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EAGER: Multi-Domain, Workflow Driven Computation System for Microbial Ecology Research and Analysis

EAGER: Multi-Domain, Workflow Driven Computation System for Microbial Ecology Research and Analysis
EAGER:用于微生物生态学研究和分析的多领域、工作流驱动的计算系统
批准号:
1250265
负责人:
Mark Ellisman
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-01 至 2014-07-31

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中文摘要
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英文摘要
This EAGER award to the University of California - San Diego, explores innovations to The Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis, (CAMERA, http://camera.calit2.net/). CAMERA is a widely used infrastructure that provides a single software system for depositing, locating, analyzing, visualization and sharing data about microbial biology. A heavily utilized and core component of CAMERA is the workflow driven computational system for data analysis. The award anticipates analysis needed for next generation sequence (NGS) data. BLASTx Work flows using CAMERA's Refseq Protein database) will require nearly 2.5 Million core hours to complete analysis of a typical NGS data set, making it impractical and costly to rely on a single computational resource for an entire workflow. The PI will prototype novel heuristic-based dynamic resource scheduling approaches to allowing distribution of workflow tasks among heterogeneous computing domains such as local systems, a variety of commercial clouds, and multiple national resources.This research explores development of a multi-domain scheduling system where the individual component tasks of a workflow are not bound to a single computational resource or domain, but rather can be scheduled across multiple resources as well as across institutional domains. It benefits a rapidly growing segment of the scientific community in both large and modest laboratories whose instruments now generate massive amounts of genomic data at modest expense but who have insufficient access to resources needed for processing or analyzing these data. The cyberinfrastructure to be established will potentially be usable by other science communities facing similar computational challenges.
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Making Big and Complex Data Easier to Assemble and Analyze in Distributed CI Environments: Expanding on Metagenomics Challenges Defined by CAMERA
  • 批准号:
    1419196
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2014
  • 负责人:
    Mark Ellisman
  • 依托单位:
EAGER: An Interoperable Information Infrastructure for Biodiversity Research (I3BR)
  • 批准号:
    1255035
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2012
  • 负责人:
    Mark Ellisman
  • 依托单位:
EAGER: An Exploration in Enabling Community-Driven Collaboration
  • 批准号:
    1153617
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.01万
  • 财政年份:
    2011
  • 负责人:
    Mark Ellisman
  • 依托单位:
RCN for Genomic and Metagenomic Standards
  • 批准号:
    0840989
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2009
  • 负责人:
    Mark Ellisman
  • 依托单位:
国内基金
海外基金
基于Multi-Pass Cell的高功率皮秒激光脉冲非线性压缩关键技术研究
Multi-decadeurbansubsidencemonitoringwithmulti-temporaryPStechnique
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    80万元
  • 批准年份:
    2022
  • 负责人:
    Timo Balz
  • 依托单位:
High-precision force-reflected bilateral teleoperation of multi-DOF hydraulic robotic manipulators
  • 批准号:
    52111530069
  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    10万元
  • 批准年份:
    2021
  • 负责人:
    徐兵
  • 依托单位:
大地电磁强噪音压制的Multi-RRMC技术及其在青藏高原东南缘-印支块体地壳流追踪中的应用