Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Andrew B. Clegg"'
Autor:
Ana M Rojas, Anna Santamaria, Rainer Malik, Thomas Skøt Jensen, Roman Körner, Ian Morilla, David de Juan, Martin Krallinger, Daniel Aaen Hansen, Robert Hoffmann, Jonathan Lees, Adam Reid, Corin Yeats, Anja Wehner, Sabine Elowe, Andrew B Clegg, Søren Brunak, Erich A Nigg, Christine Orengo, Alfonso Valencia, Juan A G Ranea
Publikováno v:
PLoS ONE, Vol 7, Iss 3, p e31813 (2012)
The mitotic spindle is an essential molecular machine involved in cell division, whose composition has been studied extensively by detailed cellular biology, high-throughput proteomics, and RNA interference experiments. However, because of its dynami
Externí odkaz:
https://doaj.org/article/70153f80d41f49f28dad5fc2de9963d1
Autor:
Juan A G Ranea, Ian Morilla, Jon G Lees, Adam J Reid, Corin Yeats, Andrew B Clegg, Francisca Sanchez-Jimenez, Christine Orengo
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 9, p e1000945 (2010)
Accurate modelling of biological systems requires a deeper and more complete knowledge about the molecular components and their functional associations than we currently have. Traditionally, new knowledge on protein associations generated by experime
Externí odkaz:
https://doaj.org/article/813a90230727425789f66e5449ad6241
Publikováno v:
PLoS ONE, Vol 5, Iss 6, p e10908 (2010)
In order to understand how biological systems function it is necessary to determine the interactions and associations between proteins. Gene fusion prediction is one approach to detection of such functional relationships. Its use is however known to
Externí odkaz:
https://doaj.org/article/7836834b74f64f458fea01b86bc6afa9
Autor:
Marialuisa Pellegrini-Calace, Robert Rentzsch, Tony E. Lewis, Ian Sillitoe, Nicholas Furnham, David T. Jones, Alison L. Cuff, Christine A. Orengo, Janet M. Thornton, Andrew B. Clegg
Publikováno v:
Nucleic Acids Research
CATH version 3.3 (class, architecture, topology, homology) contains 128,688 domains, 2386 homologous superfamilies and 1233 fold groups, and reflects a major focus on classifying structural genomics (SG) structures and transmembrane proteins, both of
Publikováno v:
Nucleic Acids Research
Over the last 2 years the Gene3D resource has been significantly improved, and is now more accurate and with a much richer interactive display via the Gene3D website (http://gene3d.biochem.ucl.ac.uk/). Gene3D provides accurate structural domain famil
Autor:
Teresa K. Attwood, Philip McDermott, Steve Pettifer, David G. Pisano, Gert Vriend, Edita Bartaseviciute, Inge Jonassen, Dave Thorne, Jon Ison, Kristoffer Rapacki, Jean Salzemann, Matúš Kalaš, Inb Partners, Vincent Breton, Andrew B. Clegg, Olivier Sand, Mahmut Uludag, Heinz Stockinger, Ali Liaquat, Graham Cameron, Maarten L. Hekkelman, Christophe Blanchet, José M. Fernández, Peter Rice, Erik Bongcam-Rudloff, Jose Manuel Rodriguez
Publikováno v:
Nucleic Acids Research, 38, W683-8
Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, 2010, 38, pp.W683-W688. ⟨10.1093/nar/gkq297⟩
Nucleic acids research, 38 (SUPPL. 2
Nucleic Acids Research, 2010, 38, pp.W683-W688. ⟨10.1093/nar/gkq297⟩
Pettifer, S, Ison, J, Kalas, M, Thorne, D, McDermott, P, Jonassen, I, Liaquat, A, Fernández, J M, Rodriguez, J M, Partners, INB, Pisano, D G, Blanchet, C, Uludag, M, Rice, P, Bartaseviciute, E, Rapacki, K, Hekkelman, M, Sand, O, Stockinger, H, Clegg, A B, Bongcam-Rudloff, E, Salzemann, J, Breton, V, Attwood, T K, Cameron, G & Vriend, G 2010, ' The EMBRACE web service collection ', Nucleic Acids Research, vol. 38, no. Suppl. 2, pp. W683-W688 . https://doi.org/10.1093/nar/gkq297
Nucleic Acids Research, 38, Web Server issue, pp. W683-8
Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, 2010, 38, pp.W683-W688. ⟨10.1093/nar/gkq297⟩
Nucleic acids research, 38 (SUPPL. 2
Nucleic Acids Research, 2010, 38, pp.W683-W688. ⟨10.1093/nar/gkq297⟩
Pettifer, S, Ison, J, Kalas, M, Thorne, D, McDermott, P, Jonassen, I, Liaquat, A, Fernández, J M, Rodriguez, J M, Partners, INB, Pisano, D G, Blanchet, C, Uludag, M, Rice, P, Bartaseviciute, E, Rapacki, K, Hekkelman, M, Sand, O, Stockinger, H, Clegg, A B, Bongcam-Rudloff, E, Salzemann, J, Breton, V, Attwood, T K, Cameron, G & Vriend, G 2010, ' The EMBRACE web service collection ', Nucleic Acids Research, vol. 38, no. Suppl. 2, pp. W683-W688 . https://doi.org/10.1093/nar/gkq297
Nucleic Acids Research, 38, Web Server issue, pp. W683-8
The EMBRACE (European Model for Bioinformatics Research and Community Education) web service collection is the culmination of a 5-year project that set out to investigate issues involved in developing and deploying web services for use in the life sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b59287f413f6df20826e960a6ee1093
http://hdl.handle.net/2066/89021
http://hdl.handle.net/2066/89021
Autor:
Francisca Sánchez-Jiménez, Adam J. Reid, Andrew B. Clegg, Ian Morilla, Christine A. Orengo, Jonathan G. Lees, Juan A. G. Ranea, Corin Yeats
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 6, Iss 9 (2010)
PLoS Computational Biology, Vol 6, Iss 9 (2010)
Accurate modelling of biological systems requires a deeper and more complete knowledge about the molecular components and their functional associations than we currently have. Traditionally, new knowledge on protein associations generated by experime
Autor:
Andrew J. Martin, Lisa E. M. McMillan, Corin Yeats, Andrew B. Clegg, Anja Barešić, Christine A. Orengo, Jose M. G. Izarzugaza, Alfonso Valencia
Publikováno v:
BMC Bioinformatics
Background\ud The phenotypic effects of sequence variations in protein-coding regions come about primarily via their effects on the resulting structures, for example by disrupting active sites or affecting structural stability. In order better to und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3cef1857301b2fc9cec6af4868c61fe
http://hdl.handle.net/10044/1/28010
http://hdl.handle.net/10044/1/28010
Autor:
Andrew B, Clegg, Adrian J, Shepherd
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 453
One of the fastest-growing fields in bioinformatics is text mining: the application of natural language processing techniques to problems of knowledge management and discovery, using large collections of biological or biomedical text such as MEDLINE.
Autor:
Andrew B. Clegg, Adrian J. Shepherd
Publikováno v:
Bioinformatics ISBN: 9781603274289
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c25fb7a2ce23d547d3c8e27e7ed06d03
https://doi.org/10.1007/978-1-60327-429-6_25
https://doi.org/10.1007/978-1-60327-429-6_25