A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis von Bäckdahl, Liselotte, Li, Heng, Jackson, David K, Howe, Kevin L, Tavaré, Simon, Gräf, Stefan, Herrero, Javier, Johnson, Nathan, Durbin, Richard, Thorne, Natalie P, Turner, Daniel J, Tomazou, Eleni M, Miretti, Marcos M, Birney, Ewan, Hubbard, Tim J P, Beck, Stephan, Rakyan, Vardhman K, Herberth, Marlis, Marioni, John C, Down, Thomas A, Flicek, Paul, Kulesha, Eugene

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Dalliance: interactive genome viewing on the web von DOWN, Thomas A, PIIPARI, Matias, HUBBARD, Tim J. P

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Analysis of diagnoses extracted from electronic health records in a large mental health case register von Kovalchuk, Yevgeniya, Stewart, Robert, Broadbent, Matthew, Hubbard, Tim J P, Dobson, Richard J B

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Data growth and its impact on the SCOP database: new developments von Andreeva, Antonina, Howorth, Dave, Chandonia, John-Marc, Brenner, Steven E, Hubbard, Tim J.P, Chothia, Cyrus, Murzin, Alexey G

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Integrating biological data--the Distributed Annotation System von Jenkinson, Andrew M, Albrecht, Mario, Birney, Ewan, Blankenburg, Hagen, Down, Thomas, Finn, Robert D, Hermjakob, Henning, Hubbard, Tim J P, Jimenez, Rafael C, Jones, Philip, Kähäri, Andreas, Kulesha, Eugene, Macías, José R, Reeves, Gabrielle A, Prlić, Andreas

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Large-scale discovery of promoter motifs in Drosophila melanogaster von Down, Thomas A, Bergman, Casey M, Su, Jing, Hubbard, Tim J P

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SCOP database in 2004: refinements integrate structure and sequence family data von Andreeva, Antonina, Howorth, Dave, Brenner, Steven E., Hubbard, Tim J. P., Chothia, Cyrus, Murzin, Alexey G.

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An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs) von Rakyan, Vardhman K, Down, Thomas A, Thorne, Natalie P, Flicek, Paul, Kulesha, Eugene, Gräf, Stefan, Tomazou, Eleni M, Bäckdahl, Liselotte, Johnson, Nathan, Herberth, Marlis, Howe, Kevin L, Jackson, David K, Miretti, Marcos M, Fiegler, Heike, Marioni, John C, Birney, Ewan, Hubbard, Tim J P, Carter, Nigel P, Tavaré, Simon, Beck, Stephan

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Integrating sequence and structural biology with DAS von Prlić, Andreas, Down, Thomas A, Kulesha, Eugene, Finn, Robert D, Kähäri, Andreas, Hubbard, Tim J P

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Characterisation of mental health conditions in social media using Informed Deep Learning von Gkotsis, George, Oellrich, Anika, Velupillai, Sumithra, Liakata, Maria, Hubbard, Tim J. P., Dobson, Richard J. B., Dutta, Rina

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iMotifs: an integrated sequence motif visualization and analysis environment von Piipari, Matias, Down, Thomas A., Saini, Harpreet, Enright, Anton, Hubbard, Tim J.P.

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Computational detection and location of transcription start sites in mammalian genomic DNA von Down, Thomas A, Hubbard, Tim J P

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The Protein Feature Ontology: a tool for the unification of protein feature annotations von Reeves, Gabrielle A., Eilbeck, Karen, Magrane, Michele, O'Donovan, Claire, Montecchi-Palazzi, Luisa, Harris, Midori A., Orchard, Sandra, Jimenez, Rafael C., Prlic, Andreas, Hubbard, Tim J. P., Hermjakob, Henning, Thornton, Janet M.

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Assessing Sequence Comparison Methods with Reliable Structurally Identified Distant Evolutionary Relationships von Brenner, Steven E., Chothia, Cyrus, Tim J. P. Hubbard

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SISYPHUS--structural alignments for proteins with non-trivial relationships von Andreeva, Antonina, Prlić, Andreas, Hubbard, Tim J.P, Murzin, Alexey G

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Mining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives von Gkotsis, George, Mueller, Christoph, Dobson, Richard J.B., Hubbard, Tim J.P., Dutta, Rina

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A machine learning strategy to identify candidate binding sites in human protein-coding sequence von Down, Thomas, Leong, Bernard, Hubbard, Tim J P

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SCOP: a structural classification of proteins database von Hubbard, T.J.P, Ailey, B, Brenner, S.E, Murzin, A.G, Chothia, C

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Automated PDF highlighting to support faster curation of literature for Parkinson’s and Alzheimer’s disease von Wu, Honghan, Oellrich, Anika, Girges, Christine, de Bono, Bernard, Hubbard, Tim J.P., Dobson, Richard J.B.

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Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning von Gkotsis, George, Oellrich, Anika, Velupillai, Sumithra, Liakata, Maria, Hubbard, Tim J P, Dobson, Richard J B, Dutta, Rina

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