Title
Introducing COCOS: codon consequence scanner for annotating reading frame changes induced by stop-lost and frame shift variants.
Abstract
A Summary Reading frame altering genomic variants can impact gene expression levels and the structure of protein products, thus potentially inducing disease phenotypes. Current annotation approaches report the impact of such variants in the context of altered DNA sequence only; attributes of the resulting transcript, reading frame and translated protein product are not reported. To remedy this shortcoming, we present a new genetic annotation approach termed Codon Consequence Scanner (COCOS). Implemented as an Ensembl variant effect predictor (VEP) plugin, COCOS captures amino acid sequence alterations stemming from variants that produce an altered reading frame, such as stop-lost variants and small insertions and deletions (InDels). To highlight its significance, COCOS was applied to data from the 1000 Genomes Project. Transcripts affected by stop-lost variants introduce a median of 15 amino acids, while InDels have a more extensive impact with a median of 66 amino acids being incorporated. Captured sequence alterations are written out in FASTA format and can be further analyzed for impact on the underlying protein structure.
Year
DOI
Venue
2017
10.1093/bioinformatics/btw820
BIOINFORMATICS
Field
DocType
Volume
Data mining,Computer vision,Computer science,Frameshift mutation,Scanner,Artificial intelligence
Journal
33
Issue
ISSN
Citations 
10
1367-4803
0
PageRank 
References 
Authors
0.34
1
3
Name
Order
Citations
PageRank
Mariusz Butkiewicz121.18
Jonathan L. Haines220.84
William S. Bush316118.45