ELViS
An R Package for Estimating Copy Number Levels of Viral Genome Segments Using Base-Resolution Read Depth Profile
Bioconductor version: 3.23 · Package version: 1.4.0
Base-resolution copy number analysis of viral genome. Utilizes base-resolution read depth data over viral genome to find copy number segments with two-dimensional segmentation approach. Provides publish-ready figures, including histograms of read depths, coverage line plots over viral genome annotated with copy number change events and viral genes, and heatmaps showing multiple types of data with integrative clustering of samples.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ELViS") Details
| Maintainer | Jin-Young Lee <jlee307@uthsc.edu> |
| Author | Hyo Young Choi [aut, cph] (ORCID: <https://orcid.org/0000-0002-7627-8493>), Jin-Young Lee [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-5366-7488>), Xiaobei Zhao [ctb] (ORCID: <https://orcid.org/0000-0002-5277-0846>), Jeremiah R. Holt [ctb] (ORCID: <https://orcid.org/0000-0002-5201-5015>), Katherine A. Hoadley [aut] (ORCID: <https://orcid.org/0000-0002-1216-477X>), D. Neil Hayes [aut, fnd, cph] (ORCID: <https://orcid.org/0000-0001-6203-7771>) |
| License | MIT + file LICENSE |
| URL | https://github.com/hyochoi/ELViS |
| Bug Reports | https://github.com/hyochoi/ELViS/issues |
| Downloads rank | 165 |
| Source branch | RELEASE_3_23 |
| biocViews | BiomedicalInformatics, Clustering, CopyNumberVariation, Coverage, GenomicVariation, Normalization, Sequencing, Software, Visualization |
Documentation
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Dependencies
Depends: R (>= 4.5.0)
Imports: reticulate, BiocGenerics, circlize, ComplexHeatmap, data.table, dplyr, GenomicFeatures, GenomicRanges, ggplot2, glue, graphics, grDevices, igraph, IRanges, magrittr, memoise, methods, parallel, patchwork, scales, segclust2d, stats, stringr, txdbmaker, utils, uuid, zoo
Suggests: Rsamtools, BiocManager, knitr, testthat (>= 3.0.0)