• Hannenhalli received his doctorate in computer science from Pennsylvania State University in 1996, where he developed combinatorial algorithms for genome rearrangement problems. (umd.edu)
  • Genome Biology. (umd.edu)
  • New systems processing of numerous and different kinds of signals, math- must capture the specific biological mechanisms of opera- ematical and computational methods are required to model tion and distributed regulation at work within the genome. (lu.se)
  • The accessibility of almost complete genome sequences of uncultivable microbial species from metagenomes necessitates computational methods predicting microbial phenotypes solely based on genomic data. (biomedcentral.com)
  • The Centre for Bioinformatics focuses on the theoretical and computational aspects of modelling the molecular biology processes, genome evolution and adaptive change, as well as biomedical data representation and integration. (zhaw.ch)
  • Our research is stimulated by new technologies, and we employ genome-wide data such as microarrays, nanostring and sequencing, with advanced methods in learning and statistics. (tau.ac.il)
  • We have seen the journal evolve along with the changing landscape of health and disease, including the increasing use of genome-scale approaches in medical research and clinical practice, the generation and analysis of patient- and population-level data, and the clinical implementation of these approaches in precision medicine and public health. (cdc.gov)
  • Genome biology, 18(1), 225. (lu.se)
  • In electrical engineering, statistical computing and bioinformatics, the Baum-Welch algorithm is a special case of the expectation-maximization algorithm used to find the unknown parameters of a hidden Markov model (HMM). (wikipedia.org)
  • Warnow's main research is in algorithms for statistical estimation problems in computational biology and historical linguistics. (illinois.edu)
  • The project is focused on two objectives: the study of optimization and inference algorithms based on advanced statistical physics methods for disordered systems, and their application to large-scale inverse problems in computational systems biology. (europa.eu)
  • Their probabilistic foundations are still largely unexplored and thus their study can contribute greatly to computational statistical physics. (europa.eu)
  • His research interests include statistical inference, graphical models, and large scale modern estimation problems with predominantly incomplete data. (nips.cc)
  • Statistical antecedents of CART algorithm are of historical importance since they trace back to 1960s, when the Automatic Interaction Detection (AID) algorithm was created (Morgan & Sonquist, 1963). (bvsalud.org)
  • Computational methods include systems modelling, machine learning, statistical learning, numerical methods for faster optimisation, solutions for handling large data and new ways to perform computations. (lu.se)
  • I am starting my PhD journey at Computational chemistry in the field of statistical thermodynamics, with Jan Forsman as my main supervisor, and Martin Trulsson as my supervisor. (lu.se)
  • Computational Physics is a branch within computational science where analytical, numerical and statistical methods are used to analyse and draw conclusions from physical models, as well as huge datasets from physics experiments. (lu.se)
  • 2022 Associate professor, Theoretical Physics specialising in Computational Biology, Lund University. (lu.se)
  • For a complete overview, you can search for CEC and our researchers in the Lund University Research Portal. (lu.se)
  • Our research is conducted in several different directions, mainly in collaboration with researchers in various disciplines in Science and Medicine at Lund University and elsewhere. (lu.se)
  • Computational Biology at CU Boulder is highly collaborative and interdisciplinary, with all of its faculty co-appointed in or affiliated with the BioFrontiers Institute , founded in 2011 by Nobel Laureate Tom Cech and HHMI Professor Leslie Leinwand and now led by HHMI Professor Roy Parker. (colorado.edu)
  • The project is highly interdisciplinary, includes experimental and computational aspects and interactions with a diverse network of collaborators. (epfl.ch)
  • Dr. Eldred Ribeiro is interested in solving complex problems in Healthcare and Clinical Research by leveraging interdisciplinary scientific knowledge and information technology. (iscb.org)
  • Computational biology, an interdisciplinary field at the intersection of biology and computer science, has revolutionized the way we study and understand living organisms. (scholarsresearchlibrary.com)
  • Most of this research has been cross-disciplinary in nature, and I have participated in two interdisciplinary themes: bio-inspired energy conversion and synthetic biology. (lu.se)
  • The Computational Science for Health and Environment (COSHE) theme gathers interdisciplinary research based on developing and using computational methods with applications that address scientific problems in areas related to health and environment. (lu.se)
  • This interdisciplinary education will give you foundational knowledge in the field of computational science. (lu.se)
  • During your studies, an interdisciplinary perspective is emphasized and you will also study together with students from biology, geology, environmental sciences, physical geography and chemistry. (lu.se)
  • We offer a strongly interdisciplinary research environment where staff and students have a background in diverse subjects that include physics, computer science and medicine. (lu.se)
  • Students with a background in biochemistry, physics, bioengineering and computational sciences are encouraged to apply. (epfl.ch)
  • It will also prove invaluable to specialists in related areas, such as meteorology, physics and computational biology. (freecomputerbooks.com)
  • degree in theoretical physics from Helsinki University of Technology, and Ph.D. from MIT in computational neuroscience. (nips.cc)
  • At the same time, systems modelling with roots in physics is expanding towards the fields of medicine, biology and climate. (lu.se)
  • The COSHE theme was formed at CEC in 2023 by the members of Computational Biology and Biological Physics (CBBP, formerly at Astronomy and Theoretical Physics) and the Uncertainty and Evidence Lab. (lu.se)
  • The Master Programme in Computational Science with specialisation in Physics will give you detailed knowledge about the underlying methods with respect to physics. (lu.se)
  • A few of many examples are studies in, and research on, environment and climate change, accelerator physics, cell dynamics and super novae. (lu.se)
  • If you already have a bachelor's in physics, you will deepen your physics knowledge, especially in areas that require computational methods. (lu.se)
  • You can also follow the programme without a previous bachelor's in physics - if so, you will get a broad overview of physics both at basic and advanced level that illustrates the interplay between computational methods and theoretical models. (lu.se)
  • Knowledge in theoretical biophysics and computational physics (corresponding to FYTN05/ BERN05 and FYTN03 , respectively) is helpful but not required. (lu.se)
  • Recommended knowledge: Computational physics corresponding to FYTN03 and programming experience. (lu.se)
  • He is currently working on ways to organize and search large collections of scanned books, explorations of how novelty can be incorporated into retrieval algorithms, techniques for representing and retrieving video segments, and approaches to allow scholars to find and search using categories not previously catalogued. (cra.org)
  • Our lab develops and leverages advanced microscopy, machine learning, genetics, and computational modeling approaches to address systems-level questions. (epfl.ch)
  • I am also interested in biological anthropology and applying computational biology approaches to the social sciences. (iscb.org)
  • His current research efforts are focused on the development of novel approaches for the integrative analysis of large-scale drug screen and molecular profiling datasets, in order to detect biomarkers related to patient response to drug treatment. (iscb.org)
  • Other interests include open and reproducible research methods and efficient software engineering approaches for the sciences. (iscb.org)
  • By employing algorithms and machine learning techniques, researchers can identify genetic variations associated with diseases, predict patient responses to treatments, and develop personalized medicine approaches. (scholarsresearchlibrary.com)
  • Computational approaches aid in reconstructing evolutionary relationships between species and understanding their genetic ancestry. (scholarsresearchlibrary.com)
  • We will introduce and explain key ideas behind recent approaches, discuss when they can and cannot be applied, how they can be integrated into supervised learning schemes and what efficient message passing algorithms exist for solving them. (nips.cc)
  • My group develops computational systems biology approaches to tackle a major problem in medicine: to reveal the molecular mechanisms underlying the basis of complex disease. (tau.ac.il)
  • The CEC has a number of research groups working on different approaches to address environmental and climate challenges. (lu.se)
  • The journal was launched to meet the need in the community for a platform to publish impactful and open science that advances basic and clinical research—using genetic, genomic, omic, and systems approaches—that has the potential to revolutionize the practice of medicine. (cdc.gov)
  • Since October 2001, I am a full-time researcher at the CNRS , with the ALgorithms for Graphs and COmbinatorics group ( AlGco ) of the LIRMM . (lirmm.fr)
  • BMC Evolutionary Biology. (umd.edu)
  • Since the beginning of my research career, I have worked with Boolean gene regulatory network models, the HP model of protein folding, stem cell regulation, circadian clocks in plants, plant-pathogen interactions, evolutionary algorithms, degradation of soil organic matter by fungi and methods for processing spectroscopic imaging data. (lu.se)
  • The group has been designing fundamental geometric algorithms, as well as providing theoretical understanding of the geometric objects and mathematical structures behind these problems. (ohio-state.edu)
  • Students will learn the mathematical and computational foundations in these areas, read the current literature, and do a team research project. (illinois.edu)
  • By combining the power of data analysis, mathematical modeling, and advanced algorithms, computational biology enables researchers to gain insights into complex biological processes, unravel genetic mysteries, and develop innovative solutions for various medical and environmental challenges. (scholarsresearchlibrary.com)
  • The group develops and applies mathematical models and methods to address open research questions in biology. (zhaw.ch)
  • The main interest of our group is the development of methods and algorithms for molecular modeling and simulations of three-dimensional protein structures and their interactions. (unibas.ch)
  • To that end, we develop computational methods in statistics, probabilistic modeling, and bioinformatics, and work in a close collaboration with experimental labs to design and perform high-throughput experiments. (tau.ac.il)
  • In this project you will develop computational methods for assembling fragmented (noisy) optical DNA maps into full chromosomal maps for bacteria. (lu.se)
  • The emphasis is mainly on discrete algorithms and machine-learning methods that address important problems in molecular biology, that are founded on sound models, that are computationally efficient, and that have been implemented and tested in simulations and on real datasets. (wikicfp.com)
  • The techniques involved include discrete algorithms, graph theory, simulations, and probabilistic analysis of algorithms. (illinois.edu)
  • In this paper, an accurate algorithm for GISAXS simulations based on the multi-slice DWBA theory is presented. (lbl.gov)
  • Furthermore, this algorithm is general with respect to the sample structure, and does not require any sample-specific approximations to perform the simulations. (lbl.gov)
  • My research focused mainly on molecular dynamics simulations relevant to gene therapy, particularly on force field parametrization and polyplex formation. (lu.se)
  • The next few years will be full of research regarding dense suspension simulations, exploring the rheology of various systems of interest to better understand their behavior under a whole range of conditions. (lu.se)
  • For my PhD research, I will study various ionic systems with classical density functional theory, combined with molecular simulations. (lu.se)
  • My project focus will be to implement algorithms for neutron and X-ray scattering and developing molecular simulations to study bio-molecular interactions. (lu.se)
  • Discrete and Computational Geometry. (uea.ac.uk)
  • In cases where the sample displays regions of significant refractive index contrast, an algorithm has been implemented to perform a slicing of the sample and compute the averaged refractive index profile to be used as the reference geometry of the unperturbed system. (lbl.gov)
  • Indeed, the application of methods originally developed for the analysis of spin glasses to hard optimization problems led to the definition of message passing algorithms (MPAs), a new class of algorithms that on many difficult problems showed performance definitely superior to Monte Carlo schemes. (europa.eu)
  • Message-Passing Algorithms and Improved LP Decoding. (mit.edu)
  • Research Support, U.S. Gov't, P.H.S. (nih.gov)
  • Her research focuses on intelligent technologies that must adapt to and function within a human-centered world, which encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics. (cra.org)
  • Her research focuses on zero-shot and few-shots learning methods for large-scale and fine-grained image classification. (mpg.de)
  • It is a fact that the advances in sequencing and other high throughput technologies deeply transformed the world of biological research over the last 10-15 years. (europa.eu)
  • From 2011 to 2014 she was a graduate student at INRIA Rhone-Alpes and a Research Engineer at Xerox Research Centre Europe, France. (mpg.de)
  • All research in algorithmic work in bioinformatics, computational biology and systems biology. (wikicfp.com)
  • Multiple projects are available that focus on the theoretical and computational investigation of the structural and dynamic properties of membrane protein systems. (epfl.ch)
  • Computational biology aims to describing biological systems or processes that allow machine analysis by formal methods. (uni-rostock.de)
  • The endeavor to better understand biological systems or processes are in the focus of this research. (uni-rostock.de)
  • She holds affiliated appointments in the School of Systems Biology and the Department of Bioengineering at George Mason University. (iscb.org)
  • At the same time, these new techniques are becoming key tools in fields such as computational systems biology, where the exponential increase of molecular data is posing new computational challenges in the study of biological systems composed by many interacting molecular components. (europa.eu)
  • Computational modeling and simulation help in deciphering the complex interactions within biological systems. (scholarsresearchlibrary.com)
  • Dana Pe'er , Chair of the Computational and Systems Biology Program in the Sloan Kettering Institute, is the Director of SAIL and Chair of the Oversight Committee. (mskcc.org)
  • The Saarland University campus is also home to the Max Planck Institute for Software Systems , the German Research Institute for Artificial Intelligence , the Helmholz Center for Information Security (CISPA), the Center for Bioinformatics , and the Graduate School of Computer Science . (mpg.de)
  • The building blocks of my research are things like ODE systems, graph algorithms, parameter optimization and more recently also iterative data processing algorithms and machine learning. (lu.se)
  • I'm from Minnesota (USA) and just graduated in 2021 from King's College London with my MSc in Complex Systems Modelling, where I also completed my master thesis with Forschungszentrum Juelich in computational systems biology. (lu.se)
  • We try to solve both these problems by developing new simulation algorithms and interaction models, as well as adapting existing methods to new systems. (lu.se)
  • Can we interest you in a thesis project in artificial neural networks, systems biology, bionanophysics or quantum computing? (lu.se)
  • Moreover, we propose a faster algorithm solving the problem described in [ 4 ] when restricting to duplication and loss events (that is, host switching is not taken into account). (biomedcentral.com)
  • Ziv-Ukelson M, Gat-Viks I, Wexler Y, Shamir R: A faster algorithm for simultaneous alignment and folding of RNA. (tau.ac.il)
  • In theoretical computer science, the closest string is an NP-hard computational problem, which tries to find the geometrical center of a set of input strings. (wikipedia.org)
  • Computational Biology sits at the intersection of two of the most rapidly advancing fields in modern science: Biology and Computer Science. (colorado.edu)
  • Digraphs is an essential, comprehensive reference for undergraduate and graduate students, and researchers in mathematics, operations research and computer science. (freecomputerbooks.com)
  • She is now Associate Head for Computer Science, and has affiliate faculty appointments in Bioengineering, Electrical and Computer Engineering, Mathematics, Statistics, and several biology departments. (illinois.edu)
  • Science, Engineering, and Biology Informatics). (uea.ac.uk)
  • Abhinav Sarje is a research scientist in the Performance and Algorithms Research group of the Computer Science department at the Berkeley Lab. (lbl.gov)
  • I attended the University of Central Oklahoma for my undergraduate degree where I earned a B.S. in Forensic Science - Molecular Biology and a B.S. in Biology with a minor in chemistry. (iscb.org)
  • A University of Maryland expert in wireless networking and mobile computing will use funding from the National Science Foundation (NSF) to advance his research in ambient computing, an invisible yet useful concept of blending computing power into our everyday lives by embedding it into our surroundings. (umd.edu)
  • A place where science, technology, and research merge to embrace good health across a 130-acre sprawling health city campus. (amrita.edu)
  • The Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri campus, is expanding CS research initiatives to meet its Institute of Eminence targets for Computer Science. (amrita.edu)
  • The Department of Computer Science is internationally recognized as a unique group of faculty, visiting researchers, students and educational programs, which provide a world-class research environment that goes well beyond the core areas of computer science. (uci.edu)
  • The group develops new computational science methods and applies existing methods. (zhaw.ch)
  • That job inspired me to pursue a career in computer science-but I knew I also wanted to come back to biology in some way. (tufts.edu)
  • The Max Planck Institute (MPI) for lnformatics is devoted to cutting-edge research in computer science and technology with a focus on algorithms and their applications in a broad sense. (mpg.de)
  • Anke van Zuylen graduated in 2008 with a PhD in Operations Research from Cornell University, U.S.A. Afterwards she spent two years as a postdoctoral researcher at the Institute for Theoretical Computer Science in Bejing, China. (mpg.de)
  • My research interests span a wide range of topics around the intersection of biology and computational science. (lu.se)
  • Scientific Computing and Computational Science What's the difference? (lu.se)
  • What is Computational Science? (lu.se)
  • Progress in science is increasingly dependent on computational methods. (lu.se)
  • Research in Computational Science at CEC combines methodological developments and a wide range of applications addressing research questions in different fields. (lu.se)
  • You will learn how to study complex processes in natural sciences, and how Computational Science can contribute to knowledge evolution in society. (lu.se)
  • In addition to knowledge in theory for computational science, there will be an emphasis on obtaining knowledge about the practical tools that are used by professionals in the field and you will amongst several things train your skills in programming. (lu.se)
  • The compulsory elements are then reduced to BERN01, Modelling in Computational Science, 7.5 credits, and NUMN32, Numerical Methods for Differential Equations, 7.5 credits. (lu.se)
  • Unfortunately, agglomerative hierarchical clustering, a commonly used clustering algorithm, is inadequate given the nature of data collection for pyroprinting. (calpoly.edu)
  • a modification of agglomerative hierarchical clustering that expresses metadata-based relationships as an ontology to direct the order in which hierarchical clustering algorithms analyze the data. (calpoly.edu)
  • This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark or Neo4j. (freecomputerbooks.com)
  • Prior to joining MITRE, he served as the data manager on the Biomedical Translational Research Information System (BTRIS), utilized by the National Institutes of Health to aggregate patient information used in Clinical Trials. (iscb.org)
  • The Emergence of Computational Biology With the exponential growth of biological data and advancements in computing power, computational biology has emerged as a vital discipline in life sciences. (scholarsresearchlibrary.com)
  • Computational biology addresses these challenges by employing computational techniques to analyze and interpret biological data. (scholarsresearchlibrary.com)
  • Computational biology plays a pivotal role in analyzing genomic data, unraveling the mysteries encoded in our DNA. (scholarsresearchlibrary.com)
  • By analyzing ecological data, mapping biodiversity, and modeling ecosystems, computational biologists help in conserving natural resources, managing ecosystems, and predicting the impact of climate change. (scholarsresearchlibrary.com)
  • Computational biology enables researchers to process and analyze vast amounts of biological data in a fraction of the time it would take using traditional methods. (scholarsresearchlibrary.com)
  • The field continues to grapple with managing and analyzing everincreasing amounts of biological data, integrating diverse datasets, and developing robust computational models. (scholarsresearchlibrary.com)
  • Professor Tang's research interests include computational biology and bioinformatics, machine learning and big data analysis, algorithm development and high performance computing, as well as computer gaming and scientific simulation. (sc.edu)
  • Big Data Analytics in HIV/AIDS Research. (igi-global.com)
  • The research projects and applications focus on genomic data and biomedical natural language. (zhaw.ch)
  • My bachelor's degree is in biology, and I'd been working in a job that required data management. (tufts.edu)
  • SAIL hosts a dedicated computational team that benchmarks new tools and generates pipelines to support an expanding set of technologies and data modalities. (mskcc.org)
  • There has been a slew of research over the past decade on biomarkers in respiratory infections , and we hope that we can summarize some of that data here today. (medscape.com)
  • This result suggests that for large data sets, called big data, the CART algorithm might give better results than the CTREE algorithm. (bvsalud.org)
  • The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing. (cdc.gov)
  • The amount of available data in the world is exploding and advanced algorithms are used to extract information for use in different applications. (lu.se)
  • Dr. Lauren Quattrochi is a Senior Neuroscience Informaticist at MITRE, who seeks to empower the scientific community through accelerating biomedical research funding opportunities. (iscb.org)
  • One of the major limitations for using structure-based methods in biomedical research is the limited availability of experimentally determined protein structures. (unibas.ch)
  • The goal is to bring basic research and new bioinformatics methods to real-world applications, ranging, for example, from biotechnology and forensics to biomedical research and environmental applications. (zhaw.ch)
  • Not only will the methods and explanations help you to understand more about graph theory, but you will find it joyful to discover ways that you can apply graph theory in your applications or scientific research. (freecomputerbooks.com)
  • He received a PhD in computational neuroscience from the Hebrew University, and was a Rothschild postdoctoral fellow at MIT. (nips.cc)
  • Performance evaluation of pathogenicity-computation methods for missense variants, Nucleic Acids Research, Volume 46, Issue 15, 6 September 2018, Pages 7793-7804, https://doi.org/10.1093/nar/gky678. (lu.se)
  • This number is quickly growing as students and researchers continue to use pyroprinting for research. (calpoly.edu)
  • Through a collaboration between IGI Global and the University of North Texas, the Handbook of Research on the Global View of Open Access and Scholarly Communications has been published as fully open access, completely removing any paywall between researchers of any field, and the latest research on the equitable and inclusive nature of Open Access and all of its complications. (igi-global.com)
  • The CART algorithm has been extensively applied in predictive studies, however, researchers argue that CART produces variable selection bias. (bvsalud.org)
  • Nevertheless, it was only in the 1980s when researchers became interested in Regression Tree, due mainly from the technical improvements achieved by the creation of the CART algorithm (Breiman, Friedman, Olshen, & Stone, 1984). (bvsalud.org)
  • You will meet and be taught by active and internationally well recognized researchers, and you will be in contact with several research groups. (lu.se)
  • This position parallels the tenure track faculty research series starting in academic year 2017-2018. (uci.edu)
  • Symposium on Quantitative Network Biology, Kandersteg, 19-20 November 2018. (zhaw.ch)
  • The research institutes of the Max Planck Society are nationally and internationally renowned as Centers of Excellence in foundational research. (mpg.de)
  • During my previous research, I focused on combining experimental results, mainly from analytical chemistry, with novel theoretical models to try to understand the underlying physical mechanisms responsible for the observed phenomena. (lu.se)
  • Dr. Pe'er pioneered a number of foundational analytical concepts and algorithms in the single-cell field. (mskcc.org)
  • She was elected a Fellow of the Association for Computing Machinery (ACM) in 2015 and of the International Society for Computational Biology (ISCB) in 2017. (illinois.edu)
  • It covers stencil computations, auto-tuning, optimizations of a computational kernel, sequence alignment and homology, and pairwise computations. (routledge.com)
  • An important theme of the group has been to apply and leverage the theoretical understanding and insights to develop practical algorithms and methods for applications in geometric modeling, computer graphics, visualization, computational biology and others. (ohio-state.edu)
  • The book also evaluates the portability of drug design applications to the Cell BE and illustrates how to successfully exploit the computational capabilities of GPUs for scientific applications. (routledge.com)
  • At the undergraduate level, Warnow teaches courses in discrete mathematics and algorithm design and analysis, and use problems from computational biology to demonstrate the applications of these skills and techniques to real world problems. (illinois.edu)
  • The department is inviting applications from qualified research scientists for the position of Lecturer on contract basis. (amrita.edu)
  • Examples from several applications will be provided, including computational biology, natural language processing (see also a separate tutorial on Dual Decomposition for NLP), and structure learning. (nips.cc)
  • Applications should include a CV, a cover letter, a publication list, a short research plan (one page is enough), and two references, that will be contacted later to provide recommendation letters. (mpg.de)
  • My current work is focused on software and algorithms for vibrational spectroscopy imaging in the OCTAVVS project, and as well as biological and medical applications. (lu.se)
  • Computations are becoming more and more important in research and industry. (lu.se)
  • However, recent research has shown that some of these difficulties can be overcome by a careful choice of approximation schemes and learning algorithms. (nips.cc)
  • Artificial Intelligence (AI) has a long history in our department, and currently supports a very dynamic program of research and education. (umd.edu)
  • Faculty and research scientists at the University of Maryland recently received funding to continue their work in artificial intelligence and autonomous technologies that can benefit the U.S. military. (umd.edu)
  • In this research work, we propose a new approach for an emotion recognition system, using multichannel EEG calculation with our developed entropy known as multivariate multiscale modified-distribution entropy ( MM-mDistEn ) which is combined with a model based on an artificial neural network (ANN) to attain a better outcome over existing methods. (hindawi.com)
  • Machine learning, artificial neural networks and AI technologies are developing rapidly, especially in image analysis and computer vision, where LTH has one of Sweden's strongest research groups. (lu.se)