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Статті в журналах з теми "Biomolecular Visualization"
DOI, Junta. "Biomolecular Visualization." Journal of the Visualization Society of Japan 10, no. 39 (1990): 222–27. http://dx.doi.org/10.3154/jvs.10.222.
Повний текст джерелаDuncan, Bruce S., Tom J. Macke, and Arthur J. Olson. "Biomolecular visualization using AVS." Journal of Molecular Graphics 13, no. 5 (October 1995): 271–82. http://dx.doi.org/10.1016/0263-7855(95)00067-4.
Повний текст джерелаSong, Cheng Long, Chen Zou, Wen Ke Wang, and Si Kun Li. "An Integrated Framework for Biological Data Visualization." Advanced Materials Research 846-847 (November 2013): 1145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1145.
Повний текст джерелаPerlasca, Paolo, Marco Frasca, Cheick Tidiane Ba, Jessica Gliozzo, Marco Notaro, Mario Pennacchioni, Giorgio Valentini, and Marco Mesiti. "Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools." PLOS ONE 15, no. 12 (December 22, 2020): e0244241. http://dx.doi.org/10.1371/journal.pone.0244241.
Повний текст джерелаXie, Jiang, Zhonghua Zhou, Kai Lu, Luonan Chen, and Wu Zhang. "Visualization of biomolecular networks' comparison on cytoscape." Tsinghua Science and Technology 18, no. 5 (October 2013): 515——521. http://dx.doi.org/10.1109/tst.2013.6616524.
Повний текст джерелаHe, Weiwei, Yen-Lin Chen, Serdal Kirmizialtin, and Lois Pollack. "Visualization of biomolecular structures by WAXS and MD." Acta Crystallographica Section A Foundations and Advances 77, a1 (July 30, 2021): a124. http://dx.doi.org/10.1107/s0108767321098755.
Повний текст джерелаYi Ronggui, Xie Jiang, Zhang Huiran, Zhang Wu, and Shigeo Kawata. "BNVC: A Web-Oriented Biomolecular Network Visualization Platform." Journal of Next Generation Information Technology 4, no. 3 (May 31, 2013): 151–59. http://dx.doi.org/10.4156/jnit.vol4.issue3.18.
Повний текст джерелаKozlíková, B., M. Krone, M. Falk, N. Lindow, M. Baaden, D. Baum, I. Viola, J. Parulek, and H. C. Hege. "Visualization of Biomolecular Structures: State of the Art Revisited." Computer Graphics Forum 36, no. 8 (November 18, 2016): 178–204. http://dx.doi.org/10.1111/cgf.13072.
Повний текст джерелаAndo, Toshio, Takayuki Uchihashi, Noriyuki Kodera, Daisuke Yamamoto, Atsushi Miyagi, Masaaki Taniguchi, and Hayato Yamashita. "High-speed AFM and nano-visualization of biomolecular processes." Pflügers Archiv - European Journal of Physiology 456, no. 1 (December 20, 2007): 211–25. http://dx.doi.org/10.1007/s00424-007-0406-0.
Повний текст джерелаYou, Qian, Shiaofen Fang, and Jake Yue Chen. "Gene Terrain: Visual Exploration of Differential Gene Expression Profiles Organized in Native Biomolecular Interaction Networks." Information Visualization 9, no. 1 (March 6, 2008): 1–12. http://dx.doi.org/10.1057/ivs.2008.3.
Повний текст джерелаДисертації з теми "Biomolecular Visualization"
Heberle, Henry. "Uma abordagem visual para análise comparativa de redes biomoleculares com apoio de diagramas de Venn." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032015-115427/.
Повний текст джерелаBiological systems can be represented by networks that store not only connectivity information, but also node feature information. In the context of molecular biology, these nodes may represent proteins, metabolites, and other types of molecules. Each molecule has features annotated and stored in databases such as Gene Ontology. A visual comparison of networks requires tools that allow the user to identify differences and similarities between nodes attributes as well as known interactions between nodes (connections). In this dissertation, we sought to develop a technique that would facilitate the comparison of these biological networks, striving to maintain in the process the visualization of the network connectivities. As a result, we have developed the VisPipeline-MultiNetwork tool, which allows comparison of up to six networks, using sets of operations on networks and on their attributes. Unlike most known tools for visualizing biological networks, VisPipeline-MultiNetwork allows the creation of networks whose attributes are derived from the original networks through operations of union, intersection and unique values. A visual comparison of the networks is achieved by visualizing the outcome of such joint operations through a all-in-one comparison method. The comparison of nodes attributes is performed using Venn diagrams. To assist this type of comparison, the InteractiVenn technique was developed, in which the user can interact with a Venn diagram, performing union operations between sets and their corresponding diagrams. This diagram union feature differs from other tools available for creating Venn diagrams. With these tools, users manage to compare networks from different perspectives. To exemplify the use of VisPipeline-MultiNetwork, two case studies were carried out in the biomolecular context. Additionally, a web tool for comparing lists of strings by means of Venn diagrams was made available. It also implements the InteractiVenn technique and its site has been named InteractiVenn.
Andrei, Raluca Mihaela. "Intuitive visualization of surface properties of biomolecules." Doctoral thesis, Scuola Normale Superiore, 2012. http://hdl.handle.net/11384/85945.
Повний текст джерелаBivall, Petter. "Touching the Essence of Life : Haptic Virtual Proteins for Learning." Doctoral thesis, Linköpings universitet, Medie- och Informationsteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58994.
Повний текст джерелаLjunglöf, Anders. "Direct observation of biomolecule adsorption and spatial distribution of functional groups in chromatographic adsorbent particles." Doctoral thesis, Uppsala University, Surface Biotechnology, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-1602.
Повний текст джерелаConfocal microscopy has been used as a tool for studying adsorption of biomolecules to individual chromatographic adsorbent particles. By coupling a fluorescent dye to protein molecules, their penetration into single adsorbent particles could be observed visually at different times during batch uptake. By relating the relative fluorescence intensity obtained at different times to the value at equilibrium, the degree of saturation versus time could be constructed. The use of two different fluorescent dyes for protein labeling and two independent detectors, allowed direct observation of a two-component adsorption process. The confocal technique was also applied for visualization of nucleic acids. Plasmid DNA and RNA were visualized with fluorescent probes that binds to double stranded DNA and RNA respectively. Confocal measurements following single component adsorption to ion exchange particles, revealed an interesting phenomenon. Under certain experimental conditions, development of "inner radial concentration rings" (i.e. adsorbed phase concentrations that are higher at certain radial positions within the particle) were observed. Some examples are given that show how such concentration rings are formed within a particle.
Methods were also developed for measurement of the spatial distribution of immobilized functional groups. Confocal microscopy was used to investigate the immobilization of trypsin on porous glycidyl methacrylate beads. Artefacts relating to optical length differences could be reduced by use of "contrast matching". Confocal microscopy and confocal micro-Raman spectroscopy, were used to analyze the spatial distribution of IgG antibodies immobilized on BrCN-activated agarose beads. Both these measurement methods indicate an even ligand distribution. Finally, confocal Raman and fluorescence spectroscopy was applied for measurement of the spatial distribution of iminodiacetic- and sulphopropyl groups, using Nd3+ ions as fluorescent probes. Comparison of different microscope objectives showed that an immersion objective should be used for measurement of wet adsorbent particles.
Direct experimental information from the interior of individual adsorbent particles will increase the scientific understanding of intraparticle mass transport and adsorption mechanisms, and is an essential step towards the ultimate understanding of the behaviour of chromatographic adsorbents.
Sun, Xinyu. "The Control and Visualization of Intermolecular Interactions in Self-Assembly: From Star-Like and Dendron-Like Ionic Hybrid Macromolecules to Biomolecules." University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron161980047445729.
Повний текст джерелаKing, Ji-Jao, and 金繼昭. "Virtual Visualization of Biomolecules with Chromatic Anaglyph in Personal Computer." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/66307541488158333566.
Повний текст джерела國立中興大學
分子生物研究所
85
The relationship of macro biomolecular structure and function is veryimportant in the biological and biochemical system. Because of macrobiomolecular complexity, it is difficult to observe and analyze their threedimension conformations and quaternary structures. In order to solve theseproblems, we can use picture presentation to study and compare the structuresof macro biomolecules such as proteins and nucleic acids. The Protein Data Bank (PDB) archive of the Brookhaven National Laboratory( BNL) is a computer-based archival file for macromolecular structures. The Bankstores in a uniform format atomic coordinates and partial bond connectivities,as derived from crystallographic and NMR studies. For a number of years, thePDB has been available on the internet for access via FTP, more recentlythrough Gopher, and now via WWW. These tools provided access to the individualentries of PDB and allowed limited searches of the data bank. We develop a personal computer based program which can read in molecularcoordinate files in PDB formats and interactively displays the molecule on themonitor screen. This program is written in the Visual Basic language and usesthe Windows graphics user interface. The Program can run on IBM PC compatiblepersonal computers under Microsoft Windows 3.X, Windows 95 and Windows NTsystems. This program uses chromatic anaglyph method to display stereo macrobiomolecular structures. Using this program, each macro biomolecule can beviewed in three dimensional model and can be moved, scaled and rotated aboutthree orthogonal axes.
(11198013), Kevin Wee. "Creation, deconstruction, and evaluation of a biochemistry animation about the role of the actin cytoskeleton in cell motility." Thesis, 2021.
Знайти повний текст джерелаExternal representations (ERs) used in science education are multimodal ensembles consisting of design elements to convey educational meanings to the audience. As an example of a dynamic ER, an animation presenting its content features (i.e., scientific concepts) via varying the feature’s depiction over time. A production team invited the dissertation author to inspect their creation of a biochemistry animation about the role of the actin cytoskeleton in cell motility and the animation’s implication on learning. To address this, the author developed a four-step methodology entitled the Multimodal Variation Analysis of Dynamic External Representations (MVADER) that deconstructs the animation’s content and design to inspect how each content feature is conveyed via the animation’s design elements.
This dissertation research investigated the actin animation’s educational value and the MVADER’s utility in animation evaluation. The research design was guided by descriptive case study methodology and an integrated framework consisting of the variation theory, multimodal analysis, and visual analytics. As stated above, the animation was analyzed using MVADER. The development of the actin animation and the content features the production team members intended to convey via the animation were studied by analyzing the communication records between the members, observing the team meetings, and interviewing the members individually. Furthermore, students’ learning experiences from watching the animation were examined via semi-structured interviews coupled with post- storyboarding. Moreover, the instructions of MVADER and its applications in studying the actin animation were reviewed to determine the MVADER’s usefulness as an animation evaluation tool.
Findings of this research indicate that the three educators in the production team intended the actin animation to convey forty-three content features to the undergraduate biology students. At least 50% of the student who participated in this thesis learned thirty-five of these forty-three (> 80%) features. Evidence suggests that the animation’s effectiveness to convey its features was associated with the features’ depiction time, the number of identified design elements applied to depict the features, and the features’ variation of depiction over time.
Additionally, one-third of the student participants made similar mistakes regarding two content features after watching the actin animation: the F-actin elongation and the F-actin crosslink structure in lamellipodia. The analysis reveals the animation’s potential design flaws that might have contributed to these common misconceptions. Furthermore, two disruptors to the creation process and the educational value of the actin animation were identified: the vagueness of the learning goals and the designer’s placement of the animation’s beauty over its reach to the learning goals. The vagueness of the learning goals hampered the narration scripting process. On the other hand, the designer’s prioritization of the animation’s aesthetic led to the inclusion of a “beauty shot” in the animation that caused students’ confusion.
MVADER was used to examine the content, design, and their relationships in the actin animation at multiple aspects and granularities. The result of MVADER was compared with the students’ learning outcomes from watching the animation to identify the characteristics of content’s depiction that were constructive and disruptive to learning. These findings led to several practical recommendations to teach using the actin animation and create educational ERs.
To conclude, this dissertation discloses the connections between the creation process, the content and design, and the educational implication of a biochemistry animation. It also introduces MVADER as a novel ER analysis tool to the education research and visualization communities. MVADER can be applied in various formats of static and dynamic ERs and beyond the disciplines of biology and chemistry.
Книги з теми "Biomolecular Visualization"
Wang, Jason T. L., Bruce A. Shapiro, and Dennis Shasha, eds. Pattern Discovery in Biomolecular Data. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195119404.001.0001.
Повний текст джерелаЧастини книг з теми "Biomolecular Visualization"
Natarajan, Vijay, Patrice Koehl, Yusu Wang, and Bernd Hamann. "Visual Analysis of Biomolecular Surfaces." In Mathematics and Visualization, 237–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72630-2_14.
Повний текст джерелаHalm, Andreas, Eva Eggeling, and Dieter W. Fellner. "Embedding Biomolecular Information in a Scene Graph System." In Mathematics and Visualization, 249–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-21608-4_14.
Повний текст джерелаSimmerling, Carlos, Ron Elber, and Jing Zhang. "MOIL-View — A Program for Visualization of Structure and Dynamics of Biomolecules and STO — A Program for Computing Stochastic Paths." In Modelling of Biomolecular Structures and Mechanisms, 241–65. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0497-5_20.
Повний текст джерелаEndo, Masayuki. "Single-Molecule Visualization of Biomolecules in the Designed DNA Origami Nanostructures Using High-Speed Atomic Force Microscopy." In Modified Nucleic Acids in Biology and Medicine, 403–27. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34175-0_17.
Повний текст джерелаAgamennone, Mariangela, Alessandro Nicoli, Sebastian Bayer, Verena Weber, Luca Borro, Shailendra Gupta, Marialuigia Fantacuzzi, and Antonella Di Pizio. "Protein-protein interactions at a glance: Protocols for the visualization of biomolecular interactions." In Biomolecular Interactions Part A, 271–307. Elsevier, 2021. http://dx.doi.org/10.1016/bs.mcb.2021.06.012.
Повний текст джерелаShrestha, Bindesh. "Visualization in imaging mass spectrometry." In Introduction to Spatial Mapping of Biomolecules by Imaging Mass Spectrometry, 119–28. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-818998-6.00003-6.
Повний текст джерелаCosta, Everton Ricardo Carneiro, Adriana Ferreira Souza, Galba Maria de Campos Takaki, and Rosileide Fontenele da Silva Andrade. "Bioemulsifier production by Penicillium Citrinum UCP 1183 and microstructural characterization of emulsion droplets." In CONNECTING EXPERTISE MULTIDISCIPLINARY DEVELOPMENT FOR THE FUTURE. Seven Editora, 2023. http://dx.doi.org/10.56238/connexpemultidisdevolpfut-168.
Повний текст джерелаТези доповідей конференцій з теми "Biomolecular Visualization"
Liu, Zhanping, and Robert J. Moorhead II. "Visualization of confocal microscopic biomolecular data." In Medical Imaging, edited by Robert L. Galloway, Jr. and Kevin R. Cleary. SPIE, 2005. http://dx.doi.org/10.1117/12.593652.
Повний текст джерелаLindow, Norbert, Daniel Baum, Ana-Nicoleta Bondar, and Hans-Christian Hege. "Dynamic channels in biomolecular systems: Path analysis and visualization." In 2012 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, 2012. http://dx.doi.org/10.1109/biovis.2012.6378599.
Повний текст джерелаZhang, Huiran, Xiaolong Shen, Dongbo Dai, Weimin Xu, Jiang Xie, and Shigeo Kawata. "An efficient and interactive problem solving environment (PSE) for biomolecular networks visualization." In 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE). IEEE, 2014. http://dx.doi.org/10.1109/infoseee.2014.6947785.
Повний текст джерелаSANNER, M. F., B. S. DUNCAN, C. J.CARRILLO, and A. J. OLSON. "INTEGRATING COMPUTATION AND VISUALIZATION FOR BIOMOLECULAR ANALYSIS: AN EXAMPLE USING PYTHON AND AVS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789814447300_0039.
Повний текст джерелаBin Masood, Talha, and Vijay Natarajan. "An integrated geometric and topological approach to connecting cavities in biomolecules." In 2016 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2016. http://dx.doi.org/10.1109/pacificvis.2016.7465257.
Повний текст джерелаHowze, Patrick H., Naga S. Annamdevula, Anh-Vu Phan, D. J. Pleshinger, Thomas Rich, and Silas Leavesley. "Improving visualization of cAMP gradients using algorithmic modelling." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XX, edited by James F. Leary, Attila Tarnok, and Jessica P. Houston. SPIE, 2022. http://dx.doi.org/10.1117/12.2607772.
Повний текст джерелаLiu, Yang, Jianquan Xu, and Hongqiang Ma. "Visualization of disrupted chromatin folding at nanoscale in early carcinogenesis via super-resolution microscopy." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX, edited by James F. Leary, Attila Tarnok, and Irene Georgakoudi. SPIE, 2021. http://dx.doi.org/10.1117/12.2579259.
Повний текст джерелаMai, Hanning, Simon P. Poland, Francesco Mattioli Della Rocca, Conor Treacy, Justin Aluko, Jakub Nedbal, Ahmet T. Erdogan, et al. "Flow cytometry visualization and real-time processing with a CMOS SPAD array and high-speed hardware implementation algorithm." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVIII, edited by Daniel L. Farkas, James F. Leary, and Attila Tarnok. SPIE, 2020. http://dx.doi.org/10.1117/12.2544759.
Повний текст джерелаAbraham, Thomas, Gary Clawson, Christopher McGovern, Wade Edris, Xiaomeng Tang, James Adair, and Gail Matters. "Multiphoton and harmonic generation imaging methods enable direct visualization of drug nanoparticle carriers in conjunction with vasculature in fibrotic prostate tumor mouse model." In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, edited by Daniel L. Farkas, James F. Leary, and Attila Tarnok. SPIE, 2019. http://dx.doi.org/10.1117/12.2508833.
Повний текст джерелаBuiu, Cătălin, and Speranța Avram. "INTERACTIVE GRAPHICAL VISUALIZATION OF BIOMOLECULES USING REAL-TIME HEAD TRACKING. TECHNICAL IMPLEMENTATION AND THE ASSESSMENT OF THE PEDAGOGICAL IMPACT." In 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.0280.
Повний текст джерелаЗвіти організацій з теми "Biomolecular Visualization"
Rodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, February 2022. http://dx.doi.org/10.18235/0003982.
Повний текст джерелаBajaj, Chandrajit L. Modeling and Visualization for Polymers, Surfaces and Biomolecules. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada336368.
Повний текст джерела