- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Marine and coastal ecosystems
- Environmental Monitoring and Data Management
- Parallel Computing and Optimization Techniques
- Genetics, Bioinformatics, and Biomedical Research
- Fish Ecology and Management Studies
- Research Data Management Practices
- Cloud Computing and Resource Management
- Aquatic Ecosystems and Phytoplankton Dynamics
- Gene Regulatory Network Analysis
- Species Distribution and Climate Change
- Computational Physics and Python Applications
- Energy Efficient Wireless Sensor Networks
- Influenza Virus Research Studies
- Innovation Policy and R&D
- Plant and animal studies
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Water Quality Monitoring Technologies
- Microbial Community Ecology and Physiology
- Big Data Technologies and Applications
- Intellectual Property and Patents
- Mathematical Biology Tumor Growth
University of California, San Diego
2005-2019
U.S. National Science Foundation
2017
University of California, Los Angeles
2011
University of California System
2006-2010
San Diego Biomedical Research Institute
2008
San Diego Supercomputer Center
2004-2007
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data databases across all domains, including science, technology, humanities arts. scope journal includes descriptions systems, their implementations publication, applications, infrastructures, software, legal, reproducibility transparency issues, availability usability complex datasets, with particular focus principles,...
Field biologists and ecologists are starting to open new avenues of inquiry at greater spatial temporal resolution, allowing them "observe the unobservable" through use wireless sensor networks. Sensor networks facilitate collection diverse types data (from temperature imagery sound) frequent intervals—even multiple times per second—over large areas, field engage in intensive expansive sampling unobtrusively collect data. Moreover, real-time flows allow researchers react rapidly events, thus...
The emergence of an global cyberinfrastructure is rapidly increasing the ability scientists to produce, manage, and use data, leading new understanding modes scientific inquiry that depend on broader data access. As research becomes increasingly global, intensive, multifaceted, it imperative address national international access sharing issues systematically in a policy arena transcends jurisdictions. The authors this Policy Forum summarize key findings group studied these behalf OECD,...
Avian influenza virus subtype H5N1 is a potential pandemic threat with human-adapted strains resistant to antiviral drugs. Although virtual screening (VS) against crystal or relaxed receptor structure an established method identify inhibitors, the more dynamic changes within binding sites are neglected. To accommodate full flexibility, we use AutoDock4 screen NCI diversity set representative ensembles extracted from explicitly solvated molecular dynamics simulations of neuraminidase system....
Ecology is a leading discipline in the synthesis of diverse knowledge. Ecologists have had considerable experience bringing together diverse, multinational data sets, disciplines, and cultural perspectives to address wide range issues basic applied science. Now time build on this foundation invest ecological through new national or international programs. While takes place many mechanisms, including individual efforts, working groups, research networks, centers are extraordinarily effective...
Innovative uses of advanced sensors and sensor networks are starting to be translated into new ecological knowledge. These providing a set “eyes” through which researchers may observe the world in ways, extend spatial temporal scales observation, more accurately estimate what cannot observed, and, most important, obtain unexpected results or develop paradigms. Automated widely deployed by members Organization Biological Field Stations, yet some needs—particularly for chemical biological...
Creative approaches at the interface of ecology, statistics, mathematics, informatics, and computational science are essential for improving our understanding complex ecological systems. For example, new information technologies, including powerful computers, spatially embedded sensor networks, Semantic Web tools, emerging as potentially revolutionary tools studying phenomena. These technologies can play an important role in developing testing detailed models that describe real-world systems...
A grassroots, global network to examine lake function using sensor data?Why not?That was the perspective of Drs.
A Global Lake Ecological Observatory Network (GLEON; www.gleon.org) has formed to provide a coordinated response the need for scientific understanding of lake processes, utilising technological advances available from autonomous sensors. The organisation embraces grassroots approach engage researchers varying disciplines, sites spanning geographic and ecological gradients, novel sensor cyberinfrastructure synthesise high-frequency data at scales ranging local global. platform rigorously...
Summary 1. We used high‐frequency in situ dissolved oxygen measurements to investigate the seasonal variability and factors regulating metabolism a subtropical alpine lake Taiwan between May 2004 October 2005, specifically exploring how typhoon season (from June or July October) affects metabolism. 2. Gross primary production (GPP) ecosystem respiration ( R ) both peaked early summer mid‐autumn but dropped during winter. Yuan‐Yang Lake is net heterotrophic (annual mean −39.6 μmole O 2 m −3...
To gauge the current commitment to scientific research in United States of America (US), we compared federal funding (FRF) with US gross domestic product (GDP) and industry spending during past six decades. In order address recent globalization research, also focused on four key indicators activities: development (R&D) funding, total science engineering doctoral degrees, patents, publications. We these across three major population economic regions: US, European Union (EU) People's Republic...
Abstract In the era of big data, ecologists are increasingly relying on computational approaches and tools to answer existing questions pose new research questions. These include both software applications (e.g., simulation models, databases machine learning algorithms) hardware systems wireless sensor networks, supercomputing, drones satellites), motivating need for greater collaboration between computer scientists ecologists. Here, we outline some synergistic opportunities in disciplines...
The grid-based infrastructure enables large-scale scientific applications to be run on distributed resources and coupled in innovative ways. However, practice, grid are not very easy use for the end-users who have learn how generate security credentials, stage inputs outputs, access schedulers, install complex client software. There is an imminent need provide transparent these so that shielded from complicated details, free concentrate their domain science. Scientific wrapped as Web...
Many production Grid and e-Science infrastructures have begun to offer services end-users during the past several years with an increasing number of scientific applications that require access a wide variety resources in multiple Grids. Therefore, Interoperation Now—Community Group Open Forum—organizes manages interoperation efforts among those reach goal world-wide vision on technical level near future. This contribution highlights fundamental approaches group discusses open standards...
Abstract Using a carefully chosen set of examples, we illustrate the importance and ubiquity quantitative reasoning in biological sciences. The examples range across many different levels organization, from diseases through ecosystems, problems addressed basic to applied. In addition overall theme that mathematical statistical approaches are essential for understanding systems, three particular interacting themes emerge. First, nonlinearity is pervasive; second, inclusion stochasticity...
Recent advances in grid infrastructure and middleware development have enabled various types of applications science engineering to be deployed on the grid. The characteristics these diverse solutions developed, utilized or adapted by PRAGMA member institutes are summarized. include those for climate modeling, computational chemistry, bioinformatics genomics, remote control instruments, distributed databases. Many testbed routine basis experiments. Strategies deploying without modifications,...
This paper indicates that in ventricular myocytes when the SR (sarcoplasmic reticulum) is pharmacologically inhibited, intracellular Ca <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2+</sup> concentration rapidly increases during entrance (0-70 ms), whereas decay of slow; absence fluorescent dye, large gradients might develop near cell membrane; distribution tightly regulated by localization transporter proteins along sarcolemma and strongly...
This practices and experience paper describes the coordination, design, implementation, availability, performance of Pacific Rim Applications Grid Middleware Assembly (PRAGMA) grid testbed. in high-energy physics, genome annotation, quantum computational chemistry, wildfire simulation, protein sequence alignment have driven middleware requirements, testbed provides a mechanism for international users to share software beyond essential, de facto standard Globus core. In this paper, we...
Cyberinfrastructure makes the development and deployment of bioinformatics applications easier by providing framework components that may be loosely coupled using service oriented architecture. Here we describe an end to prototype environment allows existing run on grid, taking advantage open source software provides a portal interface GridSphere, with transparent GSI authentication GAMA, Web wrapper Opal, metascheduler CSF4, virtual file system Gfarm, grid-enabled cluster Rocks. Solutions...