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SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs.

Bioinformatics (Oxford, England) - 1 Sept 2006

Reumers Joke, Maurer-Stroh Sebastian, Schymkowitz Joost, Rousseau Frederic

Abstract excerpt

UNLABELLED: Single nucleotide polymorphisms (SNPs) constitute the most fundamental type of genetic variation in human populations. About 75 000 of these reported variations cause an amino acid change in the translated protein. An important goal in genomic research is to understand how this variability affects protein function, and whether or not particular SNPs are associated to disease susceptibility....

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Algorithms
Base Sequence
Chromosome Mapping
DNA Mutational Analysis
Genome, Human

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Sequence Alignment

Sequence Analysis, DNA

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PMID: 16809394
DOI: 10.1093/bioinformatics/btl348

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SNPeffect v2.0: a new step in investigating the molecular phenotypic effects of human non-synonymous SNPs.PMID 16809394Read ↗

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WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation.Semantic proximity Read ↗

SNP@Domain: a web resource of single nucleotide polymorphisms (SNPs) within protein domain structures and sequences.Semantic proximity Read ↗

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Functional non-synonymous polymorphisms prediction methods: current approaches and future developments.Semantic proximity Read ↗

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