Academic literature on the topic 'Bioinformatic methods development'
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Journal articles on the topic "Bioinformatic methods development"
Chen, Ray, Hon Wong, and Brendan Burns. "New Approaches to Detect Biosynthetic Gene Clusters in the Environment." Medicines 6, no. 1 (February 25, 2019): 32. http://dx.doi.org/10.3390/medicines6010032.
Full textQuan, Yuan, Zhong-Yi Wang, Min Xiong, Zheng-Tao Xiao, and Hong-Yu Zhang. "Dissecting Traditional Chinese Medicines by Omics and Bioinformatics." Natural Product Communications 9, no. 9 (September 2014): 1934578X1400900. http://dx.doi.org/10.1177/1934578x1400900942.
Full textDroit, Arnaud, Guy G. Poirier, and Joanna M. Hunter. "Experimental and bioinformatic approaches for interrogating protein–protein interactions to determine protein function." Journal of Molecular Endocrinology 34, no. 2 (April 2005): 263–80. http://dx.doi.org/10.1677/jme.1.01693.
Full textLang, E. "Section 2: Patient Records: Integrating Bioinformatics into Clinical Practice: Progress and Evaluation." Yearbook of Medical Informatics 16, no. 01 (August 2007): 106–8. http://dx.doi.org/10.1055/s-0038-1638534.
Full textSoanes, Darren M., Wendy Skinner, John Keon, John Hargreaves, and Nicholas J. Talbot. "Genomics of Phytopathogenic Fungi and the Development of Bioinformatic Resources." Molecular Plant-Microbe Interactions® 15, no. 5 (May 2002): 421–27. http://dx.doi.org/10.1094/mpmi.2002.15.5.421.
Full textHynst, Jakub, Veronika Navrkalova, Karol Pal, and Sarka Pospisilova. "Bioinformatic strategies for the analysis of genomic aberrations detected by targeted NGS panels with clinical application." PeerJ 9 (March 31, 2021): e10897. http://dx.doi.org/10.7717/peerj.10897.
Full textCoy, Samantha, Eric Gann, Helena Pound, Steven Short, and Steven Wilhelm. "Viruses of Eukaryotic Algae: Diversity, Methods for Detection, and Future Directions." Viruses 10, no. 9 (September 11, 2018): 487. http://dx.doi.org/10.3390/v10090487.
Full textHan, Xiaoyan, Lei Cai, Yi Lu, Dan Li, and Jin Yang. "Identification of tRNA-derived fragments and their potential roles in diabetic cataract rats." Epigenomics 12, no. 16 (August 2020): 1405–18. http://dx.doi.org/10.2217/epi-2020-0193.
Full textWaite, David W., Lia Liefting, Catia Delmiglio, Anastasia Chernyavtseva, Hye Jeong Ha, and Jeremy R. Thompson. "Development and Validation of a Bioinformatic Workflow for the Rapid Detection of Viruses in Biosecurity." Viruses 14, no. 10 (September 30, 2022): 2163. http://dx.doi.org/10.3390/v14102163.
Full textSONG, JIANGNING, HAO TAN, SARAH E. BOYD, HONGBIN SHEN, KHALID MAHMOOD, GEOFFREY I. WEBB, TATSUYA AKUTSU, JAMES C. WHISSTOCK, and ROBERT N. PIKE. "BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES." Journal of Bioinformatics and Computational Biology 09, no. 01 (February 2011): 149–78. http://dx.doi.org/10.1142/s0219720011005288.
Full textDissertations / Theses on the topic "Bioinformatic methods development"
Rossini, Roberto. "Development and validation of bioinformatic methods for GRC assembly and annotation." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414739.
Full textRuiz, Arenas Carlos 1990. "Methods and bioinformatic tools to study polymorphic inversions in complex diseases." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666582.
Full textChromosomal inversions are structural variants where a segment changes its orientation. Chromosomal inversions reduce homologous recombination, producing different haplotypes in standard and inverted chromosomes. As a result, they influence adaptation and selection and play a role in susceptibility to human diseases. Inversions can be studied using experimental and bioinformatic methods. SNP array data can be used to call inversion genotypes by using haplotype differences between inverted and standard chromosomes. However, these methods are not optimized for large cohorts (thousands of individuals from existing databases such as dbGaP or UK Biobank). Also, current methods can only genotype inversions with two haplotypes and the inversion calling is difficult to be harmonized among cohorts. Finally, it is recognized that chromosomal inversions affect gene expression and DNA methylation. However, there are no accurate methods to globally assess the effect of inversions on local gene expression or DNA methylation. The main aim of this thesis is to develop new robust and scalable methods and bioinformatic tools to study the phenotypic and functional effects of chromosomal inversions by overcoming the existing limitations. To this end, I have developed a new method to genotype chromosomal inversions that can be used in large cohorts, inversions with multiple haplotypes and that uses reference haplotypes allowing the integrative analysis of multiple cohorts. Second, I have implemented a multivariate method based on redundancy analysis to study the effects of chromosomal inversions on local DNA methylation and gene expression. Then, I applied both methods to study the role of chromosomal inversions in two groups of complex diseases: neurodevelopmental disorders and cancer. Finally, I developed a new method to study how chromosomal inversions affect recombination patterns. This method is extendable to any genomic regions containing subpopulations with different recombination patterns, allowing associating these subpopulations to phenotypic traits.
Mastick, Kellen J. "Identification of candidate genes involved in fin/limb development and evolution using bioinformatic methods." Thesis, University of South Dakota, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1566765.
Full textKey to understanding the transition that vertebrates made from water to land is determining the developmental and genomic bases for the changes. New bioinformatic tools provide an opportunity to automate the discovery, broaden the number of, and provide an evidence-based ranking for potential candidate genes. I sought to explore this potential for the fin/limb transition, using the substantial genetic and phenotypic data available in model organism databases. Model organism data was used to hypothesize candidate genes for the fin/limb transition. In addition, 131 fin/limb candidate genes from the literature were extracted and used as a basis for comparison with candidates from the model organism databases. Additionally, seven genes specific to limb and 24 genes specific to fin were identified as future fin/limb transition candidates.
Zierep, Paul [Verfasser], and Stefan [Akademischer Betreuer] Günther. "Development of bioinformatic methods for the prediction and understanding of biosynthesis and activity of natural products." Freiburg : Universität, 2020. http://d-nb.info/1231711752/34.
Full textBesnier, Francois. "Development of Variance Component Methods for Genetic Dissection of Complex Traits." Doctoral thesis, Uppsala universitet, Centrum för bioinformatik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-101399.
Full textJauhiainen, Alexandra. "Evaluation and Development of Methods for Identification of Biochemical Networks." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2811.
Full textSystems biology is an area concerned with understanding biology on a systems level, where structure and dynamics of the system is in focus. Knowledge about structure and dynamics of biological systems is fundamental information about cells and interactions within cells and also play an increasingly important role in medical applications.
System identification deals with the problem of constructing a model of a system from data and an extensive theory of particularly identification of linear systems exists.
This is a master thesis in systems biology treating identification of biochemical systems. Methods based on both local parameter perturbation data and time series data have been tested and evaluated in silico.
The advantage of local parameter perturbation data methods proved to be that they demand less complex data, but the drawbacks are the reduced information content of this data and sensitivity to noise. Methods employing time series data are generally more robust to noise but the lack of available data limits the use of these methods.
The work has been conducted at the Fraunhofer-Chalmers Research Centre for Industrial Mathematics in Göteborg, and at the division of Computational Biology at the Department of Physics and Measurement Technology, Biology, and Chemistry at Linköping University during the autumn of 2004.
Hedberg, Lilia. "Identification of obesity-associated SNPs in the human genome : Method development and implementation for SOLiD sequencing data analysis." Thesis, Linköpings universitet, Institutionen för klinisk och experimentell medicin, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57932.
Full textLi, Miaoxin, and 李淼新. "Development of a bioinformatics and statistical framework to integratebiological resources for genome-wide genetic mapping and itsapplications." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43572030.
Full textPatel, Hitesh [Verfasser], and Irmgard [Akademischer Betreuer] Merfort. "Use and development of chem-bioinformatics tools and methods for drug discovery and target identification." Freiburg : Universität, 2015. http://d-nb.info/1115495917/34.
Full textPennington, Steven. "Pulsed induction, a method to identify genetic regulators of determination events." Thesis, Oklahoma State University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3727701.
Full textAbstract: Determination is the process in which a stem cell commits to differentiation. The process of how a cell goes through determination is not well understood. Determination is important for proper regulation of cell turn-over in tissue and maintaining the adult stem cell population. Deregulation of determination or differentiation can lead to diseases such as several forms of cancer. In this study I will be using microarrays to identify candidate genes involved in determination by pulse induction of mouse erythroleukemia (MEL) cells with DMSO and looking at gene expression changes as the cells go through the early stages of erythropoiesis. The pulsed induction method I have developed to identify candidate genes is to induce cells for a short time (30 min, 2 hours, etc.) and allow them then to grow for the duration of their differentiation time (8 days). For reference, cells were also harvested at the time when the inducer is removed from the media. Results show high numbers of genes differentially expressed including erythropoiesis specific genes such as GATA1, globin genes and many novel candidate genes that have also been indicated as playing a role in the dynamic early signaling of erythropoiesis. In addition, several genes showed a pendulum effect when allowed to recover, making these interesting candidate genes for maintaining self-renewal of the adult stem cell population.
Books on the topic "Bioinformatic methods development"
S, Larson Richard, ed. Bioinformatics and drug discovery. Totowa, N.J: Humana Press, 2005.
Find full textE, MacCuish Norah, ed. Clustering in bioinformatics and drug discovery. Boca Raton: Taylor & Francis, 2011.
Find full textBioinformatics and Computational Biology in Drug Discovery and Development. Cambridge University Press, 2016.
Find full textPoroikov, Vladimir, and Roman Efremov, eds. PROCEEDINGS BOOK OF THE XXVIII SYMPOSIUM "BIOINFORMATICS AND COMPUTER-AIDED DRUG DISCOVERY", MOSCOW, 2022. Institute of Biomedical Chemistry, Moscow, Russia, 2022. http://dx.doi.org/10.18097/bcadd2022.
Full textWagner, Roland, and Sepp Hochreiter. Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings. Springer London, Limited, 2007.
Find full text(Editor), Sepp Hochreiter, and Roland Wagner (Editor), eds. Bioinformatics Research and Development: First International Conference, BIRD 2007, Berlin, Germany, March 12-14, 2007, Proceedings (Lecture Notes in Computer Science). Springer, 2007.
Find full textRoss, John, Igor Schreiber, and Marcel O. Vlad. Determination of Complex Reaction Mechanisms. Oxford University Press, 2006. http://dx.doi.org/10.1093/oso/9780195178685.001.0001.
Full textPontarotti, Pierre. Evolutionary Biology: Convergent Evolution, Evolution of Complex Traits, Concepts and Methods. Springer, 2016.
Find full textPontarotti, Pierre. Evolutionary Biology: Convergent Evolution, Evolution of Complex Traits, Concepts and Methods. Springer London, Limited, 2016.
Find full textPontarotti, Pierre. Evolutionary Biology: Convergent Evolution, Evolution of Complex Traits, Concepts and Methods. Springer, 2018.
Find full textBook chapters on the topic "Bioinformatic methods development"
Perera-Bel, Júlia, Andreas Leha, and Tim Beißbarth. "Bioinformatic Methods and Resources for Biomarker Discovery, Validation, Development, and Integration." In Predictive Biomarkers in Oncology, 149–64. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95228-4_11.
Full textGhosh, Arpita, and Aditya Mehta. "Concept, Development, and Application of Computational Methods for the Analysis and Integration of Omics Data." In Plant Bioinformatics, 241–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67156-7_9.
Full textMalm, Johan, and György Marko-Varga. "The Role of Proteomics in the Development of Personalized Medicine, Diagnostic Methods and Large Scale Biobanking." In Translational Bioinformatics, 243–55. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9202-8_12.
Full textSevigny, Joseph L., Jon L. Norenburg, and Francesca Leasi. "A Bioinformatics Tutorial for Comparative Development Genomics in Diverse Meiofauna." In Methods in Molecular Biology, 289–305. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0974-3_19.
Full textJones, Wendell. "Genomics and Bioinformatics in Biological Discovery and Pharmaceutical Development." In Quantitative Methods in Pharmaceutical Research and Development, 105–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48555-9_3.
Full textSorathiya, Anil, Tadas Jucikas, Stephanie Piecewicz, Shiladitya Sengupta, and Pietro Liò. "Searching for Glycomics Role in Stem Cell Development." In Computational Intelligence Methods for Bioinformatics and Biostatistics, 198–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02504-4_18.
Full textHartmann, Morghan, Norman Fenton, and Ruth Dobson. "Development of Bayesian Network for Multiple Sclerosis Risk Factor Interaction Analysis." In Computational Intelligence Methods for Bioinformatics and Biostatistics, 13–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20837-9_2.
Full textPerkins, Randa M., and Joseph Markowitz. "Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center." In Methods in Molecular Biology, 1–19. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0849-4_1.
Full textSarr, Abdoulaye, Alexandra Fronville, Pascal Ballet, and Vincent Rodin. "French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints." In Computational Intelligence Methods for Bioinformatics and Biostatistics, 90–106. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09042-9_7.
Full textPerkins, Randa M., and Joseph Markowitz. "Correction to: Development and Optimization of Clinical Informatics Infrastructure to Support Bioinformatics at an Oncology Center." In Methods in Molecular Biology, C1. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-0849-4_17.
Full textConference papers on the topic "Bioinformatic methods development"
"Development of Prediction Models under Multiple Imputation for Coronary Heart Disease in Type 2 Diabetes Mellitus." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004244303120315.
Full textGerasimoska, Teodora, Milka Ljoncheva, and Monika Simjanoska. "MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification." In 12th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010424101950203.
Full textRodrigues, José, Letícia Raposo, and Flavio Nobre. "Development of HIV-1 Coreceptor Tropism Classifiers: An Approach to Improve X4 and R5X4 Viruses Prediction." In 11th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009096101830187.
Full textMi, Leilei, Nairui Liu, and Bo Zhou. "Disposal Methods for Municipal Solid Wastes and Its Development Trend." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5517879.
Full textLiu, Zhongzhou, and Wenbin Hu. "FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/632.
Full text"Development of sweet pepper F1 hybrids based on MAS methods by fruit quality and resistance genes." In Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 2019. http://dx.doi.org/10.18699/plantgen2019-016.
Full textJing, Ping, and Hai-feng Jia. "The Integrated Forewarning Method Research for Urban Sustainable Development." In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '08). IEEE, 2008. http://dx.doi.org/10.1109/icbbe.2008.585.
Full textHolcapek, Michal. "Comprehensive analysis of lipids: From plant oil analysis towards lipidomic cancer screening." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/wqnw2781.
Full textJing, Ping, and Hai-Feng Jia. "The Forecasting and Assessing Method for Urban Sustainable Development Tendency." In 2008 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE '08). IEEE, 2008. http://dx.doi.org/10.1109/icbbe.2008.586.
Full text"Development of a method for recognizing biomedical entities in the texts of scientific articles." In Bioinformatics of Genome Regulation and Structure/ Systems Biology. institute of cytology and genetics siberian branch of the russian academy of science, Novosibirsk State University, 2020. http://dx.doi.org/10.18699/bgrs/sb-2020-092.
Full textReports on the topic "Bioinformatic methods development"
Cytryn, Eddie, Mark R. Liles, and Omer Frenkel. Mining multidrug-resistant desert soil bacteria for biocontrol activity and biologically-active compounds. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598174.bard.
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