Please use this identifier to cite or link to this item: https://doi.org/10.1186/gb-2012-13-2-r9
Title: Predicting the effects of frameshifting indels
Authors: Hu, J
Ng, P.C 
Keywords: complementary DNA
DNA
protein
accuracy
African
article
Asian
classification algorithm
classifier
CYP3A gene
decision tree
DNA sequence
ethnic group
European
exon
frameshifting indel
gene
gene cluster
gene deletion
gene frequency
gene function
gene insertion
genetic conservation
HERC2 gene
human
human genome
intron
nonhuman
protein function
sensitivity and specificity
sequence alignment
SIFT indel algorithm
algorithm
animal
biology
Caucasian
computer program
frameshift mutation
genetics
indel mutation
Negro
African Continental Ancestry Group
Algorithms
Animals
Asian Continental Ancestry Group
Computational Biology
European Continental Ancestry Group
Frameshift Mutation
Gene Frequency
Genome, Human
Humans
INDEL Mutation
Proteins
Software
Issue Date: 2012
Citation: Hu, J, Ng, P.C (2012). Predicting the effects of frameshifting indels. Genome Biology 13 (2) : R9. ScholarBank@NUS Repository. https://doi.org/10.1186/gb-2012-13-2-r9
Rights: Attribution 4.0 International
Abstract: Each human has approximately 50 to 280 frameshifting indels, yet their implications are unknown. We created SIFT Indel, a prediction method for frameshifting indels that has 84% accuracy. The percentage of human frameshifting indels predicted to be gene-damaging is negatively correlated with allele frequency. We also show that although the first frameshifting indel in a gene causes loss of function, there is a tendency for the second frameshifting indel to compensate and restore protein function. SIFT Indel is available at http://sift-dna.org/www/SIFT_indels2.html. © 2012 Hu and Ng; licensee BioMed Central Ltd.
Source Title: Genome Biology
URI: https://scholarbank.nus.edu.sg/handle/10635/183237
ISSN: 14747596
DOI: 10.1186/gb-2012-13-2-r9
Rights: Attribution 4.0 International
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