can be used to provide a sufficient amount of sequence-related information for identifying species. This study involves the extraction of the Sppidos through an automated mechanism using image processing and data processing. A systematic computer algorithmic approach based on Java programming language is defined and demonstrated to automate the extraction of Spiddos from a given GP image submitted by the user through On-Web GP program. The suggested solution can be used to develop an efficient automated On-web GP system for web-based online species identification.