{"id":17809669,"url":"https://github.com/jminnier/startapp","last_synced_at":"2025-10-29T03:34:19.159Z","repository":{"id":80717309,"uuid":"54351232","full_name":"jminnier/STARTapp","owner":"jminnier","description":"The START App: R Shiny Transcriptome Analysis Resource Tool","archived":false,"fork":false,"pushed_at":"2020-11-11T01:31:12.000Z","size":98019,"stargazers_count":90,"open_issues_count":7,"forks_count":41,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-02-28T03:13:38.126Z","etag":null,"topics":["bioinformatics","genome-biology","r","rna-seq","shiny","shiny-apps","transcriptome","visualization"],"latest_commit_sha":null,"homepage":"https://kcvi.shinyapps.io/START/","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jminnier.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-03-21T01:37:29.000Z","updated_at":"2024-11-20T12:16:16.000Z","dependencies_parsed_at":"2023-04-01T10:48:25.947Z","dependency_job_id":null,"html_url":"https://github.com/jminnier/STARTapp","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jminnier%2FSTARTapp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jminnier%2FSTARTapp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jminnier%2FSTARTapp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jminnier%2FSTARTapp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jminnier","download_url":"https://codeload.github.com/jminnier/STARTapp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243878408,"owners_count":20362431,"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":["bioinformatics","genome-biology","r","rna-seq","shiny","shiny-apps","transcriptome","visualization"],"created_at":"2024-10-27T15:21:03.945Z","updated_at":"2025-10-29T03:34:14.143Z","avatar_url":"https://github.com/jminnier.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# START App\n\nThis is the code to run the app described in the manuscript: \n\n[Nelson, JW, Sklenar J, Barnes AP, Minnier J. (2016) \"The START App: A Web-Based RNAseq Analysis and Visualization Resource.\" Bioinformatics.  doi: 10.1093/bioinformatics/btw624.](http://bioinformatics.oxfordjournals.org/content/early/2016/09/27/bioinformatics.btw624.abstract)\n\nThe app is hosted on Shinyapps.io here:\n\u003chttps://kcvi.shinyapps.io/START/\u003e\n\nTo run this app locally on your machine, download R or RStudio and run the following commands once to set up the environment:\n```\n\ninstall.packages(c(\"reshape2\",\"ggplot2\",\"ggthemes\",\"gplots\",\"ggvis\",\"dplyr\",\"tidyr\",\"DT\", \"readr\",\n                   \"RColorBrewer\",\"pheatmap\",\"shinyBS\",\"plotly\",\"janitor\",\n                   \"markdown\",\"NMF\",\"scales\",\"heatmaply\"))\n## try http:// if https:// URLs are not supported\nif (!requireNamespace(\"BiocManager\", quietly = TRUE))\n  install.packages(\"BiocManager\")\nBiocManager::install(c(\"limma\",\"edgeR\"))\n\n```\n\nYou may now run the shiny app with just one command in R:\n\n```\nshiny::runGitHub(\"STARTapp\", \"jminnier\")\n```\n\nJonathan Nelson, Jiri Sklenar, Anthony Barnes, Jessica Minnier.\n*The Knight Cardiovascular Institute and OHSU-PSU School of Public Health, Oregon Health \u0026 Science University, Portland, OR 97239-3098, USA.*\n\nWe would appreciate reports of any issues with the app via the issues option of \n[Github](https://github.com/jminnier/STARTapp) or by emailing start.app.help-at-gmail.com.\n\n# Instructions\n\nInstructions can be found here: \u003chttps://github.com/jminnier/STARTapp/blob/master/instructions/Instructions.md\u003e \n\n# Licensing\n\nThis shiny code is licensed under the GPLv3. Please see the file LICENSE.txt for\ninformation.\n\n    START (Shiny Transcriptome Analysis Resource Tool) App\n    Shiny App for analysis and visualization of transcriptome data.\n    Copyright (C) 2016  Jessica Minnier\n\n    This program is free software: you can redistribute it and/or modify\n    it under the terms of the GNU General Public License as published by\n    the Free Software Foundation, either version 3 of the License, or\n    (at your option) any later version.\n\n    This program is distributed in the hope that it will be useful,\n    but WITHOUT ANY WARRANTY; without even the implied warranty of\n    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\n    GNU General Public License for more details.\n\n    You should have received a copy of the GNU General Public License\n    along with this program.  If not, see \u003chttp://www.gnu.org/licenses/\u003e.\n\n    You may contact the author of this code, Jessica Minnier, at \u003cminnier@ohsu.edu\u003e\n    \n# Code adapted for use in app:\n\n- Linear regression p-value extraction code from \u003chttps://github.com/ohsu-computational-biology/R-utils\u003e\n- `voom` method to allow linear analysis of RNA-seq read counts (Law et al 2014)\n- DESeq2 vignette for improving PCA plots (Love et al 2014)\n\n\nLaw, CW, Chen, Y, Shi, W, and Smyth, GK (2014). Voom: precision weights unlock\nlinear model analysis tools for RNA-seq read counts. Genome Biology 15, R29.\n\nLove MI, Huber W, and Anders S (2014). Moderated\n  estimation of fold change and dispersion for RNA-Seq data with DESeq2.\n  Genome Biology, 15, 550.\n\n# DOI\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.160626.svg)](https://doi.org/10.5281/zenodo.160626)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjminnier%2Fstartapp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjminnier%2Fstartapp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjminnier%2Fstartapp/lists"}