InterViewer

InterViewer: Dynamic visualization of protein-protein interactions From the perspective of graph drawing, a protein interaction network is challenging because it is a complicated, nonplanar graph with a large number of edge crossings and because it is a disconnected graph consisting of many connected components with nodes of a wide range of degrees. INTERVIEWER is a system for drawing and exploring protein-protein interaction networks in three-dimensional space. Unique features of INTERVIEWER include: (1) it is much faster than other recent implementations of drawing algorithms; (2) it can be used not only for drawing protein interaction networks but also for simplifying them into different types of networks; and (3) it provides an integrated framework for querying protein interaction databases and directly visualizing the query results.


References in zbMATH (referenced in 28 articles , 1 standard article )

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  1. Gómez-Vela, Francisco; Rodriguez-Baena, Domingo S.; Vázquez-Noguera, José Luis: Structure optimization for large gene networks based on greedy strategy (2018)
  2. Hu, Guang; Yan, Wenying; Zhou, Jianhong; Shen, Bairong: Residue interaction network analysis of Dronpa and a DNA clamp (2014)
  3. Podder, Avijit; Jatana, Nidhi; Latha, N.: Human dopamine receptors interaction network (DRIN): a systems biology perspective on topology, stability and functionality of the network (2014)
  4. Olechnovic, Kliment; Margelevicius, Mindaugas; Venclovas, Ceslovas: Voroprot: an interactive tool for the analysis and visualization of complex geometric features of protein structure (2011) ioport
  5. Kodikara, P. N.; Perera, B. J. C.; Kularathna, M. D. U. P.: Stakeholder preference elicitation and modelling in multi-criteria decision analysis - a case study on urban water supply (2010)
  6. Schreiber, Falk; Dwyer, Tim; Marriott, Kim; Wybrow, Michael: A generic algorithm for layout of biological networks (2009) ioport
  7. Chaudhuri, Arijit; Christofides, Tasos C.: Indirect questioning: how to rival randomized response techniques (2008)
  8. Scott, Luis P. B.; Chahine, Jorge; Ruggiero, José R.: Predicting peptides structure with solvation potential and rotamer library dependent of the backbone (2008)
  9. Scott, Luis P. B.; Chahine, Jorge; Ruggiero, José R.: Using genetic algorithm to design protein sequence (2008)
  10. Scott, Luis P. B.; Chahine, Jorge; Ruggiero, José R.: Use of genetic algorithms and solvation potential to study peptides structure (2008)
  11. Udofia, Godwin A.: Estimation of response bias based on information from both samples in double sampling for inclusion probabilities (2008)
  12. Alwin, Duane F.: Margins of error. A study of reliability in survey measurement. (2007)
  13. Cho, Moon Jung; Eltinge, John; Cho, Eungchun: Optimal pairing for stratum collapse methods with interviewer-level measurement error shared across strata (2007)
  14. Wiltgen, Marco; Holzinger, Andreas; Tilz, Gernot P.: Interactive analysis and visualization of macromolecular interfaces between proteins (2007) ioport
  15. Eppmann, Helmut; Krügener, Sonja; Schäfer, Josef: First German register based census in 2011 (2006)
  16. -: An (H_v)-interview, i.e. weak with Th. Vougiouklis. Interviewer N. Lygeros. (2005)
  17. Fraboni, Romina; Rosina, Alessandro; Orsini, Sante; Baldazzi, Barbara: A micro analysis of the macro differences in refusal risk among metropolitan areas. The case of the Italian multipurpose survey (2005)
  18. Groves, Robert M.; Fowler, Floyd J. jun.; Couper, Mick P.; Lepkowski, James M.; Singer, Eleanor; Tourangeau, Roger: Survey methodology. (2004)
  19. Kish, Leslie: Leslie Kish: selected papers. Edited by Steven Heeringa and Graham Kalton (2003)
  20. Özta, H.: Models of response error components in supervised interview-reinterview surveys (2003)

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