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- W2369600631 abstract "In the post-genomic area, the fast accumulation of SNP data available in the public domain in recent years enabled the in silico functional analysis of the SNPs which are located both in coding and non-coding regions. However, the accuracy of current SNP functional prediction tools is still not satisfactory. According to the types of SNPs, a broad review of Bioinformatics methods available is presented to understand the functional effects of genetic variants on the gene products. Special attention has been drawn on the deleterious non-synonymous SNPs prediction based on sequence features and structure features. Also, public SNP resources and SNP functional annotation tools are summarized. The analysis demonstrates that there are a lot of unsolved problems and innovations in this field." @default.
- W2369600631 created "2016-06-24" @default.
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- W2369600631 date "2007-01-01" @default.
- W2369600631 modified "2023-09-24" @default.
- W2369600631 title "Bioinformatics Methods and Resources for SNP Functional Analysis" @default.
- W2369600631 hasPublicationYear "2007" @default.
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