Now showing items 1-10 of 10

    • Algorithms for effective querying of compound graph-based pathway databases 

      Dogrusoz, U.; Cetintas, A.; Demir, E.; Babur, O. (BioMed Central Ltd., 2009)
      Background: Graph-based pathway ontologies and databases are widely used to represent data about cellular processes. This representation makes it possible to programmatically integrate cellular networks and to investigate ...
    • The BioPAX community standard for pathway data sharing 

      Demir, E.; Cary, M. P.; Paley, S.; Fukuda, K.; Lemer, C.; Vastrik, I.; Wu, G.; D'Eustachio, P.; Schaefer, C.; Luciano, J.; Schacherer, F.; Martinez-Flores, I.; Hu, Z.; Jimenez-Jacinto, V.; Joshi-Tope, G.; Kandasamy, K.; Lopez-Fuentes, A. C.; Mi, H.; Pichler, E.; Rodchenkov, I.; Splendiani, A.; Tkachev, S.; Zucker, J.; Gopinath, G.; Rajasimha, H.; Ramakrishnan, R.; Shah, I.; Syed, M.; Anwar, N.; Babur, Ö.; Blinov, M.; Brauner, E.; Corwin, D.; Donaldson, S.; Gibbons, F.; Goldberg, R.; Hornbeck, P.; Luna, A.; Murray-Rust, P.; Neumann, E.; Reubenacker, O.; Samwald, M.; Iersel, Martijn van; Wimalaratne, S.; Allen, K.; Braun, B.; Whirl-Carrillo, M.; Cheung, Kei-Hoi; Dahlquist, K.; Finney, A.; Gillespie, M.; Glass, E.; Gong, L.; Haw, R.; Honig, M.; Hubaut, O.; Kane, D.; Krupa, S.; Kutmon, M.; Leonard, J.; Marks, D.; Merberg, D.; Petri, V.; Pico, A.; Ravenscroft, D.; Ren, L.; Shah, N.; Sunshine, M.; Tang R.; Whaley, R.; Letovksy, S.; Buetow, K. H.; Rzhetsky, A.; Schachter, V.; Sobral, B. S.; Dogrusoz, U.; McWeeney, S.; Aladjem, M.; Birney, E.; Collado-Vides, J.; Goto, S.; Hucka, M.; Novère, Nicolas Le; Maltsev, N.; Pandey, A.; Thomas, P.; Wingender, E.; Karp, P. D.; Sander, C.; Bader, G. D. (Nature Publishing Group, 2010)
      Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway ...
    • Causality analysis in biological networks 

      Babur, Özgün (Bilkent University, 2010)
      Systems biology is a rapidly emerging field, shaped in the last two decades or so, which promises understanding and curing several complex diseases such as cancer. In order to get an insight about the system – specifically ...
    • ChiBE: interactive visualization and manipulation of BioPAX pathway models 

      Babur, O.; Dogrusoz, U.; Demir, E.; Sander, C. (Oxford University Press, 2010)
      SUMMARY: Representing models of cellular processes or pathways in a graphically rich form facilitates interpretation of biological observations and generation of new hypotheses. Solving biological problems using large ...
    • Integrating biological pathways and genomic profiles with ChiBE 2 

      Çakır, Merve (Bilkent University, 2013)
      Biological pathways store information about spatial and temporal organization of interactions taking place in an organism. They hold valuable information that can assist scientific community in understanding the details ...
    • k-Shell decomposition reveals structural properties of the gene coexpression network for neurodevelopment 

      Çiçek, A. E. (Scientific and Technical Research Council of Turkey, 2017)
      Neurodevelopment is a dynamic and complex process, which involves interactions of thousands of genes. Understanding the mechanisms of brain development is important for uncovering the genetic architectures of neurodevelopmental ...
    • PATIKAmad: putting microarray data into pathway context 

      Babur, O.; Colak, R.; Demir, E.; Dogrusoz, U. (Wiley - V C H Verlag GmbH & Co. KGaA, 2008-06)
      High-throughput experiments, most significantly DNA microarrays, provide us with system-scale profiles. Connecting these data with existing biological networks poses a formidable challenge to uncover facts about a cell's ...
    • A privacy-preserving solution for compressed storage and selective retrieval of genomic data 

      Huang Z.; Ayday, E.; Lin, H.; Aiyar, R. S.; Molyneaux, A.; Xu, Z.; Fellay, J.; Steinmetz, L. M.; Hubaux, Jean-Pierre (Cold Spring Harbor Laboratory Press, 2016)
      In clinical genomics, the continuous evolution of bioinformatic algorithms and sequencing platforms makes it beneficial to store patients' complete aligned genomic data in addition to variant calls relative to a reference ...
    • Software support for SBGN maps: SBGN-ML and LibSBGN 

      Iersel, Martijn P. van; Villéger, A. C.; Czauderna, T.; Boyd, S. E.; Bergmann, F. T.; Luna, A.; Demir, E.; Sorokin, A.; Dogrusoz, U.; Matsuoka, Y.; Funahashi, A.; Aladjem, M. I.; Mi, H.; Moodie, S. L.; Kitano, H.; Le novère, N.; Schreiber, F. (Oxford University Press, 2012)
      Motivation: LibSBGN is a software library for reading, writing and manipulating Systems Biology Graphical Notation (SBGN) maps stored using the recently developed SBGN-ML file format. The library (available in C++ and Java) ...
    • Two learning approaches for protein name extraction 

      Tatar, S.; Cicekli, I. (Academic Press, 2009)
      Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...