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Relevant bibliographies by topics / Computational biology

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Dissertations / Theses
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Academic literature on the topic 'Computational biology'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Computational biology"

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Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "COMPUTATIONAL BIOLOGY." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (2018): 66. http://dx.doi.org/10.23956/ijarcsse.v8i6.616.

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Computation is an integral part of a larger revolution that will affect how science is conducted. Computational biology is an important emerging field of biology which is uniquely enabled by computation. It involves using computers to model biological problems and interpret data, especially problems in evolutionary and molecular biology. The application of computational tools to all areas of biology is producing excitements and insights into biological problems too complex for conventional approaches. This paper provides a brief introduction on computational biology.

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Wood, C. C. "The computational stance in biology." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1774 (2019): 20180380. http://dx.doi.org/10.1098/rstb.2018.0380.

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The goal of this article is to call attention to, and to express caution about, the extensive use of computation as an explanatory concept in contemporary biology. Inspired by Dennett's ‘intentional stance’ in the philosophy of mind, I suggest that a ‘computational stance’ can be a productive approach to evaluating the value of computational concepts in biology. Such an approach allows the value of computational ideas to be assessed without being diverted by arguments about whether a particular biological system is ‘actually computing’ or not. Because there is sufficient difference of agreemen

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Lederman, Lynne. "Computational Biology." BioTechniques 40, no. 3 (2006): 263–65. http://dx.doi.org/10.2144/06403tn01.

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Mesirov, J. P., and D. K. Slonim. "Computational biology." Computing in Science & Engineering 1, no. 3 (1999): 16–17. http://dx.doi.org/10.1109/mcise.1999.764211.

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Surridge, Christopher. "Computational biology." Nature 420, no. 6912 (2002): 205. http://dx.doi.org/10.1038/nature01253x.

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Kingsbury, David T. "Computational biology." ACM Computing Surveys 28, no. 1 (1996): 101–3. http://dx.doi.org/10.1145/234313.234358.

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Ray, L. B., L. D. Chong, and N. R. Gough. "Computational Biology." Science Signaling 2002, no. 148 (2002): eg10-eg10. http://dx.doi.org/10.1126/stke.2002.148.eg10.

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Schwarz, Karlheinz, Rainer Breitling, and Christian Allen. "Computation: A New Open Access Journal of Computational Chemistry, Computational Biology and Computational Engineering." Computation 1, no. 2 (2013): 27–30. http://dx.doi.org/10.3390/computation1020027.

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Alt, Wolfgang, Andreas Deutsch, and Luigi Preziosi. "Computational Cell Biology: Second Theme Issue on “Computational Biology”." Journal of Mathematical Biology 58, no. 1-2 (2008): 1–5. http://dx.doi.org/10.1007/s00285-008-0207-x.

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Markowetz, Florian. "All biology is computational biology." PLOS Biology 15, no. 3 (2017): e2002050. http://dx.doi.org/10.1371/journal.pbio.2002050.

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Dissertations / Theses on the topic "Computational biology"

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Istrail, Sorin. "Computational molecular biology /." Amsterdam [u.a.] : Elsevier, 2003. http://www.loc.gov/catdir/toc/fy037/2003051360.html.

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Stegle, Oliver. "Probabilistic models in computational biology." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611560.

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Athanasakis, D. "Feature selection in computational biology." Thesis, University College London (University of London), 2014. http://discovery.ucl.ac.uk/1432346/.

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This thesis concerns feature selection, with a particular emphasis on the computational biology domain and the possibility of non-linear interaction between features. Towards this it establishes a two-step approach, where the first step is feature selection, followed by the learning of a kernel machine in this reduced representation. Optimization of kernel target alignment is proposed as a model selection criterion and its properties are established for a number of feature selection algorithms, including some novel variants of stability selection. The thesis further studies greedy and stochast

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Wu, Yichao Hurd Harry L. Ji Chuanshu. "Probability approximations with applications in computational finance and computational biology." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,247.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.

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Ranjard, Louis. "Computational biology of bird song evolution." e-Thesis University of Auckland, 2010. http://hdl.handle.net/2292/5719.

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Individuals of a given population share more behavioural traits with each other than with members of other populations. For example, in humans, traditions are specific to regions or countries. These cultural relationships can tell us about the history of the populations, their origin and the amount of exchange between them. In birds, regional dialects have been described in many species. However, the mechanisms with which dialects form in populations is not fully understood because it is difficult to analyse experimentally. Translocated populations, with their known histories, offer an opportu

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Lanctôt, J. Kevin. "Some string problems in computational biology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0023/NQ51207.pdf.

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Miller, David J. Ghosh Avijit. "New methods in computational systems biology /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2810.

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Li, Limin, and 李丽敏. "Machine learning methods for computational biology." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B44546749.

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Vialette, Stéphane. "Algorithmic Contributions to Computational Molecular Biology." Habilitation à diriger des recherches, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00862069.

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Selega, Alina. "Computational methods for RNA integrative biology." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/29630.

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Ribonucleic acid (RNA) is an essential molecule, which carries out a wide variety of functions within the cell, from its crucial involvement in protein synthesis to catalysing biochemical reactions and regulating gene expression. Such diverse functional repertoire is indebted to complex structures that RNA can adopt and its flexibility as an interacting molecule. It has become possible to experimentally measure these two crucial aspects of RNA regulatory role with such technological advancements as next-generation sequencing (NGS). NGS methods can rapidly obtain the nucleotide sequence of many

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Books on the topic "Computational biology"

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Wünschiers, Röbbe. Computational Biology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-662-45799-3.

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Pham, Tuan, ed. Computational Biology. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-0811-7.

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Gascuel, Olivier, and Marie-France Sagot, eds. Computational Biology. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45727-5.

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Fenyö, David, ed. Computational Biology. Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-842-3.

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Wünschiers, Röbbe. Computational Biology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34749-8.

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Wünschiers, Röbbe. Computational Biology —. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18552-6.

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Wünschiers, Röbbe. Computational Biology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-70314-0.

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Vidyasagar, Mathukumalli. Computational Cancer Biology. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4751-0.

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Ireton, Reneé, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, and Jason McDermott, eds. Computational Systems Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-243-4.

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Fall, Christopher P., Eric S. Marland, John M. Wagner, and John J. Tyson, eds. Computational Cell Biology. Springer New York, 2004. http://dx.doi.org/10.1007/b97701.

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Book chapters on the topic "Computational biology"

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Turk, Irfan. "Computational Biology." In Practical MATLAB. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5281-9_8.

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Greenberg, Harvey J., and Allen G. Holder. "Computational Biology." In Encyclopedia of Operations Research and Management Science. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_1146.

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Klostermeier, Dagmar, and Markus G. Rudolph. "Computational Biology." In Biophysical Chemistry. CRC Press, 2018. http://dx.doi.org/10.1201/9781315156910-21.

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Steele, Guy L., Xiaowei Shen, Josep Torrellas, et al. "Computational Biology." In Encyclopedia of Parallel Computing. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-09766-4_2204.

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Mittal, Mamta, Shailendra Singh, and Dolly Sharma. "Computational Biology." In Bioinformatics and RNA. CRC Press, 2021. http://dx.doi.org/10.1201/9781003107736-2-2.

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Vera, Julio, and Ulf Schmitz. "Computational microRNA Biology." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1534.

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Lancia, Giuseppe, and Paolo Serafini. "Computational Biology Problems." In EURO Advanced Tutorials on Operational Research. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63976-5_15.

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García-Gomez, Mónica L., and Kirsten H. ten Tusscher. "Computational Root Biology." In Plant Roots, 5th ed. CRC Press, 2024. http://dx.doi.org/10.1201/b23126-40.

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Boukerche, Azzedine, and Alba Cristina Magalhães Alves de Melo. "Computational Molecular Biology." In Parallel Computing for Bioinformatics and Computational Biology. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471756504.ch6.

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Jurisica, Igor. "Integrative Computational Biology." In Cancer Informatics in the Post Genomic Era. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-69321-7_8.

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Conference papers on the topic "Computational biology"

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Anand, Pushpam, Shreyansh Raj, Soumya Ranjan Pradhan, Syed Sajid Hussain Shah, Shreyash Verma, and Vinod Kumar. "Genetic Algorithms and Computational Biology in Crop Improvement." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910532.

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TOUMI, Amina, Hagar M. Mohamed, and Sally M. Elsayed. "Harnessing Computational Intelligence: In-Depth Applications in Biology and Medicine." In 2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD). IEEE, 2025. https://doi.org/10.1109/itikd63574.2025.11004766.

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Devi, Pragya, Aditi Bagri, Bhawana Yadav, Pallavi Singh, and Saumya Srivastava. "Assessment of Potential Phytochemicals Against Nipah Virus Using Computational Biology Approach." In 2024 International Conference on Big Data Analytics in Bioinformatics (DABCon). IEEE, 2024. https://doi.org/10.1109/dabcon63472.2024.10919391.

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Carruthers, Sarah, Kat Gunion, and Ulrike Stege. "Computational biology unplugged!" In the 14th Western Canadian Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1536274.1536314.

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Lesk, Arthur M. "COMPUTATIONAL MOLECULAR BIOLOGY." In Data For Discovery. Begellhouse, 2023. http://dx.doi.org/10.1615/1-56700-002-9.410.

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Krasnogor, Natalio. "(Computational) synthetic biology." In the 13th annual conference companion. ACM Press, 2011. http://dx.doi.org/10.1145/2001858.2002131.

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Jasinski, Joseph M. ""Computational Biology and Bioinformatics"." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.259775.

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Chervenak, Ann L. "Session details: Computational biology." In SC '07: International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, 2007. http://dx.doi.org/10.1145/3246893.

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"Bioinformatics and computational biology, systems biology and modeling." In 2014 Cairo International Biomedical Engineering Conference (CIBEC). IEEE, 2014. http://dx.doi.org/10.1109/cibec.2014.7020933.

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Wooley, John. "Trends in computational biology (abstract)." In the third annual international conference. ACM Press, 1999. http://dx.doi.org/10.1145/299432.299511.

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Reports on the topic "Computational biology"

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Oskolkov, Nikolay. Machine Learning for Computational Biology. Instats Inc., 2024. http://dx.doi.org/10.61700/l01vi14ohm8en1490.

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This one-day workshop, led by Nikolay Oskolkov from Lund University, provides a comprehensive introduction to machine learning techniques in computational biology, focusing on both theoretical knowledge and practical coding skills in R and Python. Participants will learn to implement from scratch and optimize algorithms such as neural networks, random forest, k-means clustering, and Markov Chain Monte Carlo (MCMC), making it an essential resource for advancing research in biostatistics, genetics, and data science.

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Barksy, D., and M. Colvin. Computational Biology: A Strategic Initiative LDRD. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/15006108.

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Lightstone, F., and B. Bennion. Computational Biology for Drug Discovery and Characterization. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/948962.

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Colvin, Michael, and Masakatsu Watanabe. UC Merced Center for Computational Biology Final Report. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/993507.

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Wallace, Susan S. DOE EPSCoR Initiative in Structural and computational Biology/Bioinformatics. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/924036.

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Bower, James M., and Christof Koch. Methods in Computational Neuroscience: Marine Biology Laboratory Student Projects. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada201434.

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Kuo, I., and C. Mundy. Heterogeneous processes at the intersection of chemistry and biology: A computational approach. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/926054.

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Ghosh, Debashree, and Arpan Choudhury. Photo-processes in biology: A glimpse from computational chemistry and machine learning. The Israel Chemical Society, 2023. http://dx.doi.org/10.51167/acm00043.

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Hansmann, Ulrich H. E. Final report for Conference Support Grant "From Computational Biophysics to Systems Biology - CBSB12". Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1059268.

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Herrador Rodríguez, Alicia, and Francisco José Esteban Ruiz. Integrating STXBP1 syndrome phenotypes. Fundación Avanza, 2024. http://dx.doi.org/10.60096/fundacionavanza/1602024.

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In this study, we explored the phenotype-genotype spectrum of STXBP1 syndrome from a systems biology approach. We carried out a comparative analysis between the Human Phenotype Ontology and recent scientific findings using computational techniques.

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