Relevant bibliographies by topics / Applied bioinformatics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Applied bioinformatics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Applied bioinformatics"

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Mohabatkar, Hassan, Mehrnaz Keyhanfar, and Mandana Behbahani. "Protein Bioinformatics Applied to Virology." Current Protein & Peptide Science 13, no. 6 (2012): 547–59. http://dx.doi.org/10.2174/138920312803582988.

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Ilyin, Sergey E., Albert Pinhasov, Anil H. Vaidya, et al. "Emerging paradigms in applied bioinformatics." BIOSILICO 1, no. 3 (2003): 86–88. http://dx.doi.org/10.1016/s1478-5382(03)02315-1.

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Altobelli, Gioia. "Bioinformatics applied to gene transcription regulation." Journal of Molecular Endocrinology 49, no. 2 (2012): R51—R59. http://dx.doi.org/10.1530/jme-12-0060.

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Understanding regulation of gene transcription is central to molecular biology as well as being of great interest in medicine. The molecular syntax of the concerted transcriptional activation/repression of gene networks in mammal cells, which shape the physiological response to the molecular signals, is often unknown or not completely understood. Combining genome-wide experiments within silicoapproaches opens the way to a more systematic comprehension of the molecular mechanisms of transcription regulation. Diverse bioinformatics tools have been developed to help unravel these mechanisms, by h
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Choong, Yee Siew, Gee Jun Tye, and Theam Soon Lim. "Minireview: Applied Structural Bioinformatics in Proteomics." Protein Journal 32, no. 7 (2013): 505–11. http://dx.doi.org/10.1007/s10930-013-9514-1.

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Lakhno, V. D. "Applied problems of mathematical biology and bioinformatics." Biophysics 56, no. 6 (2011): 1047–54. http://dx.doi.org/10.1134/s000635091106011x.

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Luo, J. "Teaching the ABCs of bioinformatics: a brief introduction to the Applied Bioinformatics Course." Briefings in Bioinformatics 15, no. 6 (2013): 1004–13. http://dx.doi.org/10.1093/bib/bbt065.

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Wang, Charles C. N., and Jeffrey J. P. Tsai. "Use of semantics in bio-informatics." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (2017): 1630017. http://dx.doi.org/10.1142/s2425038416300172.

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Bioinformatics conceptualizes biological processes in terms of genomics and applies computer science (derived from disciplines such as applied modeling, data mining, machine learning and statistics) to extract knowledge from biological data. This paper introduces the working definitions of bioinformatics and its applications and challenges. We also identify the bioinformatics resources that are popular among bioinformatics analysis, review some primary methods used to analyze bioinformatics problems, and review the data mining, semantic computing and deep learning technologies that may be appl
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Palsson, Bernhard O. "Bioinformatics: What lies beyond bioinformatics?" Nature Biotechnology 15, no. 1 (1997): 3–4. http://dx.doi.org/10.1038/nbt0197-3.

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Pettini, Francesco, Anna Visibelli, Vittoria Cicaloni, Daniele Iovinelli, and Ottavia Spiga. "Multi-Omics Model Applied to Cancer Genetics." International Journal of Molecular Sciences 22, no. 11 (2021): 5751. http://dx.doi.org/10.3390/ijms22115751.

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In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities involved in oncology, we must understand what is a system biology framework and the genetic connection, because of the high heterogenicity of the backgrounds of people approaching precision medicine. In fact, it is essential to providing general theoretical information on genomics, epigenomics, and tr
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Land, Walker H., William Ford, Jin-Woo Park, et al. "Partial Least Squares (PLS) Applied to Medical Bioinformatics." Procedia Computer Science 6 (2011): 273–78. http://dx.doi.org/10.1016/j.procs.2011.08.051.

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Dissertations / Theses on the topic "Applied bioinformatics"

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Podowski, Raf M. "Applied bioinformatics for gene characterization /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-818-5/.

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Vyas, Hiten. "Information management applied to bioinformatics." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/12906.

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Bioinformatics, the discipline concerned with biological information management is essential in the post-genome era, where the complexity of data processing allows for contemporaneous multi level research including that at the genome level, transcriptome level, proteome level, the metabolome level, and the integration of these -omic studies towards gaining an understanding of biology at the systems level. This research is also having a major impact on disease research and drug discovery, particularly through pharmacogenomics studies. In this study innovative resources have been generated via t
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Andrade, Jorge. "Grid and High-Performance Computing for Applied Bioinformatics." Doctoral thesis, Stockholm : Bioteknologi, Kungliga Tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4573.

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Zheng, Chunfang. "Genome rearrangement algorithms applied to comparative maps." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27313.

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The Hannenhalli-Pevzner algorithm for computing the evolutionary distance between two genomes is very efficient when the genomes are signed and totally ordered. But in real comparative maps, the data suffer from problems such as coarseness, missing data, no signs, paralogy, order conflicts and mapping noise. In this thesis we have developed a suite of algorithms for genome rearrangement analysis in the presence of noise and incomplete information. For coarseness and missing data, we represent each chromosome as a partial order, summarized by a directed acyclic graph (DAG). We augment each DAG
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Niklasson, Markus. "Coding to cure : NMR and thermodynamic software applied to congenital heart disease research." Doctoral thesis, Linköpings universitet, Kemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142785.

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Regardless of scientific field computers have become pivotal tools for data analysis and the field of structural biology is not an exception. Here, computers are the main tools used for tasks including structural calculations of proteins, spectral analysis of nuclear magnetic resonance (NMR) spectroscopy data and fitting mathematical models to data. As results reported in papers heavily rely on software and scripts it is of key importance that the employed computational methods are robust and yield reliable results. However, as many scientific fields are niched and possess a small potential us
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Dong, Siyuan. "A time dependent adaptive learning process for estimating drug exposure from register data - applied to insulin and its analogues." Thesis, KTH, Beräkningsbiologi, CB, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-128438.

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Szekeres, Ferenc. "Bioinformatics applied to chlorophyll a/b binding proteins in Avena sativa (oat)." Thesis, University of Skövde, Department of Computer Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-820.

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<p>The chlorophyll a/b binding (CAB) genes play a very central role in all photosynthetic systems and are for Avena sativa (oat) totally unexplored. This dissertation investigates a large number of EST sequences and this investigation characterises the CAB genes in oat, with help from the evolutionary background of oat and the comparison to a reference organism and similar species.</p>
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Ahmed, Ashraf. "Investigation of immunity related genes in a disease host using applied bioinformatics." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/18247/.

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Schröder, Michael, Rainer Winnenburg, and Conrad Plake. "Improved mutation tagging with gene identifiers applied to membrane protein stability prediction." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-177379.

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Background The automated retrieval and integration of information about protein point mutations in combination with structure, domain and interaction data from literature and databases promises to be a valuable approach to study structure-function relationships in biomedical data sets. Results We developed a rule- and regular expression-based protein point mutation retrieval pipeline for PubMed abstracts, which shows an F-measure of 87% for the mutation retrieval task on a benchmark dataset. In order to link mutations to their proteins, we utilize a named entity recognition algorithm for the
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Diboun, I. "Bioinformatics protocols for analysis of functional genomics data applied to neuropathy microarray datasets." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/19298/.

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Microarray technology allows the simultaneous measurement of the abundance of thousands of transcripts in living cells. The high-throughput nature of microarray technology means that automatic analytical procedures are required to handle the sheer amount of data, typically generated in a single microarray experiment. Along these lines, this work presents a contribution to the automatic analysis of microarray data by attempting to construct protocols for the validation of publicly available methods for microarray. At the experimental level, an evaluation of amplification of RNA targets prior to
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Books on the topic "Applied bioinformatics"

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Selzer, Paul M., Richard J. Marhöfer, and Andreas Rohwer, eds. Applied Bioinformatics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72800-9.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0.

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Applied bioinformatics: An introduction. Springer, 2008.

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Taguchi, Y.-h. Unsupervised Feature Extraction Applied to Bioinformatics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-22456-1.

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Applied ontology: An introduction. Ontos Verlag, 2008.

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Applied statistics for network biology: Methods in systems biology. Wiley-Blackwell, 2011.

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Prokop, Aleš. Systems Biology in Biotech & Pharma: A Changing Paradigm. Springer Netherlands, 2012.

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Dingzhu, Du, Duan Zhenhua, Li Angsheng, and SpringerLink (Online service), eds. Theory and Applications of Models of Computation: 5th International Conference, TAMC 2008, Xi’an, China, April 25-29, 2008. Proceedings. Springer-Verlag Berlin Heidelberg, 2008.

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International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems <18, 2005, Bari>. Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005. Proceedings. Springer Berlin Heidelberg, 2005.

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Demin, Oleg. Kinetic modelling in systems biology. Chapman & Hall/CRC, 2009.

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Book chapters on the topic "Applied bioinformatics"

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Luo, Jingchu. "Applied Bioinformatics Tools." In Basics of Bioinformatics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38951-1_9.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "The Biological Foundations of Bioinformatics." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_1.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "Biological Databases." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_2.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "Sequence Comparisons and Sequence-Based Database Searches." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_3.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "The Decoding of Eukaryotic Genomes." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_4.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "Protein Structures and Structure-Based Rational Drug Design." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_5.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "The Functional Analysis of Genomes." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_6.

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Selzer, Paul M., Richard J. Marhöfer, and Oliver Koch. "Comparative Genome Analyses." In Applied Bioinformatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68301-0_7.

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Haavisto, Olli, and Heikki Hyötyniemi. "Multivariate Regression Applied to Gene Expression Dynamics." In Computational Intelligence in Bioinformatics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76803-6_11.

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Salazar-Castro, Jose Alejandro, Ana Cristina Umaquinga-Criollo, Lilian Dayana Cruz-Cruz, et al. "Advances in Homotopy Applied to Object Deformation." In Bioinformatics and Biomedical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78759-6_22.

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Conference papers on the topic "Applied bioinformatics"

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"Session details: BIO - computational biology and bioinformatics track." In SAC 2017: Symposium on Applied Computing, edited by Paola Lecca, Dan Tulpan, and Juan Manuel Corchado Rodriguez. ACM, 2017. http://dx.doi.org/10.1145/3243941.

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Valverde, Jose, and Allan Orozco. "Bioinformatics and Computational Biology Systems design applied to Nanobiotechnology." In 2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI). IEEE, 2016. http://dx.doi.org/10.1109/concapan.2016.7942374.

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Lau, N., A. Oxley, and M. Y. Nayan. "Protein folding and loop closure: Some bioinformatics challenges." In INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES 2012: (ICFAS2012). AIP, 2012. http://dx.doi.org/10.1063/1.4757562.

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Alansari, Zainab, Nor Badrul Anuar, Amirrudin Kamsin, Safeeullah Soomro, and Mohammad Riyaz Belgaum. "Computational intelligence tools and databases in bioinformatics." In 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS). IEEE, 2017. http://dx.doi.org/10.1109/icetas.2017.8277876.

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"ON THE GRADIENT-BASED ALGORITHM FOR MATRIX FACTORIZATION APPLIED TO DIMENSIONALITY REDUCTION." In International Conference on Bioinformatics. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002736601470152.

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LIN, TSUN-CHEN, RU-SHENG LIU, SHU-YUAN CHEN, CHEN-CHUNG LIU, and CHIEH-YU CHEN. "GENETIC ALGORITHMS AND SILHOUETTE MEASURES APPLIED TO MICROARRAY DATA CLASSIFICATION." In 3rd Asia-Pacific Bioinformatics Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2005. http://dx.doi.org/10.1142/9781860947322_0023.

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"Session details: Theme: AI and agents: BIO - Bioinformatics track." In SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing, edited by Paola Lecca, Dan Tulpan, and Juan Manuel Corchado. ACM, 2019. http://dx.doi.org/10.1145/3329355.

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Lecca, Paola, Dan Tulpan, and Juan Manuel Corchado. "Session details: Theme: AI and agents: BIO - Bioinformatics track." In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. ACM, 2020. http://dx.doi.org/10.1145/3389640.

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Sarmiento, Edgar, Karin Breitman, Alberto M. R. Dávila, and José Viterbo. "A framework for readapting and running bioinformatics applications in the cloud." In the 2012 ACM Research in Applied Computation Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2401603.2401624.

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Wasti, Afshan Zeeshan. "ERBB2 - A Potential Breast Cancer Marker: An Integrated Bioinformatics Strategy." In IBRAS 2021 INTERNATIONAL CONFERENCE ON BIOLOGICAL RESEARCH AND APPLIED SCIENCE. Juw, 2021. http://dx.doi.org/10.37962/ibras/2021/1-2.

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