The tidyomics ecosystem: Enhancing omic data analyses

• Published in: bioRxiv
• Main Authors: Hutchison, William J, Keyes, Timothy J, Crowell, Helena L, Serizay, Jacques, Soneson, Charlotte, Davis, Eric S, Sato, Noriaki, Moses, Lambda, Tarlinton, Boyd, Nahid, Abdullah A, Kosmac, Miha, Clayssen, Quentin, Yuan, Victor, Mu, Wancen, Park, Ji-Eun, Mamede, Izabela, Ryu, Min Hyung, Axisa, Pierre-Paul, Paiz, Paulina, Poon, Chi-Lam, Tang, Ming, Gottardo, Raphael, Morgan, Martin, Lee, Stuart, Lawrence, Michael, Hicks, Stephanie C, Nolan, Garry P, Davis, Kara L, Papenfuss, Anthony T, Love, Michael I, Mangiola, Stefano
• Format: Journal Article Paper
• Language: English
• Published: United States Cold Spring Harbor Laboratory 22.05.2024
• Edition: 1.3
• Subjects: Bioinformatics

The growth of omic data presents evolving challenges in data manipulation, analysis, and integration. Addressing these challenges, Bioconductor provides an extensive community-driven biological data analysis platform. Meanwhile, tidy R programming offers a revolutionary standard for data organisatio...