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 cur-rently located at BII. Th
<p>Sorting intolerant from tolerant (SIFT) uses sequence homology to predict effects on protein func...
International audienceBACKGROUND: Small insertion and deletion polymorphisms (Indels) are the second...
Rapid technological advances are providing unprecedented insights in the biologicalsciences, with ma...
Single nucleotide polymorphism (SNP) studies and random mutagenesis projects identify amino acid sub...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
<div><p>Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions...
We are awash in proteins discovered through high-throughput sequencing projects. As only a minuscule...
We are awash in proteins discovered through high-throughput sequencing projects. As only a minus-cul...
<div><p>As next-generation sequencing projects generate massive genome-wide sequence variation data,...
As next-generation sequencing projects generate massive genome-wide sequence variation data, bioinfo...
Advancements in sequencing technologies have empowered recent efforts to identify polymorphisms and ...
A major interest in human genetics is to determine whether a nonsynonymous single-base nucleotide po...
Predictive algorithms are important tools for translating genomic data into meaningful functional an...
An important challenge in translational bioinformatics is to understand how genetic variation gives ...
<p>Sorting intolerant from tolerant (SIFT) uses sequence homology to predict effects on protein func...
International audienceBACKGROUND: Small insertion and deletion polymorphisms (Indels) are the second...
Rapid technological advances are providing unprecedented insights in the biologicalsciences, with ma...
Single nucleotide polymorphism (SNP) studies and random mutagenesis projects identify amino acid sub...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
<div><p>Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions...
We are awash in proteins discovered through high-throughput sequencing projects. As only a minuscule...
We are awash in proteins discovered through high-throughput sequencing projects. As only a minus-cul...
<div><p>As next-generation sequencing projects generate massive genome-wide sequence variation data,...
As next-generation sequencing projects generate massive genome-wide sequence variation data, bioinfo...
Advancements in sequencing technologies have empowered recent efforts to identify polymorphisms and ...
A major interest in human genetics is to determine whether a nonsynonymous single-base nucleotide po...
Predictive algorithms are important tools for translating genomic data into meaningful functional an...
An important challenge in translational bioinformatics is to understand how genetic variation gives ...
<p>Sorting intolerant from tolerant (SIFT) uses sequence homology to predict effects on protein func...
International audienceBACKGROUND: Small insertion and deletion polymorphisms (Indels) are the second...
Rapid technological advances are providing unprecedented insights in the biologicalsciences, with ma...