The Experts below are selected from a list of 612 Experts worldwide ranked by ideXlab platform
Stephen M Rappaport - One of the best experts on this subject based on the ideXlab platform.
-
simextargid an r package for real time lc ms metabolomic Data analysis instrument failure drift notification and ms2 target identification
bioRxiv, 2017Co-Authors: William M B Edmands, Stephen M RappaportAbstract:The simExTargId R package provides real-time, autonomous, within-laboratory Data analysis during a metabolomic LC-MS1-profiling experiment. Of concern to metabolomic investigators are instrumentation failure (especially for precious samples), outlier identification, instrument signal attenuation and pre-emptive feature identification for MS2 fragmentation. SimExTargId allows observation of an experiment in progress with PCA plot and peak table outputs and also two shiny applications targetId for MS2 target identification and peakMonitor for signal attenuation monitoring. SimExTargId is ideally utilised on a (temporarily) dedicated work-station or server which is networked to a LC-MS Data Directory. Features include: email notification for instrument stoppage/drift, file format conversion, peak-picking, pre-processing, PCA-based out-lier identification and statistical analysis. Additional MS1/MS2 experiments can be concatenated to a worklist or cleaning/recalibration undertaken if instrument drift is observed. All source code and a vignette with example Data are available on GitHub https://github.com/WMBEdmands/simExTargId.
-
simExTargId: An R package for real-time LC-MS metabolomic Data analysis, instrument failure/drift notification and MS2 target identification
2017Co-Authors: William M B Edmands, Stephen M RappaportAbstract:The simExTargId R package provides real-time, autonomous, within-laboratory Data analysis during a metabolomic LC-MS1-profiling experiment. Of concern to metabolomic investigators are instrumentation failure (especially for precious samples), outlier identification, instrument signal attenuation and pre-emptive feature identification for MS2 fragmentation. SimExTargId allows observation of an experiment in progress with PCA plot and peak table outputs and also two shiny applications targetId for MS2 target identification and peakMonitor for signal attenuation monitoring. SimExTargId is ideally utilised on a (temporarily) dedicated work-station or server which is networked to a LC-MS Data Directory. Features include: email notification for instrument stoppage/drift, file format conversion, peak-picking, pre-processing, PCA-based out-lier identification and statistical analysis. Additional MS1/MS2 experiments can be concatenated to a worklist or cleaning/recalibration undertaken if instrument drift is observed. All source code and a vignette with example Data are available on GitHub https://github.com/WMBEdmands/simExTargId.
William M B Edmands - One of the best experts on this subject based on the ideXlab platform.
-
simextargid an r package for real time lc ms metabolomic Data analysis instrument failure drift notification and ms2 target identification
bioRxiv, 2017Co-Authors: William M B Edmands, Stephen M RappaportAbstract:The simExTargId R package provides real-time, autonomous, within-laboratory Data analysis during a metabolomic LC-MS1-profiling experiment. Of concern to metabolomic investigators are instrumentation failure (especially for precious samples), outlier identification, instrument signal attenuation and pre-emptive feature identification for MS2 fragmentation. SimExTargId allows observation of an experiment in progress with PCA plot and peak table outputs and also two shiny applications targetId for MS2 target identification and peakMonitor for signal attenuation monitoring. SimExTargId is ideally utilised on a (temporarily) dedicated work-station or server which is networked to a LC-MS Data Directory. Features include: email notification for instrument stoppage/drift, file format conversion, peak-picking, pre-processing, PCA-based out-lier identification and statistical analysis. Additional MS1/MS2 experiments can be concatenated to a worklist or cleaning/recalibration undertaken if instrument drift is observed. All source code and a vignette with example Data are available on GitHub https://github.com/WMBEdmands/simExTargId.
-
simExTargId: An R package for real-time LC-MS metabolomic Data analysis, instrument failure/drift notification and MS2 target identification
2017Co-Authors: William M B Edmands, Stephen M RappaportAbstract:The simExTargId R package provides real-time, autonomous, within-laboratory Data analysis during a metabolomic LC-MS1-profiling experiment. Of concern to metabolomic investigators are instrumentation failure (especially for precious samples), outlier identification, instrument signal attenuation and pre-emptive feature identification for MS2 fragmentation. SimExTargId allows observation of an experiment in progress with PCA plot and peak table outputs and also two shiny applications targetId for MS2 target identification and peakMonitor for signal attenuation monitoring. SimExTargId is ideally utilised on a (temporarily) dedicated work-station or server which is networked to a LC-MS Data Directory. Features include: email notification for instrument stoppage/drift, file format conversion, peak-picking, pre-processing, PCA-based out-lier identification and statistical analysis. Additional MS1/MS2 experiments can be concatenated to a worklist or cleaning/recalibration undertaken if instrument drift is observed. All source code and a vignette with example Data are available on GitHub https://github.com/WMBEdmands/simExTargId.
James R. Thieman - One of the best experts on this subject based on the ideXlab platform.
-
SIGMOD Conference - The international Directory network and connected Data information systems for research in the earth and space sciences
Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93, 1993Co-Authors: James R. ThiemanAbstract:Many researchers are becoming aware of the International Directory Network (IDN), an interconnected federation of international directories to Earth and space science Data. These directories may become distributed nodes of a single, virtual master Data Directory of the future. Not as many are aware, however, of the many Earth-and-space-sciece-relevant information systems which can be accessed automatically from the directories. After determining potentially useful Data sets in various disciplines through IDN directories it is becoming increasingly possible to get detailed information about the correlative possibilities of these Data sets through the connected guide/catalog and inventory systems. Such capabilities as Data set browse, subsetting, analysis, etc. are available now and will be improving in the future.
-
The interconnected Data Directory system and Catalog Interoperability
1991Co-Authors: James R. ThiemanAbstract:The Catalog Interoperability (CI) project, designed to enable rapid and efficient identification, location, and access to Data of interest to the science community, is considered. The CI goal is to create a worldwide Data information network composed of interconnected Directory, guide (catalog), and inventory systems. Directories were created to aid in finding Data. The directories contain brief information about the Data sets, sufficient for determining whether further investigation is warranted. They also provide automated links to other information systems which give more detail on Data of interest. A common format for describing Data sets has been developed, called the Directory Interchange Format (DIF), which is used as the basis of information to be shared among the directories. These DIF files can be passed among the directories to keep their information up to date.
B. Hardy - One of the best experts on this subject based on the ideXlab platform.
-
A wireless sensor network with Field-Monitoring Servers and MetBroker in paddy fields.
2005Co-Authors: Masayuki Hirafuji, Tokihiro Fukatsu, Hu Haoming, Takuji Kiura, T. Watanabe, Seishi Ninomiya, K. Toriyama, K. L. Heong, B. HardyAbstract:Environmental Data such as weather Data and crop Data such as rice growth in paddy fields are necessary for crop management and scientific studies. In addition, production history systems and traceability systems for food security are becoming indispensable. A wireless sensor network could be one of the best solutions for this need. So far, many kinds of sensor-network solutions, such as Mote (Khan et al 1999) and TINI (www.ibutton.com/TINI/), have been proposed. However, specification of the sensors is poor for monitoring crops. Wireless broadband communication, high-resolution image-monitoring technology, and various sensors are needed for monitoring rice in real-time in paddy fields. For example, a rice blast prediction system, MetBLASTAM (http://cse.naro.affrc.go.jp/ketanaka/model/ applet/Blastam.html), requires information on air temperature, humidity, and leaf wetness. Specific Data such as images of emerging rice blast are indispensable to revise the prediction system. To estimate the photosynthetic rate of rice, the spatial distribution of CO2 concentration should be measured in realtime in the paddy field. We developed Field-Monitoring Servers for those requirements, and constructed a wireless sensor network in paddy fields. Their cost is extremely low and their functions are much advanced compared with conventional sensor networks or weather stations. The observed Data are freely available on our Web site. Any users can use the Data Directory, and applications such as the rice blast prediction system, through MetBroker, which provides Data in standard format for applications by linking these applications to conventional weather Databases such as AMeDAS and NOAA.
Ma Xiu-jun - One of the best experts on this subject based on the ideXlab platform.
-
A Research on Global Spatial Data Directory in Peer-toPeer Networks
Geography and Geo-Information Science, 2006Co-Authors: Ma Xiu-junAbstract:Peer-to-Peer computing provided a new distributed computing pattern for spatial Data and spatial operation distribution based on large amount of self-organized peers'collaboration.Spatial Databases located on different peers collaborated with each other form a super global spatial Database,and global spatial Data Directory is the key technology to locate spatial resources and spatial computing peer in Peerto-Peer networks.Parameters such as Database schema,metaData and resource status are abstracted as keyword collections.A Peer-to-Peer spatial index was build dynamically based on peers'spatial Data minimum bounding rectangle(MBR) by global spatial Data Directory,and supported peers'dynamic join and exit.Complex spatial query and keyword query are also well supported by this Peer-to-Peer spatial index.
