Empirical Analysis of Transcriptional Activity in the Arabidopsis Genome

Autor: Matthew Tripp, Nancy F. Hansen, Qimin Chao, Mani Gurjal, Carolyn C. Tang, Shelise Brooks, Maiko Nakajima, Motoaki Seki, Audrey Southwick, Hank C. Wu, Ronald W. Davis, Cecilia Wong, Rosa Cheuk, Yuki Yamamura, Michelle Nguyen, Kazuo Shinozaki, Andrew D. Goldsmith, Marie M. H. Chan, Christopher Kim, Joseph R. Ecker, Eric Koesema, Kayoko Yamada, Akiko Enju, Yoshihide Hayashizaki, Chanda Johnson-Hopson, Charlie H. Chang, Erika Wallender, Tetsuya Sakurai, Justine M. Deng, Paul Shinn, Vickie Hsuan, Takahiro Arakawa, Kei Iida, Asako Kamiya, Huaming Chen, Masakazu Satou, Shirley X. Liu, Bao Lam, Joseph M. Dale, Courtney Onodera, Meagan Karnes, Jun Lim, Racquel Tamse, Jenny Banh, Shiaulou Yuan, George Karlin-Newmann, Nathan Choy, Ted Jones, Paul X. Jiang, Troy Wu, Leah Bowser, Junko Ishida, Yasser Ansari, Kenji Akiyama, Guixia Yu, Maria Vaysberg, Mitsue J. Toriumi, Jeong M. Lee, Paul K. Pham, Cristina C. Meyers, Curtis J. Palm, Piero Carninci, Hitomi Sakano, Molly Miranda, Hong L. Quach, Mari Narusaka, Jun Kawai, Fumika Banno, Shehnaz Khan, Athanasios Theologis

Publikováno v: ResearcherID

Functional analysis of a genome requires accurate gene structure information and a complete gene inventory. A dual experimental strategy was used to verify and correct the initial genome sequence annotation of the reference plant Arabidopsis . Sequen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4879004fddd041dab01a5c2f667bae9
https://doi.org/10.1126/science.1088305