{"id":19857019,"url":"https://github.com/griffithlab/genvisr","last_synced_at":"2025-04-06T07:14:10.481Z","repository":{"id":26389455,"uuid":"29838964","full_name":"griffithlab/GenVisR","owner":"griffithlab","description":"Genome data visualizations","archived":false,"fork":false,"pushed_at":"2024-05-12T14:30:42.000Z","size":39880,"stargazers_count":217,"open_issues_count":64,"forks_count":64,"subscribers_count":19,"default_branch":"master","last_synced_at":"2025-03-30T06:06:56.703Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/griffithlab.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2015-01-26T01:01:43.000Z","updated_at":"2025-03-18T18:50:03.000Z","dependencies_parsed_at":"2023-02-10T06:00:54.732Z","dependency_job_id":"6c4a8c3c-8dbd-4710-98fb-cd2ac8bf5ef9","html_url":"https://github.com/griffithlab/GenVisR","commit_stats":{"total_commits":870,"total_committers":27,"mean_commits":32.22222222222222,"dds":0.2804597701149425,"last_synced_commit":"f65e33deaf0b2f8a9e629e5c2282b0f7ba75b3b8"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/griffithlab%2FGenVisR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/griffithlab%2FGenVisR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/griffithlab%2FGenVisR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/griffithlab%2FGenVisR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/griffithlab","download_url":"https://codeload.github.com/griffithlab/GenVisR/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247445680,"owners_count":20939961,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-12T14:17:14.826Z","updated_at":"2025-04-06T07:14:10.456Z","avatar_url":"https://github.com/griffithlab.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Build Status](https://travis-ci.org/griffithlab/GenVisR.svg?branch=master)](https://travis-ci.org/griffithlab/GenVisR)\n[![codecov](https://codecov.io/gh/griffithlab/GenVisR/branch/master/graph/badge.svg)](https://codecov.io/gh/griffithlab/GenVisR)\n\n## GenVisR\n\nPlease cite: \"Skidmore et al. 2016 GenVisR: Genomic Visualizations in R Bioinformatics 32, 3012-3014\" [pubmed](https://www.ncbi.nlm.nih.gov/pubmed/27288499)\n\n[Bioconductor](https://bioconductor.org/packages/release/bioc/html/GenVisR.html)\n\nIntuitively visualizing and interpreting data from high-throughput genomic technologies continues to be challenging. \"Genomic Visualizations in R\" (GenVisR) attempts to alleviate this burden by providing highly customizable publication-quality graphics supporting multiple species and focused primarily on a cohort level (i.e., multiple samples/patients). GenVisR attempts to maintain a high degree of flexibility while leveraging the abilities of ggplot2 and bioconductor to achieve this goal.\n\n### Install from Bioconductor\n\nFor the majority of users we recommend installing GenVisR from the release branch of Bioconductor, Installation instructions using this method can be found on the [GenVisR landing page](http://bioconductor.org/packages/GenVisR/) on Bioconductor.\n\nPlease note that GenVisR imports a few packages that have \"system requirements\", in most cases these requirements will already be installed. If they are not please follow the instructions to install these packages given in the R terminal. Briefly these packages are: \"libcurl4-openssl-dev\" and \"libxml2-dev\"\n\n### Development\n\nDevelopment for GenVisR occurs on the griffith lab github repository available [here](https://github.com/griffithlab/GenVisR). For users wishing to contribute to development we recommend cloning the GenVisR repo there and submitting a pull request. Please note that development occurs on the R version that will be available at each Bioconductor release cycle. This ensures that GenVisR will be stable for each Bioconductor release but it may necessitate developers download R-devel.\n\nWe also encourage users to report bugs and suggest enhancements to GenVisR on the github issue page available [here](https://github.com/griffithlab/GenVisR/issues):\n\nTo install the latest development version of GenVisR (not recommended for most users):\n\n```R\n# install and load devtools package\ninstall.packages(\"devtools\")\nlibrary(devtools)\n\n# install GenVisR from github\ninstall_github(\"griffithlab/GenVisR\")\n```\n\n### Vignettes\n\nDocumentation for GenVisR can be found on the bioconductor landing page in the form of vignettes available here [GenVisR](http://bioconductor.org/packages/GenVisR/). Tutorials can also be found on biostars.org. Vignettes can also be viewed from within R.\n\n```R\n# view vignettes\nvignette(package=\"GenVisR\")\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgriffithlab%2Fgenvisr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgriffithlab%2Fgenvisr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgriffithlab%2Fgenvisr/lists"}