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. 2012 Jul;40(Web Server issue):W452-7.
doi: 10.1093/nar/gks539. Epub 2012 Jun 11.

SIFT web server: predicting effects of amino acid substitutions on proteins

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SIFT web server: predicting effects of amino acid substitutions on proteins

Ngak-Leng Sim et al. Nucleic Acids Res. 2012 Jul.

Abstract

The Sorting Intolerant from Tolerant (SIFT) algorithm predicts the effect of coding variants on protein function. It was first introduced in 2001, with a corresponding website that provides users with predictions on their variants. Since its release, SIFT has become one of the standard tools for characterizing missense variation. We have updated SIFT's genome-wide prediction tool since our last publication in 2009, and added new features to the insertion/deletion (indel) tool. We also show accuracy metrics on independent data sets. The original developers have hosted the SIFT web server at FHCRC, JCVI and the web server is currently located at BII. The URL is http://sift-dna.org (24 May 2012, date last accessed).

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Figures

Figure 1.
Figure 1.
Performance statistics of SIFT predictions on PolyPhen-2’s (a) HumVar and (b) HumDiv data sets when using various protein databases. ROC curves on the (c) HumVar and (d) HumDiv data sets. Although UniRef-100 shows slightly better performance than UniRef-90, it has lower coverage.
Figure 1.
Figure 1.
Performance statistics of SIFT predictions on PolyPhen-2’s (a) HumVar and (b) HumDiv data sets when using various protein databases. ROC curves on the (c) HumVar and (d) HumDiv data sets. Although UniRef-100 shows slightly better performance than UniRef-90, it has lower coverage.

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References

    1. Lam HY, Clark MJ, Chen R, Chen R, Natsoulis G, O'Huallachain M, Dewey FE, Habegger L, Ashley EA, Gerstein MB, et al. Performance comparison of whole-genome sequencing platforms. Nat. Biotechnol. 2011;30:78–82. - PMC - PubMed
    1. Ng SB, Turner EH, Robertson PD, Flygare SD, Bigham AW, Lee C, Shaffer T, Wong M, Bhattacharjee A, Eichler EE, et al. Targeted capture and massively parallel sequencing of 12 human exomes. Nature. 2009;461:272–276. - PMC - PubMed
    1. Stenson PD, Mort M, Ball EV, Howells K, Phillips AD, Thomas NS, Cooper DN. The Human Gene Mutation Database: 2008 update. Genome Med. 2009;1:13. - PMC - PubMed
    1. Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, Sirotkin K. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29:308–311. - PMC - PubMed
    1. Durbin RM, et al. A map of human genome variation from population-scale sequencing. Nature. 2010;467:1061–1073. - PMC - PubMed

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