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ABI Innovation: Barcoding-Free Multiplexing: Leveraging Combinatorial Pooling for High-Throughput Sequencing

ABI Innovation: Barcoding-Free Multiplexing: Leveraging Combinatorial Pooling for High-Throughput Sequencing
ABI 创新:无条形码多重分析:利用组合池进行高通量测序
批准号:
1062301
负责人:
Stefano Lonardi
金额:
$42.06万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-05-01 至 2015-04-30

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中文摘要
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英文摘要
The University of California, Riverside is awarded a grant to developan innovative sequencing protocol for hierarchical (i.e., BAC-by-BAC)genome sequencing of large eukaryotic genomes. At the core of theprotocol is the ability to solve a set of hard computationalquestions, which are the focus of the research plan. The computationalchallenges require the study of novel combinatorial optimizationproblems, the development of innovative time- and space-efficientalgorithms, and ultimately the implementation and deployment ofuser-friendly web-based software tools. The new combinatorialsequencing protocol is going to be tested to the cowpea genome. CowpeaVigna unguiculata, also known as China bean or black-eyed pea,is one of the most important food legume crops in the semi-aridtropics covering Asia, Africa, and Central and South America. Adrought-tolerant and warm-weather crop, cowpeas are well-adapted tothe drier regions of the tropics, where other food legumes do notperform well. Its modest genome size makes it an excellent candidateto demonstrate the utility of our protocol. We expect the finalassembly to provide a sufficient depth of knowledge to support mostdownstream applications including map-based cloning of traitdeterminants, development of markers for marker-assisted breeding,microarray development for gene expression studies and analysis ofsynteny with related species.This project will advance sequencing techniques for complex genomes,using cowpea, an essential food source in developingcountries. Software tools and the assembled data will be placed intothe public domain, which will benefit researchers and the publicworldwide, and potentially lead to new international and industrialcollaborations. This project will directly support one graduatestudents in a highly interdisciplinary environment, building on UCR'sstrengths in Computer Science and AgriculturalSciences. Undergraduates will have opportunities to participate inresearch through a Research Experiences for Undergraduates (REU) siteat UCR, a collaboration with a nearby community college, and a new USDepartment of Education Title V Hispanic Serving Institution grant(UCR is an accredited HSI).More details and information about this project will be available athttp://www.cs.ucr.edu/~stelo/dbi.htm
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III: Small: Improving de novo Genome Assembly using Optical Maps
  • 批准号:
    1814359
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2018
  • 负责人:
    Stefano Lonardi
  • 依托单位:
III: Small: Algorithms for Genome Assembly of Ultra-Deep Sequencing Data
  • 批准号:
    1526742
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.9万
  • 财政年份:
    2015
  • 负责人:
    Stefano Lonardi
  • 依托单位:
III: Medium: Algorithms and Software Tools for Epigenetics Research
  • 批准号:
    1302134
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $99.44万
  • 财政年份:
    2013
  • 负责人:
    Stefano Lonardi
  • 依托单位:
CAREER: Combinatorial Algorithms for Pattern Discovery with Applications to Data Mining and Computational Biology
  • 批准号:
    0447773
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2005
  • 负责人:
    Stefano Lonardi
  • 依托单位:
海外基金