Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position

Notwithstanding the huge amount of detailed information available in protein databases, it is not possible to automatically download a list proteins ordered by position their codifying gene. This order becomes crucial when analyzing common features produced loci or other specific regions human chromosomes. In this study, we developed new procedure that interrogates two databases (genomic and protein) produces novel dataset following mapping corresponding genes. We validated implemented create user-friendly web application. data mining was used evaluate distribution critical amino acid content codified chromosome. For purpose, designed methodological approach called chromosome walking, which scanned whole found producing enriched selected acid. As an example biomedical application, investigated 15, contains locus DYX1 linked developmental dyslexia, three additional putative gene clusters whose expression could be driven environmental availability glutamate. The analysis exploited study several pathologies.