Mapping genomes by using bioinformatics data and tools

Abstract The modern age of computational techniques has indeed speeded up the bioinformatics era in revealing the genetic and genomic world. Bioinformatics has a role in developing software tools that help to systematically organize, analyze, and understand biological data. This data mining of biological literature can avail us with a better prospectus of the biological pathways and complex mechanisms involved in systems biology. Moreover, genome sequencing and annotation aid in gene prediction, modeling, expression profiling, and eventually in molecular dynamics simulation. The emergence of next-generation sequencing programs has achieved unparallel growth in whole-genome sequencing projects such as 100,000 human genomes, 1000 plant species, etc. Such high-throughput data allow the recognition and exploration of potential biological drug targets. However, more effort is needed to develop better user-friendly biological network tools to utilize and functionalize the sequenced genome. This chapter contains an overall summary of current basics and developments of high-throughput data in the field of bioinformatics, which aims to help readers understand the basics of bioinformatics.