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While there are various tools for analyzing individual datasets, those that perform comparative and meta-analytical examination of such ranked gene lists remain scarce. Here, we introduce Gene Rank Meta Analyzer (GeneRaMeN), an R Shiny tool utilizing rank statistics to facilitate the identification of consensus, unique, and correlated genes across multiple hit lists. We focused on two key topics to showcase GeneRaMeN: virus host factors and cancer dependencies. Using GeneRaMeN \u2018Rank Aggregation\u2019, we integrated 24 published and new flavivirus genetic screening datasets, including dengue, Japanese encephalitis, and Zika viruses. This meta-analysis yielded a consensus list of flavivirus host factors, elucidating the significant influence of cell line selection on screening outcomes. Similar analysis on 13 SARS-CoV-2 CRISPR screening datasets highlighted the pivotal role of meta-analysis in revealing redundant biological pathways exploited by the virus to enter human cells. Such redundancy was further underscored using GeneRaMeN\u2019s \u2018Rank Correlation\u2019, where a strong negative correlation was observed for host factors implicated in one entry pathway versus the alternate route. Utilizing GeneRaMeN\u2019s \u2018Rank Uniqueness\u2019, we analyzed human coronaviruses 229E, OC43, and SARS-CoV-2 datasets, identifying host factors uniquely associated with a defined subset of the screening datasets. Similar analyses were performed on over 1000 Cancer Dependency Map (DepMap) datasets spanning 19 human cancer types to reveal unique cancer vulnerabilities for each organ\/tissue. GeneRaMeN, an efficient tool to integrate and maximize the usability of genetic screening datasets, is freely accessible via https:\/\/ysolab.shinyapps.io\/GeneRaMeN.<\/jats:p>","DOI":"10.1093\/bib\/bbae452","type":"journal-article","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T22:31:27Z","timestamp":1726698687000},"source":"Crossref","is-referenced-by-count":5,"title":["GeneRaMeN enables integration, comparison, and meta-analysis of multiple ranked gene lists to identify consensus, unique, and correlated genes"],"prefix":"10.1093","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7346-803X","authenticated-orcid":false,"given":"Meisam","family":"Yousefi","sequence":"first","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"},{"name":"Centre for Computational Biology, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wayne Ren","family":"See","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kam Leng","family":"Aw-Yong","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai Suet","family":"Lee","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cythia Lingli","family":"Yong","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felic","family":"Fanusi","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gavin J D","family":"Smith","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eng Eong","family":"Ooi","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shang","family":"Li","sequence":"additional","affiliation":[{"name":"Program in Cancer and Stem Cell Biology, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujoy","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Centre for Computational Biology, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"},{"name":"Laboratory of Computational Biology, Pennington Biomedical Research Center , 6400 Perkins Road, Baton Rouge, LA 70808, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9014-1365","authenticated-orcid":false,"given":"Yaw Shin","family":"Ooi","sequence":"additional","affiliation":[{"name":"Program in Emerging Infectious Diseases, Duke-NUS Medical School , 8 College Road, Singapore 169857, Singapore"},{"name":"A*STAR Infectious Diseases Laboratories (ID Labs) , Agency for Science and Technology Research (A*STAR), 8A Biomedical Grove, #05-13 Immunos, Singapore 138648, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2024,9,18]]},"reference":[{"key":"2024091822302239800_ref1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s43586-021-00093-4","article-title":"High-content CRISPR screening","volume":"2","author":"Bock","year":"2022","journal-title":"Nat Rev Methods Primers"},{"key":"2024091822302239800_ref2","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1038\/nbt.3235","article-title":"Discovery of cancer drug targets by CRISPR-Cas9 screening of protein domains","volume":"33","author":"Shi","year":"2015","journal-title":"Nat Biotechnol"},{"key":"2024091822302239800_ref3","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1038\/nchembio.2050","article-title":"Parallel shRNA and CRISPR-Cas9 screens enable antiviral drug target identification","volume":"12","author":"Deans","year":"2016","journal-title":"Nat Chem 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