Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dominik Achten"'
Autor:
Esmeralda Vicedo, Christian Schaefer, Stefanie Kaufmann, Rebecca Kassner, Tatjana Braun, Thomas A. Hopf, Burkhard Rost, Manfred Roos, Cedric Landerer, Ariane Boehm, Denis Krompass, Florian Auer, Michael Kiening, Yannick Mahlich, Peter Hönigschmid, Maximilian Hecht, Mark Heron, Dominik Achten, Stefan Seemayer, Tobias Hamp
Publikováno v:
BMC Bioinformatics
Background Any method that de novo predicts protein function should do better than random. More challenging, it also ought to outperform simple homology-based inference. Methods Here, we describe a few methods that predict protein function exclusivel
Autor:
Christine A. Orengo, Liang Lan, Daniel W. A. Buchan, Jeffrey M. Yunes, Alberto Paccanaro, Yannick Mahlich, Enrico Lavezzo, Patricia C. Babbitt, Domenico Cozzetto, Cedric Landerer, Jari Björne, Esmeralda Vicedo, Robert Rentzsch, Rajendra Joshi, Hagit Shatkay, Nives Škunca, Zheng Wang, Tal Ronnen Oron, Ingolf Sommer, Amos Marc Bairoch, Mark Heron, Panče Panov, Daisuke Kihara, Wyatt T. Clark, Michael J.E. Sternberg, Steven E. Brenner, Sašo Džeroski, Burkhard Rost, Christian Schaefer, Karin Verspoor, Harshal Inamdar, Tapio Salakoski, Meghana Chitale, Alfonso E. Romero, Julian Gough, Fran Supek, Olivier Lichtarge, Dominik Achten, Serkan Erdin, Michael Kiening, Petri Törönen, Avik Datta, Iddo Friedberg, Thomas A. Hopf, Liisa Holm, Rita Casadio, Asa Ben-Hur, Tatjana Braun, Sean D. Mooney, Marco Falda, Kiley Graim, Michal Linial, Alexandra M. Schnoes, Christopher S. Funk, Rebecca Kaßner, Patrik Koskinen, Nemanja Djuric, Paolo Fontana, Predrag Radivojac, Tobias Wittkop, Kevin Bryson, Maximilian Hecht, Susanna Repo, Haixuan Yang, Artem Sokolov, Prajwal Bhat, Tobias Hamp, Jianlin Cheng, Mark N. Wass, Gaurav Pandey, Michael L Souza, Damiano Piovesan, Ameet Talwalkar, Stefan Seemayer, Eric Venner, Sunitha K Manjari, Fanny Gatzmann, Aalt D. J. van Dijk, Manfred Roos, Tomislav Šmuc, David T. Jones, Peter Hönigschmid, Ariane Boehm, Florian Auer, Jussi Nokso-Koivisto, Stefano Toppo, Slobodan Vucetic, Denis Krompass, Qingtian Gong, Cajo J. F. ter Braak, Andrew Wong, Barbara Di Camillo, Yiannis A. I. Kourmpetis, Andreas Martin Lisewski, Matko Bošnjak, Bhakti Limaye, Weidong Tian, Yuhong Guo, Xinran Dong, Hai Fang, Yuanpeng Zhou, Stefanie Kaufmann
Publikováno v:
Nature Methods
Nature methods
Nature Methods : techniques for life scientists and chemists 10 (2013)
Nature Methods : techniques for life scientists and chemists, 10, 221-227
Nature Methods, Vol. 10, No 3 (2013) pp. 221-7
Nature methods
Nature Methods : techniques for life scientists and chemists 10 (2013)
Nature Methods : techniques for life scientists and chemists, 10, 221-227
Nature Methods, Vol. 10, No 3 (2013) pp. 221-7
Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are to be relied upon, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19e166af084819ee544097527791f10
http://hdl.handle.net/10449/22010
http://hdl.handle.net/10449/22010
Publikováno v:
BMC Genomics
Background Non-synonymous single nucleotide polymorphisms (nsSNPs) alter the protein sequence and can cause disease. The impact has been described by reliable experiments for relatively few mutations. Here, we study predictions for functional impact