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Titlebook: A Practical Guide to Using Glycomics Databases; Kiyoko F. Aoki-Kinoshita Book 2017 Springer Japan 2017 Databases.Glycoscience.Glycobiology

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發(fā)表于 2025-3-21 17:48:08 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱A Practical Guide to Using Glycomics Databases
影響因子2023Kiyoko F. Aoki-Kinoshita
視頻videohttp://file.papertrans.cn/142/141835/141835.mp4
發(fā)行地址Gives step-by-step instructions on how to use each database to obtain a particular objective, helping readers to quickly learn to use the relevant database for their research.Is written by the develop
圖書封面Titlebook: A Practical Guide to Using Glycomics Databases;  Kiyoko F. Aoki-Kinoshita Book 2017 Springer Japan 2017 Databases.Glycoscience.Glycobiology
影響因子.This book provides glycoscientists with a handbook of useful databases that can be applied to glycoscience research. Although many databases are now publicly available, one of the hurdles for their users is the learning curve required to effectively utilize those databases. Therefore, this book not only describes the existing databases, but also provides tips on how to obtain the target data. That is, because many databases provide a variety of data that could be obtained from different perspectives, each chapter provides users with potential biological questions that can be answered by a particular database and step-by-step instructions, with figures, on how to obtain that data. Troubleshooting tips are also provided to aid users encountering problems that can be predicted when using these databases. Moreover, contact information for each database is provided in case unexpected issues arise..
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Using BCI and VR Technology in Neurogaming,w cells “talk” to each other. In particular, the sugar molecules that decorate the surface of every cell are being targeted for the development of new drugs, new imaging techniques and new antibiotics.
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Construction of Statistically Similar RVEs, structures is required for an efficient use of multiple resources and for data exchange. A major problem for translations is residue notation, because individual notations use different names to encode the same residues, and the number of different monosaccharides is too large to quickly build a tr
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Analysis and Continuum Mechanicsological properties of higher organisms, as well as application of glycans as diagnostic and therapeutic agents and classification of natural glycans and glycoconjugates. These goals are hardly achievable without freely available, regularly updated, and cross-linked databases, which provide data acc
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https://doi.org/10.1007/978-94-015-9436-3l protein domains). The CAZy database offers since 1998 an online and continuously updated classification of CAZyme modules (Lombard et al. 2014). Each module family in the CAZy classification has been created based on experimentally characterized protein modules from the literature, and the familie
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