We are proudly a Ukrainian website. Our country was attacked by Russian Armed Forces on Feb. 24, 2022.
You can support the Ukrainian Army by following the link: https://u24.gov.ua/.
Even the smallest donation is hugely appreciated!
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Machen Sie sich mit Top-50 Zeitschriftenartikel für die Forschung zum Thema "Engineering, Computer|Biology, Bioinformatics|Computer Science" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Sehen Sie die Zeitschriftenartikel für verschiedene Spezialgebieten durch und erstellen Sie Ihre Bibliographie auf korrekte Weise.
1
Paraskevopoulou-Kollia, Efrosyni-Alkisti, und Pantelis G. Bagos. „Bioinformatics Education in Greece: A Survey“. Biosaintifika: Journal of Biology & Biology Education 9, Nr. 1 (12.03.2017): 1. http://dx.doi.org/10.15294/biosaintifika.v9i1.7257.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
<p>Bioinformatics is an interdisciplinary field, placed at the interface of Biology, Mathematics and Computer Science. In this work, we tried for the first time to investigate the current situation of Bioinformatics education in Greece. We searched the online resources of all relevant University Departments for Bioinformatics or relevant courses. We found that all the Departments of Biological Sciences include in their curricula courses dedicated to Bioinformatics, but this is not the case for Departments of Computer Science, Computer Engineering, or Medical Schools. Despite the fact that large Universities played a crucial role in establishing Bioinformatics research and education in Greece, we observe that Universities of the periphery invest in the field, by including more relevant courses in the curricula and appointing faculty members trained in the field. In order for us to “triangulate” we didn’t confine ourselves to online resources and descriptive statistics but we also included interviews so as to have a more spherical view of the subject under discussion. The interviews provided useful insights regarding the teaching methods used by bioinformatics tutors, their attitudes and the difficulties they encounter. The tutors mentioned also the material that they choose, the audience’s attraction techniques and the feedback they receive.</p>
2
ADEBO, PHILIP. „A PRIMER ON BIOINFORMATICS“. International Journal of Advanced Research in Computer Science and Software Engineering 8, Nr. 4 (01.05.2018): 9. http://dx.doi.org/10.23956/ijarcsse.v8i4.589.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
ABSTRACT Today biological research is experiencing explosive growth in academic, industry, and government sectors. Bioinformatics has emerged to make sense of such high volume and complex data. It is an interdisciplinary field that combines computer science, biology, engineering, and mathematics in order to develop methods, techniques, and tools for analyzing and interpreting biological data. It uses computational approaches to solve complex biological problems and analyze large-volume of biological data. This paper provides a primer on bioinformatics.
3
Doom, T., M. Raymer, D. Krane und O. Garcia. „Crossing the interdisciplinary barrier: a baccalaureate computer science option in bioinformatics“. IEEE Transactions on Education 46, Nr. 3 (August 2003): 387–93. http://dx.doi.org/10.1109/te.2003.814593.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
4
Heinemann, M., und S. Panke. „Synthetic biology--putting engineering into biology“. Bioinformatics 22, Nr. 22 (05.09.2006): 2790–99. http://dx.doi.org/10.1093/bioinformatics/btl469.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
5
Kovats, Diane, Ron Shamir und Christiana Fogg. „Bonnie Berger named ISCB 2019 ISCB Accomplishments by a Senior Scientist Award recipient“. F1000Research 8 (23.05.2019): 721. http://dx.doi.org/10.12688/f1000research.19219.1.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
The International Society for Computational Biology (ISCB) honors a leader in the fields of computational biology and bioinformatics each year with the Accomplishments by a Senior Scientist Award. This award is the highest honor conferred by ISCB to a scientist who is recognized for significant research, education, and service contributions. Bonnie Berger, Simons Professor of Mathematics and Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) is the 2019 recipient of the Accomplishments by a Senior Scientist Award. She is receiving her award and presenting a keynote address at the 2019 Joint International Conference on Intelligent Systems for Molecular Biology/European Conference on Computational Biology in Basel, Switzerland on July 21-25, 2019.
6
Linshiz, Gregory, Alex Goldberg, Tania Konry und Nathan J. Hillson. „The Fusion of Biology, Computer Science, and Engineering: Towards Efficient and Successful Synthetic Biology“. Perspectives in Biology and Medicine 55, Nr. 4 (2012): 503–20. http://dx.doi.org/10.1353/pbm.2012.0044.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
7
Likić, Vladimir A., Malcolm J. McConville, Trevor Lithgow und Antony Bacic. „Systems Biology: The Next Frontier for Bioinformatics“. Advances in Bioinformatics 2010 (09.02.2010): 1–10. http://dx.doi.org/10.1155/2010/268925.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Biochemical systems biology augments more traditional disciplines, such as genomics, biochemistry and molecular biology, by championing (i) mathematical and computational modeling; (ii) the application of traditional engineering practices in the analysis of biochemical systems; and in the past decade increasingly (iii) the use of near-comprehensive data sets derived from ‘omics platform technologies, in particular “downstream” technologies relative to genome sequencing, including transcriptomics, proteomics and metabolomics. The future progress in understanding biological principles will increasingly depend on the development of temporal and spatial analytical techniques that will provide high-resolution data for systems analyses. To date, particularly successful were strategies involving (a) quantitative measurements of cellular components at the mRNA, protein and metabolite levels, as well as in vivo metabolic reaction rates, (b) development of mathematical models that integrate biochemical knowledge with the information generated by high-throughput experiments, and (c) applications to microbial organisms. The inevitable role bioinformatics plays in modern systems biology puts mathematical and computational sciences as an equal partner to analytical and experimental biology. Furthermore, mathematical and computational models are expected to become increasingly prevalent representations of our knowledge about specific biochemical systems.
8
Shegogue, Daniel, und W. Jim Zheng. „Object-oriented biological system integration: a SARS coronavirus example“. Bioinformatics 21, Nr. 10 (24.02.2005): 2502–9. http://dx.doi.org/10.1093/bioinformatics/bti344.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract Motivation The importance of studying biology at the system level has been well recognized, yet there is no well-defined process or consistent methodology to integrate and represent biological information at this level. To overcome this hurdle, a blending of disciplines such as computer science and biology is necessary. Results By applying an adapted, sequential software engineering process, a complex biological system (severe acquired respiratory syndrome-coronavirus viral infection) has been reverse-engineered and represented as an object-oriented software system. The scalability of this object-oriented software engineering approach indicates that we can apply this technology for the integration of large complex biological systems. Availability A navigable web-based version of the system is freely available at http://people.musc.edu/~zhengw/SARS/Software-Process.htm Contact zhengw@musc.edu Supplementary information Supplemental data: Table 1 and Figures 1–16.
9
Miller, W., S. Schwartz und R. C. Hardison. „A point of contact between computer science and molecular biology“. IEEE Computational Science and Engineering 1, Nr. 1 (1994): 69–78. http://dx.doi.org/10.1109/99.295375.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
10
Tadmor, Brigitta, und Bruce Tidor. „Interdisciplinary research and education at the biology–engineering–computer science interface: a perspective“. Drug Discovery Today 10, Nr. 17 (September 2005): 1183–89. http://dx.doi.org/10.1016/s1359-6446(05)03540-3.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
11
Cuthill, I. C., und T. S. Troscianko. „Animal camouflage: biology meets psychology, computer science and art“. International Journal of Design & Nature and Ecodynamics 4, Nr. 3 (29.01.2010): 183–202. http://dx.doi.org/10.2495/dne-v4-n3-183-202.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
12
Mertz, L. „Creating Accurate Models of Life: Merging Biology and Computer Science“. IEEE Pulse 4, Nr. 2 (März 2013): 16–25. http://dx.doi.org/10.1109/mpul.2013.2244961.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
13
Lawlor, Brendan, und Roy D. Sleator. „The roles of code in biology“. Science Progress 104, Nr. 2 (April 2021): 003685042110105. http://dx.doi.org/10.1177/00368504211010570.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
The way in which computer code is perceived and used in biological research has been a source of some controversy and confusion, and has resulted in sub-optimal outcomes related to reproducibility, scalability and productivity. We suggest that the confusion is due in part to a misunderstanding of the function of code when applied to the life sciences. Code has many roles, and in this paper we present a three-dimensional taxonomy to classify those roles and map them specifically to the life sciences. We identify a “sweet spot” in the taxonomy—a convergence where bioinformaticians should concentrate their efforts in order to derive the most value from the time they spend using code. We suggest the use of the “inverse Conway maneuver” to shape a research team so as to allow dedicated software engineers to interface with researchers working in this “sweet spot.” We conclude that in order to address current issues in the use of software in life science research such as reproducibility and scalability, the field must reevaluate its relationship with software engineering, and adapt its research structures to overcome current issues in bioinformatics such as reproducibility, scalability and productivity.
14
Zhang, Chuanlei, und Samar Swaid. „Undergraduate Research Experience For STEM Students: Efforts And Outcomes“. Contemporary Issues in Education Research (CIER) 10, Nr. 4 (29.09.2017): 213–18. http://dx.doi.org/10.19030/cier.v10i4.10034.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Undergraduate research for STEM students involves students who are attending college or universities pursuing a bachelor's degree, majoring in fields related to Science, Technology, Engineering and Mathematics(STEM). Research experience for STEM undergraduates has been viewed as a positive experience that has several benefits such as developing intellectual mentality, enhancing teamwork skills and improving preparation for graduate study. In this paper, we provide an overview of HBCU-UP research experience with STEM students at Philander Smith College for the last few years. Projects in Bioinformatics and Human-Computer Interaction of two Computer Science faculty and their teams are shared. Efforts in implementing research experiences and outcomes of these efforts are discussed.
15
Yuan, Le, Yu Tian, Shaozhen Ding, Yanfang Liu, Fu Chen, Tong Zhang, Weizhong Tu, Junni Chen und Qian-Nan Hu. „PrecursorFinder: a customized biosynthetic precursor explorer“. Bioinformatics 35, Nr. 9 (10.10.2018): 1603–4. http://dx.doi.org/10.1093/bioinformatics/bty838.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract Summary Synthetic biology has a great potential to produce high value pharmaceuticals, commodities or bulk chemicals. However, many biosynthetic target molecules have no defined or predicted biosynthetic pathways. Biosynthetic precursors are crucial to create biosynthetic pathways. Thus computer-assisted tools for precursor identification are urgently needed to develop novel metabolic pathways. To this end, we present PrecursorFinder, a computational tool that explores biosynthetic precursors for the query target molecules using chemical structure, similarity as well as MCS (maximum common substructure). This platform comprises more than 60 000 compounds biosynthesized for being promising precursors, which are extracted from >500 000 scientific literatures and manually curated by more than 100 people over the past 8 years. The PrecursorFinder could speed up the process of biosynthesis research and make synthetic biology or metabolic engineering more efficient. Availability and implementation PrecursorFinder is available at: http://www.rxnfinder.org/precursorfinder/. Supplementary information Supplementary data are available at Bioinformatics online.
16
Zheng, H., K. C. Wiese und F. Azuaje. „Special Section on Bioinformatics and Computational Biology“. IEEE Transactions on NanoBioscience 4, Nr. 3 (September 2005): 205–6. http://dx.doi.org/10.1109/tnb.2005.853643.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
17
Tadmor, Brigitta, und Bruce Tidor. „Interdisciplinary research and education at the biology-engineering-computer science interface: a perspective (reprinted article)“. Drug Discovery Today 10, Nr. 23-24 (Dezember 2005): 1706–12. http://dx.doi.org/10.1016/s1359-6446(05)03702-5.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
19
Wigertz, O., J. Persson und H. Ahlfeldt. „Teaching Medical Informatics to Biomedical Engineering Students: Experiences over 15 Years“. Methods of Information in Medicine 28, Nr. 04 (Oktober 1989): 309–12. http://dx.doi.org/10.1055/s-0038-1636807.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract:The Departments of Biomedical Engineering and Medical Informatics at Linkoping University in Sweden were established in 1972-1973. The main purpose was to develop and offer courses in medicine, biomedical engineering and medical informatics to students in electrical engineering and computer science, for a specialization in biomedical engineering and medical informatics. The courses total about 400 hours of scheduled study in the subjects of basic cell biology, basic medicine (terminology, anatomy, physiology), biomedical engineering and medical informatics. Laboratory applications of medical computing are mainly taught in biomedical engineering courses, whereas clinical information systems, knowledge based decision support and computer science aspects are included within the medical informatics courses.
20
Chu, Yul, und Jin Hwan Park. „An Effective Model for Computer System Building Projects in Computer Engineering and Computer Science“. International Journal of Information and Education Technology 5, Nr. 6 (2015): 432–36. http://dx.doi.org/10.7763/ijiet.2015.v5.544.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
21
Sharkey, N., und A. Sharkey. „Electro-mechanical robots before the computer“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, Nr. 1 (01.12.2008): 235–41. http://dx.doi.org/10.1243/09544062jmes1262.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
There were several electro-mechanical robots in the period leading up to the birth of the Journal of Mechanical Engineering Science in 1959. The authors examine the rise and fall of the electro-mechanical robot in the early twentieth century. After exploring the roots and uses of the term ‘robot’, a historical survey of the early landmark robots is provided. Some were controlled remotely by wireless radio signals or by selectively operating relays with whistle tones or by converting sound into light. Long before the invention of the modern digital computer, there were robots working autonomously with simple sensing and open-loop control. There were even learning machines. Many of the machines were inspired by and in turn inspired the development of mechanistic biology in the early twentieth century. The article ends with the demise of the electro-mechanical robot as the computer is developed and the new artificial intelligence takes hold.
22
WODAK, SHOSHANA J. „Computer-Aided Design in Protein Engineering“. Annals of the New York Academy of Sciences 501, Nr. 1 Enzyme Engine (Juni 1987): 1–13. http://dx.doi.org/10.1111/j.1749-6632.1987.tb45678.x.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Bioinformatics, for its very nature, is devoted to a set of targets that constantly evolve. Training is probably the best response to the constant need for the acquisition of bioinformatics skills. It is interesting to assess the effects of training in the different sets of researchers that make use of it. While training bench experimentalists in the life sciences, we have observed instances of changes in their attitudes in research that, if well exploited, can have beneficial impacts in the dialogue with professional bioinformaticians and influence the conduction of the research itself.
24
El-Hout, Mona, Alexandra Garr-Schultz und Sapna Cheryan. „Beyond biology: The importance of cultural factors in explaining gender disparities in STEM preferences“. European Journal of Personality 35, Nr. 1 (Januar 2021): 45–50. http://dx.doi.org/10.1177/0890207020980934.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Gender disparities in participation in many STEM fields, particularly computer science, engineering, and physics, remain prevalent in Western societies. Stewart-Williams and Halsey contend that an important contributor to these disparities is gender differences in career-related preferences that are driven partly by biology. We argue that Stewart-Williams and Halsey understate the influence of cultural factors in shaping these preferences. We provide evidence for an important and overlooked cultural factor that contributes to gender disparities in computer science, engineering, and physics: masculine defaults. Masculine defaults exist when cultures value and reward traits and characteristics associated with the male gender role and see them as standard ( Cheryan & Markus, 2020 ). We provide examples of how changing computer science, engineering, and physics cultures can decrease gender disparities in participation. Finally, we discuss policy implications, specifically the importance of (1) recognizing that preferences for STEM are malleable and (2) addressing exclusionary cultures of STEM fields. Recognizing and changing exclusionary STEM cultures are important for creating a society that is more just and equitable.
25
Nimnual, Anjaruwee S., Steffen Mueller und Charles B. Ward. „Building new genomes: Chemical synthesis of algorithmically designed attenuated viruses“. Biochemist 33, Nr. 1 (01.02.2011): 32–35. http://dx.doi.org/10.1042/bio03301032.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Synthetic biology combines the disciplines of biology, computer science, engineering, mathematics and chemistry, providing methods to understand biological systems that could not have been imagined just decades ago. Vaccine technology is one of the medical fields that tremendously benefit from synthetic biology. Chemical synthesis of computationally redesigned viruses offers a new paradigm in vaccine technology.
26
Dorgham, Doaa M. Talaat, Nahla A. Belal und Walid Abdelmoez. „Early Performance Prediction in Bioinformatics Systems Using Palladio Component Modeling“. Applied Sciences 11, Nr. 12 (11.06.2021): 5426. http://dx.doi.org/10.3390/app11125426.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Bioinformatics is a branch of science that uses computers, algorithms, and databases to solve biological problems. To achieve more accurate results, researchers need to use large and complex datasets. Sequence alignment is a well-known field of bioinformatics that allows the comparison of different genomic sequences. The comparative genomics field allows the comparison of different genomic sequences, leading to benefits in areas such as evolutionary biology, agriculture, and human health (e.g., mutation testing connects unknown genes to diseases). However, software engineering best practices, such as software performance engineering, are not taken into consideration in most bioinformatics tools and frameworks, which may lead to serious performance problems. Having an estimate of the software performance in the early phases of the Software Development Life Cycle (SDLC) is beneficial in making better decisions relating to the software design. Software performance engineering provides a reliable and observable method to build systems that can achieve their required performance goals. In this paper, we introduce the use of the Palladio Component Modeling (PCM) methodology to predict the performance of a sequence alignment system. Software performance engineering was not considered during the original system development. As a result of the performance analysis, an alternative design is proposed. Comparing the performance of the proposed design against the one already developed, a better response time is obtained. The response time of the usage scenario is reduced from 16 to 8.6 s. The study results show that using performance models at early stages in bioinformatics systems can help to achieve better software system performance.
27
AbdelBaky, Moustafa, Javier Diaz-Montes und Manish Parashar. „Software-defined environments for science and engineering“. International Journal of High Performance Computing Applications 32, Nr. 1 (15.06.2017): 104–22. http://dx.doi.org/10.1177/1094342017710706.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Service-based access models coupled with recent advances in application deployment technologies are enabling opportunities for realizing highly customized software-defined environments that can achieve new levels of efficiencies and can support emerging dynamic and data-driven applications. However, achieving this vision requires new models that can support dynamic (and opportunistic) compositions of infrastructure services, which can adapt to evolving application needs and the state of resources. In this article, we present a programmable dynamic infrastructure service composition approach that uses software-defined environment concepts to control the composition process. The resulting software-defined infrastructure service composition adapts to meet objectives and constraints set by the users, applications, and/or resource providers. We present and compare two different approaches for programming resources and controlling the service composition, one that is based on a rule engine and another that leverages a constraint programming model for resource description. We present the design and prototype implementation of such software-defined service composition and demonstrate its operation through a use case where multiple views of heterogeneous, geographically distributed services are aggregated on demand based on user and resource provider specifications. The resulting compositions are used to run different bioinformatics workloads, which are encapsulated inside Docker containers. Each view independently adapts to various constraints and events that are imposed on the system while minimizing the workload completion time.
28
Stromback, Lena, und Juliana Freire. „XML Management for Bioinformatics Applications“. Computing in Science & Engineering 13, Nr. 5 (September 2011): 12–23. http://dx.doi.org/10.1109/mcse.2010.100.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
29
García-Jiménez, Beatriz, Tomás de la Rosa und Mark D. Wilkinson. „MDPbiome: microbiome engineering through prescriptive perturbations“. Bioinformatics 34, Nr. 17 (01.09.2018): i838—i847. http://dx.doi.org/10.1093/bioinformatics/bty562.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
AbstractMotivationThe computer-aided design of metabolic intervention strategies has become a key component of an integrated metabolic engineering approach and a broad range of methods and algorithms has been developed for this task. Many of these algorithms enforce coupling of growth with product synthesis and may return thousands of possible intervention strategies from which the most suitable strategy must then be selectedResultsThis work focuses on how to evaluate and rank, in a meaningful way, a given pool of computed metabolic engineering strategies for growth-coupled product synthesis. Apart from straightforward criteria, such as a preferably small number of necessary interventions, a reasonable growth rate and a high product yield, we present several new criteria useful to pick the most suitable intervention strategy. Among others, we investigate the robustness of the intervention strategies by searching for metabolites that may disrupt growth coupling when accumulated or secreted and by checking whether the interventions interrupt pathways at their origin (preferable) or at downstream steps. We also assess thermodynamic properties of the pathway(s) favored by the intervention strategy. Furthermore, strategies that have a significant overlap with alternative solutions are ranked higher because they provide flexibility in implementation. We also introduce the notion of equivalence classes for grouping intervention strategies with identical solution spaces. Our ranking procedure involves in total ten criteria and we demonstrate its applicability by assessing knockout-based intervention strategies computed in a genome-scale model of E.coli for the growth-coupled synthesis of l-methionine and of the heterologous product 1,4-butanediol.Availability and implementationThe MATLAB scripts that were used to characterize and rank the example intervention strategies are available at http://www2.mpi-magdeburg.mpg.de/projects/cna/etcdownloads.html.Supplementary informationSupplementary data are available at Bioinformatics online.
31
Lamanauskas, Vincentas. „SOME ISSUES ON BIOLOGY EDUCATION: AN INTERVIEW WITH ANDREJ ŠORGO“. GAMTAMOKSLINIS UGDYMAS / NATURAL SCIENCE EDUCATION 13, Nr. 3 (25.12.2016): 122–26. http://dx.doi.org/10.48127/gu-nse/16.13.122.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Dr. Andrej Šorgo is Associate Professor of Biology Didactics at the Faculty of Natural Sciences and Mathematics, and a part time researcher at the Faculty of Electrical Engineering and Computer Science, University of Maribor. He got his Masters and PhD degrees in Biology from the University of Ljubljana. He has published textbooks and research articles and presented his work at a number of conferences. He has additionally over 20 years of experience as a secondary and higher vocational school teacher. He has won the award “Most innovative secondary school teacher”. More information is available online at: http://biologija.fnm.uni-mb.si/index.php?option=com_content&view=article&id=55&Itemid=7&lang=en
32
Serіk, Meruert, Gulmira Yerlanova, Nursaule Karelkhan und Nurlykhan Temirbekov. „The Use of The High-Performance Computing in The Learning Process“. International Journal of Emerging Technologies in Learning (iJET) 16, Nr. 17 (06.09.2021): 240. http://dx.doi.org/10.3991/ijet.v16i17.22889.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
The need for specialists with high-performance computing skills is growing day by day. This is due to the fact that the high-performance process of processing big data is one of the most pressing problems today. This is especially important in science, economics, physical modeling, medicine, bioinformatics, weather forecasting, etc.
This article analyzes the conditions for teaching high-performance computing, the experience of leading universities in the world, and it is established that teaching high-performance computing requires study. High performance computing training was carried out on 3 different hardware equipment (a personal computer, a supercomputer “Param-Bilim” India – Kazakhstan Centre of Excellence in ICT [IKCOEICT] at L.N. Gumilyov Eurasian National University and a quantum computer in the cloud IBM Quantum Experience) using different algorithms in the C ++ and Phyton programming languages. The effectiveness of the calculation results in the educational process was determined as a result of the completed questionnaire.
33
Torres, Marcelo D. T., Jicong Cao, Octavio L. Franco, Timothy K. Lu und Cesar de la Fuente-Nunez. „Synthetic Biology and Computer-Based Frameworks for Antimicrobial Peptide Discovery“. ACS Nano 15, Nr. 2 (04.02.2021): 2143–64. http://dx.doi.org/10.1021/acsnano.0c09509.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
34
Prokop, Martin, Jan Adam, Zdeněk Kříž, Michaela Wimmerová und Jaroslav Koča. „TRITON: a graphical tool for ligand-binding protein engineering“. Bioinformatics 24, Nr. 17 (04.07.2008): 1955–56. http://dx.doi.org/10.1093/bioinformatics/btn344.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
36
Jiang, Shouyong, Yong Wang, Marcus Kaiser und Natalio Krasnogor. „NIHBA: a network interdiction approach for metabolic engineering design“. Bioinformatics 36, Nr. 11 (13.03.2020): 3482–92. http://dx.doi.org/10.1093/bioinformatics/btaa163.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract Motivation Flux balance analysis (FBA) based bilevel optimization has been a great success in redesigning metabolic networks for biochemical overproduction. To date, many computational approaches have been developed to solve the resulting bilevel optimization problems. However, most of them are of limited use due to biased optimality principle, poor scalability with the size of metabolic networks, potential numeric issues or low quantity of design solutions in a single run. Results Here, we have employed a network interdiction model free of growth optimality assumptions, a special case of bilevel optimization, for computational strain design and have developed a hybrid Benders algorithm (HBA) that deals with complicating binary variables in the model, thereby achieving high efficiency without numeric issues in search of best design strategies. More importantly, HBA can list solutions that meet users’ production requirements during the search, making it possible to obtain numerous design strategies at a small runtime overhead (typically ∼1 h, e.g. studied in this article). Availability and implementation Source code implemented in the MATALAB Cobratoolbox is freely available at https://github.com/chang88ye/NIHBA. Contact math4neu@gmail.com or natalio.krasnogor@ncl.ac.uk Supplementary information Supplementary data are available at Bioinformatics online.
37
Farza, Mondher, und Arlette Chéruy. „BIOESTIM: software for automatic design of estimators in bioprocess engineering“. Bioinformatics 10, Nr. 5 (1994): 477–88. http://dx.doi.org/10.1093/bioinformatics/10.5.477.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
38
Jiang, K., J. Z. Heng, S. B. Higgins, D. M. Watterson, T. A. Craig, T. J. Lukas und L. J. Van Eldik. „A knowledge-based experimental design system for nucleic acid engineering“. Bioinformatics 6, Nr. 3 (1990): 205–12. http://dx.doi.org/10.1093/bioinformatics/6.3.205.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
39
Catravas, P., K. Bubriski, M. D. Frey, M. E. Hagerman, B. Cohen, J. J. McGee und S. S. Bowser. „NanoGrande: Electron Microscopy Education and Outreach Through a Collaboration of Scientists and Artists“. Microscopy Today 21, Nr. 2 (März 2013): 42–46. http://dx.doi.org/10.1017/s1551929513000023.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
NanoGrande is the culmination of an art-science effort that brought undergraduate students and faculty from science, engineering, and the visual arts together with professional microscopists of the Capital District Microscopy and Microanalysis Society for electron microscopy education and outreach. Students from two independent undergraduate courses, an advanced photography course and a microscopy laboratory course, collaborated on the project. The participants represented a wide range of majors, including chemistry, biology, electrical engineering, computer engineering, mechanical engineering, bioengineering, psychology, neuroscience, sociology/social sciences, history, and the visual arts. Emphasis was placed on both the scientific and the artistic aspects of the imaging process. The creation of electron microscopy images that were at the same time scientifically meaningful and visually compelling depended critically on communication of insights and ideas between paired students. The collaboration generated an art-science exhibition, NanoGrande, that has been presented to over four-thousand K through 12 students.
40
Groseclose, Thomas M., Ronald E. Rondon, Ashley N. Hersey, Prasaad T. Milner, Dowan Kim, Fumin Zhang, Matthew J. Realff und Corey J. Wilson. „Biomolecular Systems Engineering: Unlocking the Potential of Engineered Allostery via the Lactose Repressor Topology“. Annual Review of Biophysics 50, Nr. 1 (06.05.2021): 303–21. http://dx.doi.org/10.1146/annurev-biophys-090820-101708.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Allosteric function is a critical component of many of the parts used to construct gene networks throughout synthetic biology. In this review, we discuss an emerging field of research and education, biomolecular systems engineering, that expands on the synthetic biology edifice—integrating workflows and strategies from protein engineering, chemical engineering, electrical engineering, and computer science principles. We focus on the role of engineered allosteric communication as it relates to transcriptional gene regulators—i.e., transcription factors and corresponding unit operations. In this review, we ( a) explore allosteric communication in the lactose repressor LacI topology, ( b) demonstrate how to leverage this understanding of allostery in the LacI system to engineer non-natural BUFFER and NOT logical operations, ( c) illustrate how engineering workflows can be used to confer alternate allosteric functions in disparate systems that share the LacI topology, and ( d) demonstrate how fundamental unit operations can be directed to form combinational logical operations.
41
Alatas, Bilal. „Photosynthetic algorithm approaches for bioinformatics“. Expert Systems with Applications 38, Nr. 8 (August 2011): 10541–46. http://dx.doi.org/10.1016/j.eswa.2011.02.102.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
43
Parikh, A. P., W. Wu, R. E. Curtis und E. P. Xing. „TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineages“. Bioinformatics 27, Nr. 13 (16.06.2011): i196—i204. http://dx.doi.org/10.1093/bioinformatics/btr239.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
44
Tsai, K. Y., und F. S. Wang. „Evolutionary optimization with data collocation for reverse engineering of biological networks“. Bioinformatics 21, Nr. 7 (28.10.2004): 1180–88. http://dx.doi.org/10.1093/bioinformatics/bti099.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
45
Sarkans, U., H. Parkinson, G. G. Lara, A. Oezcimen, A. Sharma, N. Abeygunawardena, S. Contrino et al. „The ArrayExpress gene expression database: a software engineering and implementation perspective“. Bioinformatics 21, Nr. 8 (25.11.2004): 1495–501. http://dx.doi.org/10.1093/bioinformatics/bti157.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
46
Lim, Wei Keat, Kai Wang, Celine Lefebvre und Andrea Califano. „Comparative analysis of microarray normalization procedures: effects on reverse engineering gene networks“. Bioinformatics 23, Nr. 13 (01.07.2007): i282—i288. http://dx.doi.org/10.1093/bioinformatics/btm201.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
47
Khatamian, Alireza, Evan O. Paull, Andrea Califano und Jiyang Yu. „SJARACNe: a scalable software tool for gene network reverse engineering from big data“. Bioinformatics 35, Nr. 12 (02.11.2018): 2165–66. http://dx.doi.org/10.1093/bioinformatics/bty907.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
48
Makarova, Kira S., Alexander V. Mazin, Yury I. Wolf und Victor V. Soloviev. „DIROM: an experimental design interactive system for directed mutagenesis and nucleic acids engineering“. Bioinformatics 8, Nr. 5 (1992): 425–31. http://dx.doi.org/10.1093/bioinformatics/8.5.425.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
49
Davis, Jacob D., und Eberhard O. Voit. „Metrics for regulated biochemical pathway systems“. Bioinformatics 35, Nr. 12 (14.11.2018): 2118–24. http://dx.doi.org/10.1093/bioinformatics/bty942.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract Motivation The assessment of graphs through crisp numerical metrics has long been a hallmark of biological network analysis. However, typical graph metrics ignore regulatory signals that are crucially important for optimal pathway operation, for instance, in biochemical or metabolic studies. Here we introduce adjusted metrics that are applicable to both static networks and dynamic systems. Results The metrics permit quantitative characterizations of the importance of regulation in biochemical pathway systems, including systems designed for applications in synthetic biology or metabolic engineering. They may also become criteria for effective model reduction. Availability and implementation The source code is available at https://gitlab.com/tienbien44/metrics-bsa
50
Ulzurrun, Eugenia, Yorley Duarte, Esteban Perez-Wohlfeil, Fernando Gonzalez-Nilo und Oswaldo Trelles. „PLIDflow: an open-source workflow for the online analysis of protein–ligand docking using galaxy“. Bioinformatics 36, Nr. 14 (16.05.2020): 4203–5. http://dx.doi.org/10.1093/bioinformatics/btaa481.
APA, Harvard, Vancouver, ISO und andere Zitierweisen
Annotation:
Abstract Motivation Molecular docking is aimed at predicting the conformation of small-molecule (ligands) within an identified binding site (BS) in a target protein (receptor). Protein–ligand docking plays an important role in modern drug discovery and biochemistry for protein engineering. However, efficient docking analysis of proteins requires prior knowledge of the BS, which is not always known. The process which covers BS identification and protein–ligand docking usually requires the combination of different programs, which require several input parameters. This is furtherly aggravated when factoring in computational demands, such as CPU-time. Therefore, these types of simulation experiments can become a complex process for researchers without a background in computer sciences. Results To overcome these problems, we have designed an automatic computational workflow (WF) to process protein–ligand complexes, which runs from the identification of the possible BSs positions to the prediction of the experimental binding modes and affinities of the ligand. This open-access WF runs under the Galaxy platform that integrates public domain software. The results of the proposed method are in close agreement with state-of-the-art docking software. Availability and implementation Software is available at: https://pistacho.ac.uma.es/galaxy-bitlab. Contact euv@uma.es Supplementary information Supplementary data are available at Bioinformatics online.
Die Auswahlen zum Thema "Engineering, Computer|Biology, Bioinformatics|Computer Science" für andere Quellenarten können Sie auch interessieren:
