Single nucleotide polymorphism (SNP) studies and random mutagenesis projects identify amino acid substitutions in protein-coding regions. Each sub-stitution has the potential to affect protein function. SIFT (Sorting Intolerant From Tolerant) is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study. We have shown that SIFT can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms. SIFT is available a
Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to im...
There are more than 500 amino acid substitutions in each human genome, and bioinformatics tools irre...
International genome sequencing projects have produced billions of nucleotides (letters) of DNA sequ...
The Sorting Intolerant from Tolerant (SIFT) algorithm predicts the effect of coding variants on prot...
A major interest in human genetics is to determine whether a nonsynonymous single-base nucleotide po...
An important challenge in translational bioinformatics is to understand how genetic variation gives ...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
<div><p>As next-generation sequencing projects generate massive genome-wide sequence variation data,...
Advancements in sequencing technologies have empowered recent efforts to identify polymorphisms and ...
<div><p>Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions...
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a v...
As next-generation sequencing projects generate massive genome-wide sequence variation data, bioinfo...
<p>Sorting intolerant from tolerant (SIFT) uses sequence homology to predict effects on protein func...
a r t i c l e i n f o identified as deleterious and damaging by the SIFT (Sorting Intolerant and NOM...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to im...
There are more than 500 amino acid substitutions in each human genome, and bioinformatics tools irre...
International genome sequencing projects have produced billions of nucleotides (letters) of DNA sequ...
The Sorting Intolerant from Tolerant (SIFT) algorithm predicts the effect of coding variants on prot...
A major interest in human genetics is to determine whether a nonsynonymous single-base nucleotide po...
An important challenge in translational bioinformatics is to understand how genetic variation gives ...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
<div><p>As next-generation sequencing projects generate massive genome-wide sequence variation data,...
Advancements in sequencing technologies have empowered recent efforts to identify polymorphisms and ...
<div><p>Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions...
Motivation: Advances in high-throughput genotyping and next generation sequencing have generated a v...
As next-generation sequencing projects generate massive genome-wide sequence variation data, bioinfo...
<p>Sorting intolerant from tolerant (SIFT) uses sequence homology to predict effects on protein func...
a r t i c l e i n f o identified as deleterious and damaging by the SIFT (Sorting Intolerant and NOM...
Indels in the coding regions of a gene can either cause frameshifts or amino acid insertions/deletio...
Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to im...
There are more than 500 amino acid substitutions in each human genome, and bioinformatics tools irre...
International genome sequencing projects have produced billions of nucleotides (letters) of DNA sequ...