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Letteratura scientifica selezionata sul tema "Bioinformatics"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Bioinformatics"

1

Bottomley, S. "Bioinformatics: guide for evaluating bioinformatic software." Drug Discovery Today 4, no. 5 (1999): 240–43. http://dx.doi.org/10.1016/s1359-6446(99)01352-5.

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Eldəniz qızı Əhmədova, Gülnarə. "Inclusion of bioinformatics in biological sciences." NATURE AND SCIENCE 22, no. 7 (2022): 82–86. http://dx.doi.org/10.36719/2707-1146/22/82-86.

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Bioinformatika hesablama və biologiya elmlərinin birləşməsi kimi müəyyən edilə bilər. Proteomika və genomika tədqiqatları nəticəsində yaranan məlumatların daşqını emal etmək və təhlil etmək üçün aktuallıq bioinformatikanın önəm və əhəmiyyət qazanmasına səbəb oldu. Bununla belə, onun multidissiplinar təbiəti həm biologiya, həm də hesablama sahəsində hazırlanmış mütəxəssisə unikal tələbat yaratmışdır. İcmalda bioinformatika sahəsini təşkil edən komponentlər və bioinformatika təhsili olan fərdlərin yetişdirilməsi üçün tələb olunan fərqli təhsil meyarları təsvir edilib. Məqalə həm də Malayziyada b

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Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016039.

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Kangueane, Pandjassarame. "Biotechnology, Bioinformatics and BIOINFORMATION in an autobiography." Bioinformation 16, no. 1 (2020): 39–50. http://dx.doi.org/10.6026/97320630016050.

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Shams, Shakila, M. Abdus Sobhan, Farruk Ahmed, and Ali Shihab Sabbir. "Bioinformatics." International Journal of Science and Research (IJSR) 11, no. 7 (2022): 1073–75. http://dx.doi.org/10.21275/sr22706073504.

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Lee, Byung-Wook, In-Sun Chu, Nam-Shin Kim, et al. "Bioinformatics Resources of the Korean Bioinformation Center (KOBIC)." Genomics & Informatics 8, no. 4 (2010): 165–69. http://dx.doi.org/10.5808/gi.2010.8.4.165.

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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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Santos, Sílvia Regina Cavani Jorge. "Bioinformatics." Brazilian Journal of Pharmaceutical Sciences 47, no. 1 (2011): 193. http://dx.doi.org/10.1590/s1984-82502011000100024.

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Brokaw, Stephen. "Bioinformatics:." Journal of Pharmaceutical Marketing & Management 16, no. 4 (2005): 65–80. http://dx.doi.org/10.1300/j058v16n04_04.

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Persidis, Aris. "Bioinformatics." Nature Biotechnology 17, no. 8 (1999): 828–30. http://dx.doi.org/10.1038/11793.

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Tesi sul tema "Bioinformatics"

1

Hvidsten, Torgeir R. "Predicting Function of Genes and Proteins from Sequence, Structure and Expression Data." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4490.

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Hooper, Sean. "Dynamics of Microbial Genome Evolution." Doctoral thesis, Uppsala University, Molecular Evolution, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3283.

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<p>The success of microbial life on Earth can be attributed not only to environmental factors, but also to the surprising hardiness, adaptability and flexibility of the microbes themselves. They are able to quickly adapt to new niches or circumstances through gene evolution and also by sheer strength of numbers, where statistics favor otherwise rare events.</p><p>An integral part of adaptation is the plasticity of the genome; losing and acquiring genes depending on whether they are needed or not. Genomes can also be the birthplace of new gene functions, by duplicating and modifying existing ge

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Snøve, Jr Ola. "Hardware-accelerated analysis of non-protein-coding RNAs." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-713.

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<p>A tremendous amount of genomic sequence data of relatively high quality has become publicly available due to the human genome sequencing projects that were completed a few years ago. Despite considerable efforts, we do not yet know everything that is to know about the various parts of the genome, what all the regions code for, and how their gene products contribute in the myriad of biological processes that are performed within the cells. New high-performance methods are needed to extract knowledge from this vast amount of information.</p><p>Furthermore, the traditional view that DNA codes

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Björkholm, Patrik. "Method for recognizing local descriptors of protein structures using Hidden Markov Models." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11408.

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<p>Being able to predict the sequence-structure relationship in proteins will extend the scope of many bioinformatics tools relying on structure information. Here we use Hidden Markov models (HMM) to recognize and pinpoint the location in target sequences of local structural motifs (local descriptors of protein structure, LDPS) These substructures are composed of three or more segments of amino acid backbone structures that are in proximity with each other in space but not necessarily along the amino acid sequence. We were able to align descriptors to their proper locations in 41.1% of the cas

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Keller, Jens. "Clustering biological data using a hybrid approach : Composition of clusterings from different features." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1078.

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<p>Clustering of data is a well-researched topic in computer sciences. Many approaches have been designed for different tasks. In biology many of these approaches are hierarchical and the result is usually represented in dendrograms, e.g. phylogenetic trees. However, many non-hierarchical clustering algorithms are also well-established in biology. The approach in this thesis is based on such common algorithms. The algorithm which was implemented as part of this thesis uses a non-hierarchical graph clustering algorithm to compute a hierarchical clustering in a top-down fashion. It performs the

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Chawade, Aakash. "Inferring Gene Regulatory Networks in Cold-Acclimated Plants by Combinatorial Analysis of mRNA Expression Levels and Promoter Regions." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20.

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<p>Understanding the cold acclimation process in plants may help us develop genetically engineered plants that are resistant to cold. The key factor in understanding this process is to study the genes and thus the gene regulatory network that is involved in the cold acclimation process. Most of the existing approaches1-8 in deriving regulatory networks rely only on the gene expression data. Since the expression data is usually noisy and sparse the networks generated by these approaches are usually incoherent and incomplete. Hence a new approach is proposed here that analyzes the promoter regio

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Muhammad, Ashfaq. "Design and Development of a Database for the Classification of Corynebacterium glutamicum Genes, Proteins, Mutants and Experimental Protocols." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-23.

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<p>Coryneform bacteria are largely distributed in nature and are rod like, aerobic soil bacteria capable of growing on a variety of sugars and organic acids. Corynebacterium glutamicum is a nonpathogenic species of Coryneform bacteria used for industrial production of amino acids. There are three main publicly available genome annotations, Cg, Cgl and NCgl for C. glutamicum. All these three annotations have different numbers of protein coding genes and varying numbers of overlaps of similar genes. The original data is only available in text files. In this format of genome data, it was not easy

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Chen, Lei. "Construction of Evolutionary Tree Models for Oncogenesis of Endometrial Adenocarcinoma." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25.

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<p>Endometrial adenocarcinoma (EAC) is the fourth leading cause of carcinoma in woman worldwide, but not much is known about genetic factors involved in this complex disease. During the EAC process, it is well known that losses and gains of chromosomal regions do not occur completely at random, but partly through some flow of causality. In this work, we used three different algorithms based on frequency of genomic alterations to construct 27 tree models of oncogenesis. So far, no study about applying pathway models to microsatellite marker data had been reported. Data from genome–wide scans wi

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Dodda, Srinivasa Rao. "Improvements and extensions of a web-tool for finding candidate genes associated with rheumatoid arthritis." Thesis, University of Skövde, School of Humanities and Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-26.

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<p>QuantitativeTraitLocus (QTL) is a statistical method used to restrict genomic regions contributing to specific phenotypes. To further localize genes in such regions a web tool called “Candidate Gene Capture” (CGC) was developed by Andersson et al. (2005). The CGC tool was based on the textual description of genes defined in the human phenotype database OMIM. Even though the CGC tool works well, the tool was limited by a number of inconsistencies in the underlying database structure, static web pages and some gene descriptions without properly defined function in the OMIM database. Hence, in

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Huque, Enamul. "Shape Analysis and Measurement for the HeLa cell classification of cultured cells in high throughput screening." Thesis, University of Skövde, School of Humanities and Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-27.

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<p>Feature extraction by digital image analysis and cell classification is an important task for cell culture automation. In High Throughput Screening (HTS) where thousands of data points are generated and processed at once, features will be extracted and cells will be classified to make a decision whether the cell-culture is going on smoothly or not. The culture is restarted if a problem is detected. In this thesis project HeLa cells, which are human epithelial cancer cells, are selected for the experiment. The purpose is to classify two types of HeLa cells in culture: Cells in cleavage that

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Più fonti

Libri sul tema "Bioinformatics"

1

Ignacimuthu, S. Basic bioinformatics. Alpha Science International, 2005.

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2

Keith, Jonathan M., ed. Bioinformatics. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6613-4.

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Keith, Jonathan M., ed. Bioinformatics. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6622-6.

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Baxevanis, Andreas D., and B. F. Francis Ouellette, eds. Bioinformatics. John Wiley & Sons, Inc., 2001. http://dx.doi.org/10.1002/0471223921.

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Keith, Jonathan M., ed. Bioinformatics. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-159-2.

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Hofestädt, Ralf, Thomas Lengauer, Markus Löffler, and Dietmar Schomburg, eds. Bioinformatics. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0033198.

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Edwards, David, Jason Stajich, and David Hansen, eds. Bioinformatics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-92738-1.

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Keith, Jonathan M., ed. Bioinformatics. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-429-6.

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Ramsden, Jeremy. Bioinformatics. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6702-0.

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Baxevanis, Andreas D., and B. F. Francis Ouellette, eds. Bioinformatics. John Wiley & Sons, Inc., 1998. http://dx.doi.org/10.1002/9780470110607.

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Capitoli di libri sul tema "Bioinformatics"

1

Kangueane, Pandjassarame. "Bioinformatics for Bioinformation." In Bioinformation Discovery. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95327-4_1.

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Miguel Ortega, J., and Fabrício R. Santos. "Bioinformatics." In Omics in Plant Breeding. John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781118820971.ch9.

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Roy, Somak, Liron Pantanowitz, and Anil V. Parwani. "Bioinformatics." In Practical Informatics for Cytopathology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9581-9_18.

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Bastolla, Ugo. "Bioinformatics." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11274-4_1751.

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Mooney, Sean D., Jessica D. Tenenbaum, and Russ B. Altman. "Bioinformatics." In Biomedical Informatics. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4474-8_24.

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Nahler, Gerhard. "bioinformatics." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_121.

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Juan, Hsueh-Fen, and Hsuan-Cheng Huang. "Bioinformatics." In Methods in Molecular Biology. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-304-2_25.

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Frenz, Christopher. "Bioinformatics." In Visual Basic and Visual Basic .NET for Scientists and Engineers. Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-1139-6_14.

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Bastolla, Ugo. "Bioinformatics." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_1751.

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Sticht, Heinrich. "Bioinformatics." In Chemoinformatics. Wiley-VCH Verlag GmbH & Co. KGaA, 2018. http://dx.doi.org/10.1002/9783527816880.ch13.

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Atti di convegni sul tema "Bioinformatics"

1

Mukherjee, Sumita, Kavita Thapliyal, Alka Maurya, Naina Chaudhary, and Sushree Sudeshna. "AI in Bioinformatics and Genomics." In 2024 International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM). IEEE, 2024. https://doi.org/10.1109/iipem62726.2024.10925681.

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Moore, Jason H. "Bioinformatics." In the 2007 GECCO conference companion. ACM Press, 2007. http://dx.doi.org/10.1145/1274000.1274120.

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Moore, Jason H. "Bioinformatics." In the 12th annual conference comp. ACM Press, 2010. http://dx.doi.org/10.1145/1830761.1830906.

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"Bioinformatics track - bioinformatics track co-chairs." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems. IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610107.

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"Bioinformatics track - chair: Bioinformatics track co-chairs." In 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems. IEEE, 2007. http://dx.doi.org/10.1109/bimnics.2007.4610110.

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Jones, Warren T., and Hasan M. Jamil. "Bioinformatics track." In the 2002 ACM symposium. ACM Press, 2002. http://dx.doi.org/10.1145/508791.508821.

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Hiew, Hong Liang, Matthew Bellgard, Tuan D. Pham, and Xiaobo Zhou. "A Bioinformatics Reference Model: Towards a Framework for Developing and Organising Bioinformatic Resources." In COMPUTATIONAL MODELS FOR LIFE SCIENCES/CMLS '07. AIP, 2007. http://dx.doi.org/10.1063/1.2816640.

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Wasnik, S., P. Donachy, T. Harmer, et al. "GeneGrid: From "Virtual" Bioinformatics Laboratory to "Smart" Bioinformatics Laboratory." In Proceedings. 19th IEEE International Symposium on Computer-Based Medical Systems. IEEE, 2006. http://dx.doi.org/10.1109/cbms.2006.90.

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"Applications II: Bioinformatics." In CLADE 2005. Proceedings Challenges of Large Applications in Distributed Environments, 2005. IEEE, 2005. http://dx.doi.org/10.1109/clade.2005.1520900.

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TENENBAUM, JESSICA D., SUBHA MADHAVAN, ROBERT R. FREIMUTH, JOSHUA C. DENNY, and LEWIS FREY. "TRANSLATIONAL BIOINFORMATICS 101." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814749411_0050.

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Rapporti di organizzazioni sul tema "Bioinformatics"

1

Davenport, Karen Walston, Chien-Chi Lo, Po-E. Li, Migun Shakya, and Patrick Sam Guy Chain. EDGE Bioinformatics. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1503175.

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2

Carr, Peter A., Darrell O. Ricke, and Anna Shcherbina. Bioinformatics Challenge Days. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada591640.

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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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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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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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Holm, Bruce. NYS Center of Excellence in Bioinformatics. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada441201.

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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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Lefkowitz, Elliot J. Development of a Viral Biological-Threat Bioinformatics Resource. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419009.

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Brueggemeier, Robert W. Drug Discovery and Structural Bioinformatics in Breast Cancer. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada384146.

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Flanagan, Meg L., Terrance J. Leighton, and Joseph P. Dudley. Anticipating Viral Species Jumps: Bioinformatics and Data Needs. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada555216.

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