2020
DOI: 10.7717/peerj.8867
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intansv: an R package for integrative analysis of structural variations

Abstract: Identification of structural variations between individuals is very important for the understanding of phenotype variations and diseases. Despite the existence of dozens of programs for prediction of structural variations, none of them is the golden standard in this field and the results of multiple programs were usually integrated to get more reliable predictions. Annotation and visualization of structural variations are important for the understanding of their functions. However, no program provides these fu… Show more

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Cited by 6 publications
(4 citation statements)
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References 25 publications
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“…CNVs calls were filtered as follows: length greater than 1 kb, P-value (first e-value) < 0.01, q0 < 50%, and pN < 50%. The R package intansv v1.12.0 [ 94 ] was used to find correspondence between the identified CNVs and the genes in the potato genome. For this purpose, the CNVpytor output files were converted to the format required for input by removing the last two columns (pN and dG).…”
Section: Methodsmentioning
confidence: 99%
“…CNVs calls were filtered as follows: length greater than 1 kb, P-value (first e-value) < 0.01, q0 < 50%, and pN < 50%. The R package intansv v1.12.0 [ 94 ] was used to find correspondence between the identified CNVs and the genes in the potato genome. For this purpose, the CNVpytor output files were converted to the format required for input by removing the last two columns (pN and dG).…”
Section: Methodsmentioning
confidence: 99%
“…Samples were individually called by DELLY and merged into a single vcf file using BCFtools merge 24 . The vcf was read into R using intansv 29 and VariantAnnotation 30 packages. Regions were filtered for length (90 – 20,000 bp) and at least two supporting reads.…”
Section: Methodsmentioning
confidence: 99%
“…The seven WGS samples had on average 311,500 SV calls (range 310,900–311,900), of which on average 1915 (range 1855–1949) had been called by at least two different callers. SV calls across all samples were combined using the R package intanSV (Jia et al 2020 ) by merging the calls that had been made in at least two samples with a reciprocal coordinate overlap larger than 10%. There were a total of 26,799 overlapped calls, 22,954 deletions, 3105 duplications, and 740 inversions.…”
Section: Methodsmentioning
confidence: 99%