ArticlePeerJ2020
intansv: an R package for integrative analysis of structural variations.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Bayesian Integrative Detection of Structural Variations With False Discovery Rate Control.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Genetic Investigation of Inherited Variants in a Multiplex Autism Spectrum Disorder (ASD) Family Using Whole-Genome Sequencing (WGS).Iranian journal of public health · 2025Article
- Novel splicing variant and gonadal mosaicism in DYRK1A gene identified by whole-genome sequencing in multiplex autism spectrum disorder families.Neurogenetics · 2024Article
- Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia.International journal of molecular sciences · 2023Article
- Spatiotemporal variations in retrovirus-host interactions among Darwin's finches.Nature communications · 2022Article
- Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family.Human genetics · 2021Article
- Structural genome analysis in cultivated potato taxa.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- Whole genome re-sequencing of sweet cherry (Horticulture research · 2020Article
- The comparative landscape of duplications in Heliconius melpomene and Heliconius cydno.Heredity · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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 functions currently as far as we are concerned. We report an R package, intansv, which can integrate the predictions of multiple programs as well as annotate and visualize structural variations. The source code and the help manual of intansv is freely available at https://github.com/venyao/intansv and http://www.bioconductor.org/packages/devel/bioc/html/intansv.html.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.