<p>Upon submission of the input sequence and specification of investigated mutations, integrated predictors of pathogenicity are employed for evaluation of the mutation and the consensus prediction is calculated. In the meantime, UniProt and PMD databases are queried to gather the relevant annotations.</p
<p>Pathogenic mutations were identified on the basis of seven annotated databases: PKDB, dbSNP, SnpE...
Pathogenicity of single nucleotide polymorphism is the potential ability to produce disease. Testing...
ABSTRACT: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in hu...
Prediction of mutation impact according to bioinformatics tools in patients and controls.</p
<p>The various sources of mutation data are shown in yellow, intermediate datasets in white, Protein...
<div><p>An important message taken from human genome sequencing projects is that the human populatio...
<p>(A) On the input page, variants to be analyzed can be provided in several established formats usi...
Strict guidelines delimit the use of computational information in the clinical setting, due to the s...
<p>The four known mutations were analyzed by non-synonymous single nucleotide polymorphism (nsSNP) p...
<p>PPH-1 – PolyPhen-1; PPH-2 – PolyPhen-2; PMD dataset – dataset from Protein Mutant Database; MMP –...
<p><b>A</b> The Venn diagram shows the numbers of somatic variations in protein coding exons, found ...
<p>The dataset was prepared by combining deleterious variants from the ClinVar database with neutral...
<p>The workflow of the proposed algorithmic pipeline that integrates mutation, gene expression, and ...
The workflow of stacking model for the antigenic variants prediction based on pandemics and epidemic...
Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding ...
<p>Pathogenic mutations were identified on the basis of seven annotated databases: PKDB, dbSNP, SnpE...
Pathogenicity of single nucleotide polymorphism is the potential ability to produce disease. Testing...
ABSTRACT: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in hu...
Prediction of mutation impact according to bioinformatics tools in patients and controls.</p
<p>The various sources of mutation data are shown in yellow, intermediate datasets in white, Protein...
<div><p>An important message taken from human genome sequencing projects is that the human populatio...
<p>(A) On the input page, variants to be analyzed can be provided in several established formats usi...
Strict guidelines delimit the use of computational information in the clinical setting, due to the s...
<p>The four known mutations were analyzed by non-synonymous single nucleotide polymorphism (nsSNP) p...
<p>PPH-1 – PolyPhen-1; PPH-2 – PolyPhen-2; PMD dataset – dataset from Protein Mutant Database; MMP –...
<p><b>A</b> The Venn diagram shows the numbers of somatic variations in protein coding exons, found ...
<p>The dataset was prepared by combining deleterious variants from the ClinVar database with neutral...
<p>The workflow of the proposed algorithmic pipeline that integrates mutation, gene expression, and ...
The workflow of stacking model for the antigenic variants prediction based on pandemics and epidemic...
Single nucleotide variants represent a prevalent form of genetic variation. Mutations in the coding ...
<p>Pathogenic mutations were identified on the basis of seven annotated databases: PKDB, dbSNP, SnpE...
Pathogenicity of single nucleotide polymorphism is the potential ability to produce disease. Testing...
ABSTRACT: Single nucleotide polymorphisms (SNPs) are the most common form of genetic variation in hu...