Bioinformatics Tools for Discovery and Functional Analysis of Single Nucleotide Polymorphisms

摘要: With the high speed DNA sequencing of genome, databases genome data continue to grow, and understanding genetic variation between individuals grows as well. Single nucleotide polymorphisms (SNPs), a main type variation, are increasingly important resource for structure function human become valuable investigating basis disease. During past years, in addition experimental approaches characterize specific variants, intense bioinformatics techniques were applied understand effects these changes. In genetics studies, one intends molecular disease, computational methods becoming SNPs selection, prediction downstream variation. The review provides systematic information on available resources discovery analysis. We also report some new results sequence-based cytochrome P450, which serves an example predict SNPs. Additionally, annotation functional SNPs, well comprehensive list existing tools online recourses, reviewed described.