Publication Date:
2013-02-02
Description:
Insertion and deletion polymorphisms (indels) are an important source of genomic variation in plant and animal genomes, but accurate genotyping from low-coverage and exome next-generation sequence data remains challenging. We introduce an efficient population clustering algorithm for diploids and polyploids which was tested on a dataset of 2000 exomes. Compared with existing methods, we report a 4-fold reduction in overall indel genotype error rates with a 9-fold reduction in low coverage regions.
Keywords:
Computational Methods, Genomics
Print ISSN:
0305-1048
Electronic ISSN:
1362-4962
Topics:
Biology
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