The RINGS resource for glycome informatics analysis and data mining on the Web.
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[1] Sean R. Eddy,et al. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids , 1998 .
[2] Minoru Kanehisa,et al. Mining significant tree patterns in carbohydrate sugar chains , 2008, ECCB.
[3] Olivier Bodenreider,et al. The Unified Medical Language System (UMLS): integrating biomedical terminology , 2004, Nucleic Acids Res..
[4] Yoshihiro Yamanishi,et al. Extraction of leukemia specific glycan motifs in humans by computational glycomics. , 2005, Carbohydrate research.
[5] C. W. von der Lieth,et al. LINUCS: linear notation for unique description of carbohydrate sequences. , 2001, Carbohydrate research.
[6] Tatsuya Akutsu,et al. A probabilistic model for mining labeled ordered trees: capturing patterns in carbohydrate sugar chains , 2005, IEEE Transactions on Knowledge and Data Engineering.
[7] M. Kanehisa,et al. Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. , 2003, Journal of the American Chemical Society.
[8] Martin Frank,et al. GLYCOSCIENCES.de: an Internet portal to support glycomics and glycobiology research. , 2006, Glycobiology.
[9] S. Henikoff,et al. Amino acid substitution matrices from protein blocks. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[10] M. Betenbaugh,et al. A mathematical model of N-linked glycosylation. , 2005, Biotechnology and bioengineering.
[11] Kiyoko F. Aoki-Kinoshita. An Introduction to Bioinformatics for Glycomics Research , 2008, PLoS Comput. Biol..
[12] Tatsuya Akutsu,et al. KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chains , 2004, Nucleic Acids Res..
[13] Kiyoko F. Aoki-Kinoshita,et al. KEGG as a glycome informatics resource. , 2006, Glycobiology.
[14] H. Narimatsu,et al. Bioinformatics for comprehensive finding and analysis of glycosyltransferases. , 2006, Biochimica et biophysica acta.
[15] Yaniv Altshuler,et al. Glycoforum a Novel Linear Code ® Nomenclature for Complex Carbohydrates , 2022 .
[16] Kiyoko F. Aoki-Kinoshita,et al. ProfilePSTMM: capturing tree-structure motifs in carbohydrate sugar chains , 2006, ISMB.
[17] Kiyoko F. Aoki-Kinoshita,et al. Frontiers in glycomics: Bioinformatics and biomarkers in disease An NIH White Paper prepared from discussions by the focus groups at a workshop on the NIH campus, Bethesda MD (September 11–13, 2006) , 2008, Proteomics.
[18] Tatsuya Akutsu,et al. A score matrix to reveal the hidden links in glycans , 2005, Bioinform..
[19] C. Lieth,et al. GlycoCT-a unifying sequence format for carbohydrates. , 2008, Carbohydrate research.
[20] Paolo Frasconi,et al. Hidden Tree Markov Models for Document Image Classification , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[21] Wei Lang,et al. Advancing glycomics: implementation strategies at the consortium for functional glycomics. , 2006, Glycobiology.
[22] Thomas Wetter,et al. GlycomeDB – integration of open-access carbohydrate structure databases , 2008, BMC Bioinformatics.
[23] Susumu Goto,et al. Comprehensive analysis of glycosyltransferases in eukaryotic genomes for structural and functional characterization of glycans. , 2009, Carbohydrate research.
[24] Kiyoko F. Aoki-Kinoshita,et al. A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology , 2008, TKDD.
[25] D. V. van Aalten,et al. The structure of siglec-7 in complex with sialosides: leads for rational structure-based inhibitor design. , 2006, The Biochemical journal.