Browsing by Author "Carninci, Piero"

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  • Amid, Clara; Frankish, Adam; HAVANA; Aken, Bronwen; Ezkurdia, Iakes; Kokocinski, Felix; Gilbert, James; White, Simon; Carninci, Piero; Gingeras, Thomas R.; Guigó Serra, Roderic; Searle, Stephen; Tress, Michael; Harrow, Jennifer; Hubbard, Tim J. (BioMed Central, 2010)
  • Ramilowski, Jordan A.; Borsari, Beatrice, 1992-; Garrido Martín, Diego, 1992-; Muñoz-Aguirre, Manuel; Nurtdinov, Ramil; Guigó Serra, Roderic; Carninci, Piero (Cold Spring Harbor Laboratory Press (CSHL Press), 2020)
    Long noncoding RNAs (lncRNAs) constitute the majority of transcripts in the mammalian genomes, and yet, their functions remain largely unknown. As part of the FANTOM6 project, we systematically knocked down the expression ...
  • Derrien, Thomas; Johnson, Rory; Bussotti, Giovanni, 1983-; Tanzer, Andrea; Djebali, Sarah; Tilgner, Hagen, 1980-; Guernec, Gregory; Martin, David; Merkel, Angelika; Knowles, David G.; Lagarde, Julien; Veeravalli, Lavanya; Ruan, Xiaoan; Ruan, Yijun; Lassmann, Timo; Carninci, Piero; Brown, James B.; Lipovich, Leonard; González, José M.; Thomas, Mark; Davis, Carrie A.; Shiekhattar, Ramin; Gingeras, Thomas R.; Hubbard, Tim J.; Notredame, Cedric; Harrow, Jennifer; Guigó Serra, Roderic (Cold Spring Harbor Laboratory Press (CSHL Press), 2012)
    The human genome contains many thousands of long noncoding RNAs (lncRNAs). While several studies have demonstrated compelling biological and disease roles for individual examples, analytical and experimental approaches to ...
  • Cheng, Chao; Alexander, Roger; Min, Renqiang; Leng, Jing; Yip, Kevin Y.; Rozowsky, Joel S.; Yan, Koon-Kiu; Dong, Xianjun; Djebali, Sarah; Ruan, Yijun; Davis, Carrie A.; Carninci, Piero; Lassmann, Timo; Gingeras, Thomas R.; Guigó Serra, Roderic; Birney, Ewan; Weng, Zhiping; Snyder, Michael; Gerstein, Mark B. (Cold Spring Harbor Laboratory Press (CSHL Press), 2012)
    Statistical models have been used to quantify the relationship between gene expression and transcription factor (TF) binding signals. Here we apply the models to the large-scale data generated by the ENCODE project to study ...

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