articleTop 1% cited
SIFT missense predictions for genomes
Nature Protocols · 2015 · Vol. 11(1) · pp. 1–9
Robert Vaser✉(University of Zagreb)Swarnaseetha Adusumalli(Agency for Science, Technology and Research)Sim Ngak Leng(Agency for Science, Technology and Research)Mile Šikić(Agency for Science, Technology and Research)Pauline C. Ng(Agency for Science, Technology and Research)
Genomics and Phylogenetic StudiesGenomics and Rare DiseasesRNA and protein synthesis mechanismsScale-invariant feature transformComputer scienceComputational biologyGenomeArtificial intelligenceBiologyGeneticsImage (mathematics)Gene
MeSH terms
AlgorithmsHumansPhenotypeReference StandardsMutation, MissenseGenomicsDatabases, ProteinMolecular Sequence Annotation
Funding
- Hrvatska Zaklada za Znanost
Citations
1,583
FWCI
12.35
field-weighted impact
References
35
Percentile
99%
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Citations per year
References
Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm
Nature Protocols · 2009 · 6,687 citations
A method and server for predicting damaging missense mutations
Nature Methods · 2010 · 13,461 citations
The Human Genome Browser at UCSC
Genome Research · 2002 · 10,897 citations
Phytozome: a comparative platform for green plant genomics
Nucleic Acids Research · 2011 · 5,646 citations
SIFT: predicting amino acid changes that affect protein function
Nucleic Acids Research · 2003 · 6,783 citations
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Nucleic Acids Research · 1997 · 74,154 citations
Predicting Deleterious Amino Acid Substitutions
Genome Research · 2001 · 2,698 citations
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