A comparative study of genome databases

The rapid increasing in the number of fully sequenced genomes of numerous species and massive amounts of data generated by molecular biology and biochemistry creates new opportunities for comparative studies. This achievement combined with the progress in computational tools and applications that occurred in the last few decades allowed the use of new approaches in the study of genome databases. Numerous biological databases and computational tools have been created attempting to optimize the access to this information through the web. There are two types of databases: First local database that records internal data from that laboratory’s experiments and second, public database accessed through the Internet, such as NCBI, GenBank, EBI and EMBL. The genome sequences and various numbers of databases are available to anyone with Internet access. In this thesis, I present the main public databases, resources, different data formats and computational tools and applications available through the web for comparative analysis of genomic and proteomic sequences and other molecular biology datasets to support current interests in this field.MscComputer science and information technolog