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comparison tools/protein_analysis/tmhmm2.xml @ 32:20da7f48b56f draft

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author peterjc
date Thu, 17 Jun 2021 08:19:32 +0000
parents 6d9d7cdf00fc
children 7a2e20baacee
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31:3c9bbbc6cbbe 32:20da7f48b56f
93 cite the following papers: 93 cite the following papers:
94 94
95 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013). 95 Peter J.A. Cock, Björn A. Grüning, Konrad Paszkiewicz and Leighton Pritchard (2013).
96 Galaxy tools and workflows for sequence analysis with applications 96 Galaxy tools and workflows for sequence analysis with applications
97 in molecular plant pathology. PeerJ 1:e167 97 in molecular plant pathology. PeerJ 1:e167
98 http://dx.doi.org/10.7717/peerj.167 98 https://doi.org/10.7717/peerj.167
99 99
100 Krogh, Larsson, von Heijne, and Sonnhammer (2001). 100 Krogh, Larsson, von Heijne, and Sonnhammer (2001).
101 Predicting Transmembrane Protein Topology with a Hidden Markov Model: Application to Complete Genomes. 101 Predicting Transmembrane Protein Topology with a Hidden Markov Model: Application to Complete Genomes.
102 J. Mol. Biol. 305:567-580. 102 J. Mol. Biol. 305:567-580.
103 http://dx.doi.org/10.1006/jmbi.2000.4315 103 https://doi.org/10.1006/jmbi.2000.4315
104 104
105 Sonnhammer, von Heijne, and Krogh (1998). 105 Sonnhammer, von Heijne, and Krogh (1998).
106 A hidden Markov model for predicting transmembrane helices in protein sequences. 106 A hidden Markov model for predicting transmembrane helices in protein sequences.
107 In J. Glasgow et al., eds.: Proc. Sixth Int. Conf. on Intelligent Systems for Molecular Biology, pages 175-182. AAAI Press. 107 In J. Glasgow et al., eds.: Proc. Sixth Int. Conf. on Intelligent Systems for Molecular Biology, pages 175-182. AAAI Press.
108 http://www.ncbi.nlm.nih.gov/pubmed/9783223 108 http://www.ncbi.nlm.nih.gov/pubmed/9783223