**1. Introduction**

54 Bioinformatics

Cell Biol, 148:7-16.

[41] Kodiha, M., Crampton, N., Shrivastava, S., Umar, R., and Stochaj, U. (2010). Traffic

[42] Czubryt M P, Austria J A and Pierce G N (2000). Hydrogen peroxide inhibition of nuclear protein import is mediated by the mitogen-activated protein kinase, ERK2. J

control at the nuclear pore. Aging, 237-244.

The human genome is one of the most complex molecular structures ever seen in nature. Its extraordinary information content has revealed a surprising mosaicims between coding and non-coding sequences [1-4]. This highly regionalized structure introduces complex patterns for understanding the gene structure and repetitive DNA sequence composition providing a new scenario to study biological process such as Lentivirus cDNA integration into host genome. In the field of genome analysis, bioinformatics provides the key connection between all different forms of data gathered by new high-throughput techniques such as systematic sequencing, expression arrays, and high throughput screenings among others. Although the success of bioinformatics in the genome analysis is undeniable, in some cases has complicated the relationship of computation with experimental biology. There is a need to attend to our pressing needs of bioinformatics applications without forgetting other, perhaps less evident but equally important, aspects of computation in biology.

The study of particular systems is the source of inspiration that guides the formation of general ideas from specific cases to general principles. Therefore the systemic approach extends towards the study of fundamental biological questions, such as gene assembly, protein folding and the nature of functional specificity. Such issues extend beyond the current perception of bioinformatics as a support discipline and address aspects of biological complexity, including the simulation of molecular interaction networks.
