Su, Zhenqiang;Labaj, Pawel P.;Li, Sheng;Thierry-Mieg, Jean;Thierry-Mieg, Danielle;Shi, Wei;Wang, Charles;Schroth, Gary P.;Setterquist, Robert A.;Thompson, John F.;Jones, Wendell D.;Xiao, Wenzhong;Xu, Weihong;Jensen, Roderick V.;Kelly, Reagan;Xu, Joshua;Conesa, Ana;Furlanello, Cesare;Gao, Hanlin;Hong, Huixiao;Jafari, Nadereh;Letovsky, Stan;Liao, Yang;Lu, Fei;Oakeley, Edward J.;Peng, Zhiyu;Praul, Craig A.;Santoyo-Lopez, Javier;Scherer, Andreas;Shi, Tieliu;Smyth, Gordon K.;Staedtler, Frank;Sykacek, Peter;Tan, Xin-Xing;Thompson, E. Aubrey;Vandesompele, Jo;Wang, May D.;Wang, Jian;Wolfinger, Russell D.;Zavadil, Jiri;Auerbach, Scott S.;Bao, Wenjun;Binder, Hans;Blomquist, Thomas;Brilliant, Murray H.;Bushel, Pierre R.;Cain, Weimin;Catalano, Jennifer G.;Chang, Ching-Wei;Chen, Tao;Chen, Geng;Chen, Rong;Chierici, Marco;Chu, Tzu-Ming;Clevert, Djork-Arne;Deng, Youping;Derti, Adnan;Devanarayan, Viswanath;Dong, Zirui;Dopazo, Joaquin;Du, Tingting;Fang, Hong;Fang, Yongxiang;Fasold, Mario;Fernandez, Anita;Fischer, Matthias;Furio-Tari, Pedro;Fuscoe, James C.;Caimet, Florian;Gaj, Stan;Gandara, Jorge;Gao, Huan;Ge, Weigong;Gondo, Yoichi;Gong, Binsheng;Gong, Meihua;Gong, Zhuolin;Green, Bridgett;Guo, Chao;Guo, Lei;Guo, Li-Wu;Hadfield, James;Hellemans, Jan;Hochreiter, Sepp;Jia, Meiwen;Jian, Min;Johnson, Charles D.;Kay, Suzanne;Kleinjans, Jos;Lababidi, Samir;Levy, Shawn;Li, Quan-Zhen;Li, Li;Li, Li;Li, Peng;Li, Yan;Li, Haiqing;Li, Jianying;Li, Shiyong;Lin, Simon M.;Lopez, Francisco J.;Lu, Xin;Luo, Heng;Ma, Xiwen;Meehan, Joseph;Megherbi, Dalila B.;Mei, Nan;Mu, Bing;Ning, Baitang;Pandey, Akhilesh;Perez-Florido, Javier;Perkins, Roger G.;Peters, Ryan;Phan, John H.;Pirooznia, Mehdi;Qian, Feng;Qing, Tao;Rainbow, Lucille;Rocca-Serra, Philippe;Sambourg, Laure;Sansone, Susanna-Assunta;Schwartz, Scott;Shah, Ruchir;Shen, Jie;Smith, Todd M.;Stegle, Oliver;Stralis-Pavese, Nancy;Stupka, Elia;Suzuki, Yutaka;Szkotnicki, Lee T.;Tinning, Matthew;Tu, Bimeng;van Deft, Joost;Vela-Boza, Alicia;Venturini, Elisa;Walker, Stephen J.;Wan, Liqing;Wang, Wei;Wang, Jinhui;Wang, Jun;Wieben, Eric D.;Willey, James C.;Wu, Po-Yen;Xuan, Jiekun;Yang, Yong;Ye, Zhan;Yin, Ye;Yu, Ying;Yuan, Yate-Ching;Zhang, John;Zhang, Ke K.;Zhang, Wenqian;Zhang, Wenwei;Zhang, Yanyan;Zhao, Chen;Zheng, Yuanting;Zhou, Yiming;Zumbo, Paul;Tong, Weida;Kreil, David P.;Mason, Christopher E.;Shi, Leming
Document(s)
Title
Here we present the results of a large-scale bioinformatics annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avia...
High-throughput sequencing techniques have made it possible to assay an organism's entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide...
BACKGROUND: The brightness of the probe spots on expression microarrays intends to measure the abundance of specific mRNA targets. Probes with runs of at least three guanines (G) in their sequence show abnormal high intensities which reflect rather p...
Small non-coding RNAs (ncRNAs) such as microRNAs, snoRNAs and tRNAs are a diverse collection of molecules with several important biological functions. Current methods for high-throughput sequencing for the first time offer the opportunity to investig...
Here we present the results of a large-scale bioinformatics annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avia...