Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aurelien Luciani"'
Autor:
Gustavo A Salazar, Aurelien Luciani, Xavier Watkins, Swaathi Kandasaamy, Daniel L Rice, Matthias Blum, Alex Bateman, Maria Martin
Motivation: The visualization of biological data is a fundamental technique that enables researchers to understand and explain biology. Some of these visualizations have become iconic, for instance: tree views for taxonomy, cartoon rendering of 3D pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73367a86ac69a4938cecd6da1e8462b
https://doi.org/10.20944/preprints202305.1797.v1
https://doi.org/10.20944/preprints202305.1797.v1
Autor:
Gustavo A Salazar, Aurelien Luciani, Xavier Watkins, Swaathi Kandasaamy, Daniel L Rice, Matthias Blum, Alex Bateman, Maria Martin
Publikováno v:
Bioinformatics Advances.
Motivation The visualization of biological data is a fundamental technique that enables researchers to understand and explain biology. Some of these visualizations have become iconic, for instance: tree views for taxonomy, cartoon rendering of 3D pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b03d512012a333777d2c6821b7734a
https://doi.org/10.1093/bioadv/vbad064
https://doi.org/10.1093/bioadv/vbad064
Autor:
Fábio Madeira, Emmanuel Boutet, Ursula Hinz, Teresa Batista Neto, Parit Bansal, Manuela Pruess, Kristian B. Axelsen, Arnaud Kerhornou, Cecilia N. Arighi, Lai-Su L. Yeh, Shadab Ahmad, John S. Garavelli, Cathy H. Wu, Florence Jungo, Alan Bridge, Leonardo Gonzales, Sandra Orchard, Patrick Masson, Douglas Teodoro, Maria Jesus Martin, Anne Estreicher, Kamal Chikh Echioukh, Hongzhan Huang, Patrick Ruch, Christian J. A. Sigrist, C. R. Vinayaka, Yvonne Lussi, Anne Morgat, Yongxing Chen, Austra Cukura, Emanuele Alpi, Ramona Britto, Alexandr Ignatchenko, Sylvain Poux, Rizwan Ishtiaq, Lionel Breuza, Jun Fan, Edouard de Castro, Petteri Jokinen, Nicole Redaschi, Darren A. Natale, Daniel Rice, Giuseppe Insana, George Georghiou, Nevila Hyka-Nouspikel, Karen E. Ross, Katie Moulang, Vicente Lara, Arnaud Gos, Michael Tognolli, Alok Mishra, Ivo Pedruzzi, Nidhi Tyagi, Leyla Jael Garcia Castro, Edward Turner, Cristina Casals-Casas, Tunca Doğan, Nadine Gruaz-Gumowski, Chantal Hulo, Maria Livia Famiglietti, Andrew Nightingale, Paul Denny, Lucila Aimo, Rossana Zaru, Vishal Joshi, Alistair MacDougall, Andre Stutz, Penelope Garmiri, Carla Susana Oliveira, Hermann Zellner, Marie-Claude Blatter, Emily H Bowler-Barnett, Philippe Le Mercier, Abdulrahman Hussein, Catherine Rivoire, Tony Sawford, Milagros Rodriguez Lopez, Salvo Paesano, Vladimir Volynkin, Manuela Menchi, Hema Bye-A-Jee, Monica Pozzato, Kati Laiho, Delphine Baratin, Qinghua Wang, Leslie Arminski, Preethi Vasudev, Sangya Pundir, Jian Zhang, Emma Hatton-Ellis, Kate Warner, Lucille Pourcel, Elisabeth Gasteiger, Marc Feuermann, Thierry Lombardot, Jerven Bolleman, Mahdi Mahmoudy, Shyamala Sundaram, Alex Bateman, Xavier Watkins, Rahat Agivetova, Guoying Qi, Peter B. McGarvey, Xavier D. Martin, Chuming Chen, Jie Luo, Ray Coetzee, K Sonesson, Alan Wilter Sousa da Silva, ThankGod Ebenezer, Elena Speretta, Rodrigo Lopez, Elisabeth Coudert, Aurelien Luciani, Vivienne Baillie Gerritsen, Yuqi Wang, M Doche, Michele Magrane, Antonia Lock, Dolnide Dornevil, Sandrine Pilbout, Borisas Bursteinas, Andrea H. Auchincloss, Béatrice A. Cuche, Dushyanth Jyothi, Rabie Saidi, Joseph Sampson, Laure Verbregue, Sebastien Gehant, Guillaume Keller, Shriya Raj, Damien Lieberherr, Ghislaine Argoud-Puy
Publikováno v:
Nucleic acids symposium series, 49(D1):D480-D489
Nucleic Acids Research
Nucleic acids research, Vol. 49, No D1 (2021) pp. D480-D489
Nucleic Acids Research
Nucleic acids research, Vol. 49, No D1 (2021) pp. D480-D489
The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this article, we describe significant updates that we have made over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbc39a701c00fab2f8e9cd325fc3977e
https://repository.publisso.de/resource/frl:6425514
https://repository.publisso.de/resource/frl:6425514
Autor:
Alfredo Smart, Simon C. Potter, Layla Hirsh, Sara El-Gebali, Jaina Mistry, Sean R. Eddy, Matloob Qureshi, Alex Bateman, Aurelien Luciani, Gustavo A. Salazar, Damiano Piovesan, Silvio C. E. Tosatto, Robert D. Finn, Lisanna Paladin, Erik L. L. Sonnhammer, Lorna Richardson
Publikováno v:
Nucleic Acids Research
The last few years have witnessed significant changes in Pfam (https://pfam.xfam.org). The number of families has grown substantially to a total of 17,929 in release 32.0. New additions have been coupled with efforts to improve existing families, inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9af9e91c30529d56a16bdf2fb807f58
https://doi.org/10.1093/nar/gky995
https://doi.org/10.1093/nar/gky995
Publikováno v:
Nucleic Acids Research
The HMMER webserver [http://www.ebi.ac.uk/Tools/hmmer] is a free-to-use service which provides fast searches against widely used sequence databases and profile hidden Markov model (HMM) libraries using the HMMER software suite (http://hmmer.org). The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8fa6324c2fbd0f8eb7dcbd5011c6b8
https://doi.org/10.1093/nar/gky448
https://doi.org/10.1093/nar/gky448
Autor:
Ian Sillitoe, Rodrigo Lopez, Arun Prasad Pandurangan, Christian J. A. Sigrist, Lorna Richardson, Sara El-Gebali, Matloob Qureshi, Hsin-Yu Chang, Nicole Redaschi, Narmada Thanki, Robert D. Finn, Typhaine Paysan-Lafosse, Darren A. Natale, Silvio C. E. Tosatto, Simon C. Potter, Gift Nuka, Huaiyu Mi, Gustavo A. Salazar, Julian Gough, Paul Thomas, David R. Haft, Matthew Fraser, Christine A. Orengo, Alex L. Mitchell, Fábio Madeira, Sebastien Pesseat, Amaia Sangrador-Vegas, Siew-Yit Yong, Catherine Rivoire, Shoshana D. Brown, Aurelien Luciani, Alan Bridge, Peer Bork, Aron Marchler-Bauer, Patricia C. Babbitt, Hongzhan Huang, Matthias Blum, Neil D. Rawlings, Teresa K. Attwood, Ivica Letunic, Granger G. Sutton, Marco Necci
Publikováno v:
Nucleic Acids Research
The InterPro database (http://www.ebi.ac.uk/interpro/) classifies protein sequences into families and predicts the presence of functionally important domains and sites. Here, we report recent developments with InterPro (version 70.0) and its associat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ec0acd1a3c560f08a0d01b4923133e
https://pubmed.ncbi.nlm.nih.gov/30398656
https://pubmed.ncbi.nlm.nih.gov/30398656