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Combinatorial algorithms for approximate string searching and DNA sequencing

Combinatorial algorithms for approximate string searching and DNA sequencing
用于近似字符串搜索和 DNA 测序的组合算法
批准号:
238785-2010
负责人:
Ilie, Lucian
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
We live in the Information Age. The amount of information available nowadays is not only astounding but also growing at an exponential rate. The size of the deep Web was estimated in 2002 at 90,000 terabytes. A large part of this data consists of text, such as natural language, multimedia streams, programming code, signals, biological sequences, etc. The recent boom in XML advocates text as the favorite format for information storage. This textual information needs to be processed, which is done by text indexing. Constructing efficient indexes for approximate string search is the most important problem in Information Retrieval.
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Bioinformatics Algorithms for Protein Interactions and Applications
  • 批准号:
    RGPIN-2021-03978
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2022
  • 负责人:
    Ilie, Lucian
  • 依托单位:
Bioinformatics Algorithms for Protein Interactions and Applications
  • 批准号:
    RGPIN-2021-03978
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2021
  • 负责人:
    Ilie, Lucian
  • 依托单位:
Bioinformatics Tools for Genomics and Proteomics Research
  • 批准号:
    RGPIN-2015-06451
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2019
  • 负责人:
    Ilie, Lucian
  • 依托单位:
Bioinformatics Tools for Genomics and Proteomics Research
  • 批准号:
    RGPIN-2015-06451
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2018
  • 负责人:
    Ilie, Lucian
  • 依托单位:
国内基金
海外基金
固定参数可解算法在平面图问题的应用以及和整数线性规划的关系
  • 批准号:
    60973026
  • 项目类别:
    面上项目
  • 资助金额:
    32.0万元
  • 批准年份:
    2009
  • 负责人:
    鲁道夫
  • 依托单位:
Computational Methods for Analyzing Toponome Data