an R/Bioconductor package for the simulation of structural variations Long Description (required)
RSVSim is a tool for the simulation of deletions, insertions, inversions, tandem duplications and translocations of various sizes in any genome available as FASTA-file or data package in R. The structural variations can be generated randomly, based on user-supplied genomic coordinates or associated to various kinds of repeats. The package further comprises functions to estimate the distribution of structural variation sizes from real datasets. https://bioconductor.org/packages/release/bioc/html/RSVSim.html
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 23620362 ],
Bartenhagen C, Dugas M ,
RSVSim: an R/Bioconductor package for the simulation of structural variations. ,
Bioinformatics ,
07-01-2013 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=23620362, Primary Citation
[Pubmed ID: 37293824 ],
Zhou X, Pan J, Wang Y, Lynch M, Long H, Zhang Y ,
De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing. ,
Genome Biol Evol ,
06-01-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37293824, , Application
[Pubmed ID: 37537522 ],
Jung YH, Wang HV, Ali S, Corces VG, Kremsky I ,
Characterization of a strain-specific CD-1 reference genome reveals potential inter- and intra-strain functional variability. ,
BMC Genomics ,
08-03-2023 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=37537522, , Application