Academic literature on the topic 'Bioinformatic analyses'

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Journal articles on the topic "Bioinformatic analyses"

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Mshvidobadze, Tinatin. "Bioinformatics as Emerging Tool and Pipeline Frameworks." Science Progress and Research 1, no. 4 (2021): 411–15. http://dx.doi.org/10.52152/spr/2021.162.

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In this article, we will discuss the areas of origin of bioinformatics in the human health care system. Due to the growing network of biological information databases such as human genomes, transcriptomics and proteomics, bioinformatics has become the approach of choosing forensic sciences. High-throughput bioinformatic analyses increasingly rely on pipeline frameworks to process sequence and metadata. Here we survey and compare the design philosophies of several current pipeline frameworks.
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Grisham, William, Natalie A. Schottler, Joanne Valli-Marill, Lisa Beck, and Jackson Beatty. "Teaching Bioinformatics and Neuroinformatics by Using Free Web-based Tools." CBE—Life Sciences Education 9, no. 2 (2010): 98–107. http://dx.doi.org/10.1187/cbe.09-11-0079.

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This completely computer-based module's purpose is to introduce students to bioinformatics resources. We present an easy-to-adopt module that weaves together several important bioinformatic tools so students can grasp how these tools are used in answering research questions. Students integrate information gathered from websites dealing with anatomy (Mouse Brain Library), quantitative trait locus analysis (WebQTL from GeneNetwork), bioinformatics and gene expression analyses (University of California, Santa Cruz Genome Browser, National Center for Biotechnology Information's Entrez Gene, and th
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Sun, Huanhuan, Huasheng Wang, Hongfeng Zhan, et al. "Bioinformatic analyses and enzymatic properties of microcystinase." Algal Research 55 (May 2021): 102244. http://dx.doi.org/10.1016/j.algal.2021.102244.

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Chu, Ching Yan, Xin Xiao, Xiao Guang Zhou, et al. "Metabolomic and bioinformatic analyses in asphyxiated neonates." Clinical Biochemistry 39, no. 3 (2006): 203–9. http://dx.doi.org/10.1016/j.clinbiochem.2006.01.006.

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Linke, Burkhard, Robert Giegerich, and Alexander Goesmann. "Conveyor: a workflow engine for bioinformatic analyses." Bioinformatics 27, no. 7 (2011): 903–11. http://dx.doi.org/10.1093/bioinformatics/btr040.

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Meducator, The, Samantha Visva, John-Paul Oliveria, and Ruby Zheng. "Understanding regulatory B cell development with single cell analyses." Meducator 1, no. 35 (2019): 19–22. http://dx.doi.org/10.15173/m.v1i35.2206.

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There is very little research concerning human regulatory B cells and this may in part be due to their inconsistent responsesto immunosuppressive cytokines such as IL-10. The purpose of this critical review is to examine our current understandingof regulatory B cell development, such as time points of differentiation, and how in silico computer modelling can improvethis understanding. Specifically, bioinformatic analysis of the changes in cell surface markers and signalling moleculescan help guide our understanding of the timing of cell-fate decisions and regulatory B cell differentiation. Tra
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Jain, Vipul V., David L. Perkins, and Patricia W. Finn. "Costimulation and allergic responses: Immune and bioinformatic analyses." Pharmacology & Therapeutics 117, no. 3 (2008): 385–92. http://dx.doi.org/10.1016/j.pharmthera.2007.12.002.

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Stonestrom, Aaron, Ravi D. Barabote, Claudio F. Gonzalez, and Milton H. Saier. "Bioinformatic analyses of bacterial HPr kinase/phosphorylase homologues." Research in Microbiology 156, no. 3 (2005): 443–51. http://dx.doi.org/10.1016/j.resmic.2004.10.010.

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Mok, Timothy, Jonathan S. Chen, Maksim A. Shlykov, and Milton H. Saier. "Bioinformatic Analyses of Bacterial Mercury Ion (Hg2+) Transporters." Water, Air, & Soil Pollution 223, no. 7 (2012): 4443–57. http://dx.doi.org/10.1007/s11270-012-1208-3.

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Zhao, Yilu, Kang Ge, Yan Cheng, and Ru-zhi Zhang. "Bioinformatic Analysis of Genes Associated with Autophagy in Vitiligo." Indian Journal of Dermatology 69, no. 2 (2024): 123–31. http://dx.doi.org/10.4103/ijd.ijd_655_23.

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Background: As vitiligo progresses, autophagy becomes more and more important. Objectives: To validate potential genes associated with autophagy in vitiligo through bioinformatics analysis and experimental testing. Materials and Methods: Dataset GSE75819 of mRNA expression profiles was obtained from GEO. After data normalisation, gene set enrichment analyse enrichment analysis and abundance analysis of infiltrating immune cells were performed. A list of autophagy-related differentially expressed genes (ARDEGs) associated with vitiligo was generated using R software. Protein–protein interaction
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Dissertations / Theses on the topic "Bioinformatic analyses"

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Al, Haj Baddar Nour W. "BIOINFORMATIC AND EXPERIMENTAL ANALYSES OF AXOLOTL REGENERATION." UKnowledge, 2019. https://uknowledge.uky.edu/biology_etds/61.

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Salamanders have an extraordinary ability to regenerate appendages after loss or amputation, irrespective of age. My dissertation research explored the possibility that regenerative ability is associated with the evolution of novel, salamander-specific genes. I utilized transcriptional and genomic databases for the axolotl to discover previously unidentified genes, to the exclusion of other vertebrate taxa. Among the genes identified were multiple mmps (Matrix metalloproteases) and a jnk1/mapk8 (c-jun-N-terminal kinase) paralog. MMPs function in extracellular matrix remodeling (ECM) and tissue
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Algothmi, Khloud Mubarak. "Some bioinformatic analyses of human GDAP1 gene expression." Doctoral thesis, importedStudentThesis, 2015. https://researchprofiles.canberra.edu.au/en/studentTheses/7bb52323-1539-490e-850a-4f7265cd0fff.

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Poluri, Raghavendra Tejo Karthik. "Using bioinformatic analyses to understand prostate cancer cell biology." Master's thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/66803.

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Le cancer de la prostate (CaP) affecte 1 homme sur 7 au cours de sa vie. C’est le cancer numéro un diagnostiqué chez l'homme. Il s'agit du quatrième cancer le plus fréquent au Canada. Le CaP est une maladie hormonodépendante diagnostiquée chez l'homme. Les androgènes jouent un rôle vital dans la progression de la maladie. La première ligne de traitement, suivant une intervention chirurgicale ou un traitement de radiothérapie, est la thérapie de déprivation aux androgènes. Malgré une réponse initiale positive à l'inhibition des androgènes, la progression de la maladie vers un cancer de la prost
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Acar, Hande. "Bioinformatic Analyses In Microsatellite-based Genetic Diversity Of Turkish Sheep Breeds." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612585/index.pdf.

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In the present study, within and among breed genetic diversity in thirteen Turkish sheep breeds (Sakiz, Karag&uuml<br>l, Hemsin, &Ccedil<br>ine &Ccedil<br>apari, Norduz, Herik, Akkaraman, Dagli&ccedil<br>, G&ouml<br>k&ccedil<br>eada, Ivesi, Karayaka, Kivircik and Morkaraman<br>in total represented by 628 individuals) were analyzed based on 20 microsatellite loci. Loci were amplified by Polymerase Chain Reactions and products were electronically recorded and converted into [628 x 20] matrix representing genotypes of individuals. Reliability of the genotyping and genetic diversity analyses were
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Kirk, Michael School of Biotechnology &amp Biomolecular Science UNSW. "Bioinformatic analyses of microarray experiments on genetic control of gene expression level." Awarded by:University of New South Wales. School of Biotechnology and Biomolecular Science, 2006. http://handle.unsw.edu.au/1959.4/25986.

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The advent of microarray technology, allowing measurement of gene expression levels for thousands of genes in parallel, has made possible experiments designed to investigate the genetic control of variation in gene expression level (described in the literature as ???genetical genomics??? or ???eQTL??? experiments). Published results from these studies, in yeast and in mice, show that genetic variation is an important factor in gene regulation, and furthermore that individual polymorphisms modify the expression level of many genes. The concern of this thesis is the bioinformatic analyses of the
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Eves-van, den Akker Sebastian. "Molecular and bioinformatic analyses of nematode-derived proteins involved in plant-parasitism." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/7421/.

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Plant parasitic nematodes comprise several groups; the most economically damaging of these are the sedentary endoparasites. Sedentary endoparasitic nematodes modify host root tissues, using a suite of effector proteins to create and maintain a feeding site that is their sole source of nutrition. Ultrastructural studies of plant-nematode interactions, and in particular those of the feeding sites, have identified two key feeding structures; feeding tubes and feeding plugs. Sedentary plant-parasitic nematodes feed by withdrawing host cell assimilate from the feeding site though a feeding tube. Th
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Kröger, Stefan. "Bioinformatic analyses for T helper cell subtypes discrimination and gene regulatory network reconstruction." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18122.

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Die Etablierung von Hochdurchsatz-Technologien zur Durchführung von Genexpressionsmessungen führte in den letzten 20 Jahren zu einer stetig wachsende Menge an verfügbaren Daten. Sie ermöglichen durch Kombination einzelner Experimente neue Vergleichsstudien zu kombinieren oder Experimente aus verschiedenen Studien zu großen Datensätzen zu vereinen. Dieses Vorgehen wird als Meta-Analyse bezeichnet und in dieser Arbeit verwendet, um einen großen Genexpressionsdatensatz aus öffentlich zugänglichen T-Zell Experimenten zu erstellen. T-Zellen sind Immunzellen, die eine Vielzahl von unterschiedlichen
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MOZZICAFREDDO, MATTEO. "Structural bioinformatic analyses of (macro)molecular interactions of biomedical relevance: an experimental validation." Doctoral thesis, Università degli Studi di Camerino, 2014. http://hdl.handle.net/11581/401775.

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Structural bioinformatics, like many other subdisciplines within bioinformatics, is characterized by the establishment of general purpose methods for manipulating information about biological macromolecules, and the application of these methods to solving problems in biology and creating new knowledge. Among its capabilities, structural bioinformatics can analyse the feasible (macro)molecular interactions and assists, or sometimes anticipates, the experimental approaches in biological research, even starting from a prediction analysis of the three-dimensional structures of the partners. This t
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Rajaonarifara, Elinambinina. "A bioinformatic study on the feasibility of a cross-species proteomics analyses of mycobacteria." Master's thesis, University of Cape Town, 2013. http://hdl.handle.net/11427/3073.

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Li, Yu. "Functional genomic and bioinformatic analyses of host responses to chronic AIDS and hepatitis RNA virus infections /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/11530.

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Books on the topic "Bioinformatic analyses"

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Unger, Ron. Biyoinformaṭikah: Bioinformatics. ha-Universiṭah ha-petuḥah, 2010.

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Mewes, H. W., H. Seidel, and B. Weiss, eds. Bioinformatics and Genome Analysis. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04747-7.

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1951-, Mewes Hans-Werner, Weiss B. 1966-, and Seidel Henrik, eds. Bioinformatics and genome analysis. Springer, 2002.

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Jamous, Basel Abu. Integrative cluster analysis in bioinformatics. John Wiley & Sons Inc., 2015.

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Abu-Jamous, Basel, Rui Fa, and Asoke K. Nandi. Integrative Cluster Analysis in Bioinformatics. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118906545.

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Posada, David, ed. Bioinformatics for DNA Sequence Analysis. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-251-9.

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David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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Xia, Yinglin, and Jun Sun. Bioinformatic and Statistical Analysis of Microbiome Data. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21391-5.

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Book chapters on the topic "Bioinformatic analyses"

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Guerrero-Largo, Herenia, and Nayelli Marsch-Martínez. "Bioinformatic Enrichment and Network Analyses of miRNA-Related High-Throughput Sequencing Data." In Methods in Molecular Biology. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4398-3_20.

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Fernandez-Silva, Iria, and Robert J. Toonen. "Optimizing Selection of Microsatellite Loci from 454 Pyrosequencing via Post-sequencing Bioinformatic Analyses." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-389-3_7.

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Shahsavarian, Melody, Thomas Watkins, Ponraj Prabakaran, Adrian Carr, Maria Wendt, and Yu Qiu. "Bioinformatic Analyses of Antibody Repertoires and Their Roles in Modern Antibody Drug Discovery." In Biopharmaceutical Informatics. CRC Press, 2025. https://doi.org/10.1201/9781003300311-4.

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Liu, Pan, and Zihua Song. "Exploring Hub Genes of Terahertz Wave Irradiation in the Mouse Cerebral Cortex via Bioinformatic Analyses." In Proceedings of the 5th China and International Young Scientist Terahertz Conference, Volume 1. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3786-4_42.

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Komiya, Reina, and Ken-Ichi Nonomura. "Isolation and Bioinformatic Analyses of Small RNAs Interacting with Germ Cell-Specific Argonaute in Rice." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-694-8_19.

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AL-Barakati, Hussam, Robert H. Newman, Dukka B. KC, and Leslie B. Poole. "Bioinformatic Analyses of Peroxiredoxins and RF-Prx: A Random Forest-Based Predictor and Classifier for Prxs." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2317-6_8.

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Zvi, Anat, Naomi Ariel, and Avigdor Shafferman. "Data Mining, Bioinformatic and Immunoinformatic Analyses of Francisella tularensis Schu S4 Genome in Search for Novel Vaccine Candidates." In The Challenge of Highly Pathogenic Microorganisms. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9054-6_25.

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Ötleş, Semih, Bahar Bakar, and Burcu Kaplan Türköz. "Bioinformatic Analysis." In Bioactive Peptides from Food. CRC Press, 2022. http://dx.doi.org/10.1201/9781003106524-20.

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Cecchetto, Matteo, Andrea Di Cesare, Ester Eckert, Isabella Moro, Diego Fontaneto, and Stefano Schiaparelli. "A Metabarcoding Protocol to Analyze Coastal Planktic Communities Collected by Desalination Plant Filters: From Sampling to Bioinformatic Exploratory Analyses." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2313-8_8.

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Dailey, Allyson L. "Metabolomic Bioinformatic Analysis." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6990-6_22.

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Conference papers on the topic "Bioinformatic analyses"

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Song, Yan, Xiaorui Zhang, Yiqiong Wang, et al. "Bioinformatics-based microsatellite DNA data mining and analysis." In 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), edited by Pier Paolo Piccaluga, Ahmed El-Hashash, and Xiangqian Guo. SPIE, 2024. http://dx.doi.org/10.1117/12.3044217.

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Rout, Trilochan, Sujata Chakravarty, and Dillip Kumar Muduly. "Bioinformatics in Cancer: Key Proteins and Pathway Analysis." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947804.

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Kasaian, Katayoon, Yaoqing Shen, Sreeja Leelakumari, et al. "Abstract 5340: Bioinformatic analyses approaches for personalized oncogenomics." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-5340.

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Minna, Emanuela, Silvia Brich, Katia Todoerti, et al. "Abstract 4071: Investigation of thyroid tumor microenvironment by immunohistochemical and bioinformatic analyses." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-4071.

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Odenkirk, Melanie, David Reif, and Erin Baker. "An online structural-based connectivity and omic phenotype evaluations (SCOPE) cheminformatics toolbox for lipidomic data visualization." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/nleu8917.

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Lipidomic analyses using mass spectrometry have traditionally been complicated by an abundance of isomeric species. The recent emergence of experimental platforms allowing for isomer separation has significantly benefitted lipidomic studies by allowing further speciation and the acquisition of species-specific information. Data interpretation for this detailed information, however, still faces challenges as existing lipid pathways are often defined such that single nodes represent entire lipid classes and not individual species (e.g., pathways may indicate that phosphatidylcholines as a class
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Галиева, А. Г., В. А. Кононов, Л. С. Самарина, and Ю. Л. Орлов. "APPLICATION OF MACHINE LEARNING TO THE STUDY OF PLANT STRESS RESISTANCE BASED ON SEQUENCING DATA." In Биотехнология в растениеводстве, животноводстве и сельскохозяйственной микробиологии. Crossref, 2021. http://dx.doi.org/10.48397/arriab.2021.21.xxi.003.

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Фундаментальная проблема исследования устойчивости растений к внешнему стрессу, вызванному в том числе патогенами, на молекулярном уровне требует применения новых междисциплинарных методов, основанных на биоинформационных подходах, анализе данных секвенирования, что в свою очередь предполагает разработку специализированных компьютерных инструментов. В данной работе мы рассматриваем несколько направлений разработки компьютерных программ моделирования генных сетей растений по данным высокопроизводительного геномного секвенирования, в том числе секвенирования патогенов растений (метагеном), созда
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Amgarten, Deyvid Emanuel, Raquel Riyuzo, Erick Dorlass, et al. "Cloud-based bioinformatics platform for the analysis and diagnosis of infectious diseases." In Resumos do 56º Congresso Brasileiro de Patologia Clínica/Medicina Laboratorial. Zeppelini Editorial e Comunicação, 2024. https://doi.org/10.5327/1516-3180.142s1.10231.

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Objective: Precision medicine has gained extensive use in laboratories worldwide for the diagnosis of genetic diseases, reproductive pathologies, and cancer. State-of-the-art bioinformatics pipelines and frameworks are currently available to aid physicians and laboratory analysts in interpreting results and generating reports. However, the same level of support may not be available for precision medicine applications in infectious diseases, which is largely dominated by traditional methods such as culturing, sorology, and PCR panels. Molecular sequencing-based tests, on the other hand, are sti
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Wei, Damu, and Canquan Mao. "Bioinformatics Analysis of -Synuclein." In 2nd International Conference on Civil, Materials and Environmental Sciences. Atlantis Press, 2015. http://dx.doi.org/10.2991/cmes-15.2015.159.

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Kumar, Vineet. "Cloud computing using bioinformatics MapReduce applications." In 2016 Symposium on Colossal Data Analysis and Networking (CDAN). IEEE, 2016. http://dx.doi.org/10.1109/cdan.2016.7570893.

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Wang, Xiran, Jiangang He, and Haoru Tang. "Bioinformatic Analysis of Strawberry Rbsc Gene." In 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/bbbs-18.2018.33.

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Reports on the topic "Bioinformatic analyses"

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Zhang, Dan, Jingting Liu, Mengxia zheng, Chunyan Meng, and Jianhua Liao. Prognostic and Clinicopathological significance of CD155 Expression in Cancer Patients: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0087.

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Review question / Objective: The present study aimed to comprehensively explore the relationship between CD155 expression and clinical characteristics and prognosis of cancer patients. The study was based on comprehensive search of relevant literature. In particular, the study attempted to define the role of CD155 in various cancer types. Eligibility criteria: The pre-established inclusion criteria were as follows: (1) all subjects were cancer patients who received standard treatment; (2) The expression of CD155 in the cancer patients was well-examined, and all patients were assigned into two
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Tarozzi, Martina Elena. Next Generation Sequencing Technologies, Bioinformatics and Artificial Intelligence: A Shared Time-line. MZB Standard Enterprise, 2024. http://dx.doi.org/10.57098/scirevs.biology.3.2.2.

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This review provides a comprehensive overview of the fast-paced and intertwined evolution of three pivotal fields: next-generation sequencing (NGS) technologies, bioinformatics, and artificial intelligence (AI). The paper begins by tracing the development of sequencing technologies and highlights how advancements in genetic sequencing have led to an explosion of biological data, necessitating the rise of bioinformatics for data management and analysis. The review next covers the primary steps and methods used in bioinformatic analysis and concludes by reporting some of the technical and biolog
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Muyle, Aline. Analysis of DNA Methylation. Instats Inc., 2024. http://dx.doi.org/10.61700/6ayq8hff26qxn1470.

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This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes. Led by Dr Aline Muyle, participants will gain theoretical knowledge and practical skills in data preprocessing, statistical analysis, and visualization using RStudio and various bioinformatic software using Bash scripts. The workshop is suited for researchers in Biostatistics, Biology, Genetics, Ecology, Evolution, Bioinformatics, Molecular Biology, and Medical Research.
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Rodriguez Muxica, Natalia. Open configuration options Bioinformatics for Researchers in Life Sciences: Tools and Learning Resources. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0003982.

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The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other c
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Gary J. Olsen. Bioinformatics for Genome Analysis. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/956994.

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Fromm, Hillel, Paul Michael Hasegawa, and Aaron Fait. Calcium-regulated Transcription Factors Mediating Carbon Metabolism in Response to Drought. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699847.bard.

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Original objectives: The long-term goal of the proposed research is to elucidate the transcription factors, genes and metabolic networks involved in carbon metabolism and partitioning in response to water deficit. The proposed research focuses on the GTLcalcium/calmodulinbindingTFs and the gene and metabolic networks modulated by these TFs in Arabidopsis thaliana. The specific objectives are as follows. Objective-1 (USA): Physiological analyses of GTL1 loss- and gain-of-function plants under water sufficient and drought stress conditions Objective 2 (USA / Israel-TAU): Characterizion of GTL ta
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Beckstrom-Sternberg, Stephen. Bioinformatic Tools for Metagenomic Analysis of Pathogen Backgrounds and Human Microbial Communities. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada581677.

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Altindis, E., R. Cozzi, B. Di Palo, et al. Protectome analysis: a new selective bioinformatics tool for bacterial vaccine candidate discovery. Cold Spring Harbor Laboratory, 2014. http://dx.doi.org/10.1101/002089.

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Harman, Gary E., and Ilan Chet. Enhancement of plant disease resistance and productivity through use of root symbiotic fungi. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695588.bard.

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Abstract:
The objectives of the project were to (a) compare effects ofT22 and T-203 on growth promotion and induced resistance of maize inbred line Mol7; (b) follow induced resistance of pathogenesis-related proteins through changes in gene expression with a root and foliar pathogen in the presence or absence of T22 or T-203 and (c) to follow changes in the proteome of Mol? over time in roots and leaves in the presence or absence of T22 or T-203. The research built changes in our concepts regarding the effects of Trichoderma on plants; we hypothesized that there would be major changes in the physiology
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Wang, Pengcheng. Association between paraoxonase 1 -108C/T polymorphism and coronary heart disease:an updated meta-analysis and bioinformatics analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.7.0065.

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