標(biāo)題: Titlebook: Distributed, High-Performance and Grid Computing in Computational Biology; International Worksh Werner Dubitzky,Assaf Schuster,Mathilde Rom [打印本頁] 作者: PED 時(shí)間: 2025-3-21 18:01
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology影響因子(影響力)
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology影響因子(影響力)學(xué)科排名
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology網(wǎng)絡(luò)公開度
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology被引頻次
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology被引頻次學(xué)科排名
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology年度引用
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology年度引用學(xué)科排名
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology讀者反饋
書目名稱Distributed, High-Performance and Grid Computing in Computational Biology讀者反饋學(xué)科排名
作者: Forsake 時(shí)間: 2025-3-21 21:47 作者: 責(zé)問 時(shí)間: 2025-3-22 01:19 作者: WAX 時(shí)間: 2025-3-22 06:52
A Distributed System for Genetic Linkage Analysisributed execution in a highly dynamic non-dedicated running environment, as well as to utilize resources in all the available grid environments. Meeting these challenges has provided nearly interactive response time for shorter tasks while simultaneously serving massively parallel ones. The system, 作者: 先行 時(shí)間: 2025-3-22 09:49 作者: LEVY 時(shí)間: 2025-3-22 13:40 作者: LEVY 時(shí)間: 2025-3-22 18:51
https://doi.org/10.1007/978-3-540-69968-2Session; algorithms; architecture; bioinformatics; biology; collaborative environments; computational biol作者: 統(tǒng)治人類 時(shí)間: 2025-3-23 01:12 作者: 憤怒事實(shí) 時(shí)間: 2025-3-23 04:16
https://doi.org/10.1007/978-1-4684-6724-6 the execution of computationally intensive sequence alignment algorithms, such as Smith-Waterman or hidden Markov model searches, with speedups up to three orders of magnitude over single-CPU installations. Users around the world can now process highly sensitive sequence alignments with a turnaroun作者: 沙漠 時(shí)間: 2025-3-23 07:30 作者: Harridan 時(shí)間: 2025-3-23 10:48
https://doi.org/10.1007/978-1-4684-6724-6e. One of the most striking discoveries was the detection of microRNAs, a class of noncoding RNAs that play an important role in post-transcriptional gene regulation. Large-scale analyses are needed for the still increasingly growing amount of sequence data derived from new experimental technologies作者: 厭食癥 時(shí)間: 2025-3-23 16:26
https://doi.org/10.1007/978-1-4684-6724-6t privacy was protected, researchers without dependable Internet access were accommodated, and researchers’ data were shared globally. Data dictionaries codified the nature of the data being integrated, data compliance was assured through multiple consistency checks, and recovery systems provided a 作者: 聯(lián)想記憶 時(shí)間: 2025-3-23 19:16 作者: fatty-acids 時(shí)間: 2025-3-24 00:32 作者: inhumane 時(shí)間: 2025-3-24 03:39 作者: Melodrama 時(shí)間: 2025-3-24 06:41 作者: ALLAY 時(shí)間: 2025-3-24 11:45
https://doi.org/10.1007/979-8-8688-0805-0es of large inbred pedigrees with extensive missing data are often beyond the capabilities of a single computer. We present a distributed system called . for computing multipoint LOD scores of large inbred pedigrees. It achieves high performance via efficient parallelization of the algorithms in ., 作者: Endearing 時(shí)間: 2025-3-24 16:08 作者: 船員 時(shí)間: 2025-3-24 19:05 作者: 粗魯性質(zhì) 時(shí)間: 2025-3-25 01:23
Kyriakos Anastasiadis,Chandi Ratnatungaalysis of both genomic and protein microarray data requires interactive collaborative investigation by biology and bioinformatics researchers. To assist collaborative analysis, remote collaboration tools for integrative analysis and visualization of microarray data are necessary. Such tools should: 作者: 六邊形 時(shí)間: 2025-3-25 04:49
Perioperative Management for Thymectomy,ults of their biological experiments using HVEM, so that they can analyze them together to perform good research. The proposed system is for people whose primary work is to access HVEM, to obtain experimental results for biological samples and to store or retrieve them on HVEM DataGrid. The architec作者: 干涉 時(shí)間: 2025-3-25 09:08 作者: perpetual 時(shí)間: 2025-3-25 13:39 作者: 樹上結(jié)蜜糖 時(shí)間: 2025-3-25 16:37 作者: 斜坡 時(shí)間: 2025-3-25 20:35
Using Public Resource Computing and Systematic Pre-calculation for Large Scale Sequence Analysisments using classical batching systems like LSF or Sun Grid-Engine. Despite their simple usability they are limited to organizationally owned resources. In contrast to proprietary projects that implement large-scale grids we report on a grid-enabled solution for sequence homology and protein domain 作者: 證實(shí) 時(shí)間: 2025-3-26 03:57
Accelerated microRNA-Precursor Detection Using the Smith-Waterman Algorithm on FPGAse. One of the most striking discoveries was the detection of microRNAs, a class of noncoding RNAs that play an important role in post-transcriptional gene regulation. Large-scale analyses are needed for the still increasingly growing amount of sequence data derived from new experimental technologies作者: Gum-Disease 時(shí)間: 2025-3-26 06:27
Implementation of a Distributed Architecture for Managing Collection and Dissemination of Data for Ft privacy was protected, researchers without dependable Internet access were accommodated, and researchers’ data were shared globally. Data dictionaries codified the nature of the data being integrated, data compliance was assured through multiple consistency checks, and recovery systems provided a 作者: Neonatal 時(shí)間: 2025-3-26 08:39
Grid-Enabled High Throughput Virtual Screening been able to deploy large scale virtual docking within the framework of the WISDOM initiative against malaria and avian influenza requiring about 100 years of CPU on the EGEE, Auvergrid and TWGrid infrastructures. These achievements demonstrated the relevance of large scale grids for the virtual sc作者: 信徒 時(shí)間: 2025-3-26 14:42
Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (,)jor technology behind the estimation of toxicity is quantitative structure activity relationship modelling. It is a complex procedure involving data gathering, preparation and analysis. The current paper describes the use of grid computing in the computational estimation of toxicity and provides a c作者: lobster 時(shí)間: 2025-3-26 18:46 作者: drusen 時(shí)間: 2025-3-27 00:01 作者: CRACY 時(shí)間: 2025-3-27 03:17 作者: 割讓 時(shí)間: 2025-3-27 05:35 作者: 殘忍 時(shí)間: 2025-3-27 12:28
Accessing Bio-databases with OGSA-DAI - A Performance Analysisbase management systems and to special type of files like SwissProt files. It could become a vital tool for data integration in life sciences since the data is produced by different sources and residing in different data management systems. With it, users will have more flexibility in accessing the 作者: 中和 時(shí)間: 2025-3-27 17:41 作者: 憤慨一下 時(shí)間: 2025-3-27 18:35 作者: observatory 時(shí)間: 2025-3-27 22:44 作者: 最有利 時(shí)間: 2025-3-28 05:08
The Three Fears Every Leader Has to Knowidual resources were analysed for consistency between them. We created a new resource containing only model fragments supported by agreement between the methods. Resources of this kind provide small sets of likely accurate predictions for non-expert users and are of interest in applied bioinformatics research.作者: RECUR 時(shí)間: 2025-3-28 06:55 作者: 地殼 時(shí)間: 2025-3-28 13:26
Using Public Resource Computing and Systematic Pre-calculation for Large Scale Sequence Analysis public resource computing in bioinformatics that makes large-scale pre-calculation of sequence analyses feasible. The FASTA-/Smith-Watermanand HMMer applications for BOINC are freely available from the authors upon request. Data from SIMAP is publicly available through Web-Services at http://mips.gsf.de/simap.作者: 貞潔 時(shí)間: 2025-3-28 18:20 作者: Confirm 時(shí)間: 2025-3-28 19:45 作者: Dictation 時(shí)間: 2025-3-28 23:57 作者: parsimony 時(shí)間: 2025-3-29 04:41
Gene Prediction in Metagenomic Libraries Using the Self Organising Map and High Performance Computinbenefits of the parallel algorithm and performance increases are explained, the latest results from annotation on an artificially generated metagenomic library presented and the viability of this approach for implementation on existing metagenomic libraries is assessed.作者: 環(huán)形 時(shí)間: 2025-3-29 08:19 作者: emulsify 時(shí)間: 2025-3-29 13:47
The Three Fears Every Leader Has to Knowomparative study on the acute toxicity of fathead minnow (.) comparing the heuristic multi-linear regression and artificial neural network approaches for quantitative structure activity relationship models.作者: heart-murmur 時(shí)間: 2025-3-29 18:27 作者: 仇恨 時(shí)間: 2025-3-29 20:47
https://doi.org/10.1007/978-94-007-2294-1benefits of the parallel algorithm and performance increases are explained, the latest results from annotation on an artificially generated metagenomic library presented and the viability of this approach for implementation on existing metagenomic libraries is assessed.作者: Hypomania 時(shí)間: 2025-3-30 02:55
https://doi.org/10.1007/979-8-8688-0805-0and querying as well as aid collaborations. We show a proof of concept of this approach as implemented in the Adun molecular simulation application together with a discussion of its limitations and possible extensions.作者: 楓樹 時(shí)間: 2025-3-30 06:57
Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (,)omparative study on the acute toxicity of fathead minnow (.) comparing the heuristic multi-linear regression and artificial neural network approaches for quantitative structure activity relationship models.作者: Condense 時(shí)間: 2025-3-30 11:56
https://doi.org/10.1007/978-1-4684-6724-6orms distributed resource management. Clients communicate with the grid through existing open BioMOBY Web services infrastructure. We also illustrate bioinformatics grid strategies for distributed load balancing, and report several nontrivial technical solutions that may serve as templates for adaptation by other bioinformatics groups.作者: In-Situ 時(shí)間: 2025-3-30 15:23 作者: flamboyant 時(shí)間: 2025-3-30 20:35
https://doi.org/10.1007/978-1-4684-6724-6on steps, and data dictionaries suggest general strategies for researchers involved in collaborative studies, particularly where data must be de-identified before being shared. The system met both the collaboration’s needs and the NIH Roadmap’s goal of wide access to databases that are robust and adaptable to researchers’ needs.
