De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)

从头组装工具:使用无偏差引擎进行研究 - 更新 (DNA-TRUER)

基本信息

  • 批准号:
    9976547
  • 负责人:
  • 金额:
    $ 24.29万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-03-04 至 2023-03-31
  • 项目状态:
    已结题

项目摘要

SUMMARY This grant renewal proposal is about developing innovative new software that will allow health researchers to take advantage of new advances in DNA sequencing. Over the last decade, technology advances have made DNA sequencing a routine and cost- effective method in many fields of life sciences research. The dominant technology today generates millions of short sequences, consisting of 75-300 base pairs (the “letters” that make up the DNA sequence). These short “reads” have to be assembled in the right order to make sense of the data. Dr. Birol and his team are world leaders in genome assembly, and the award- winning software they have developed (with support from their existing NIH grant and other funding) has been used in diverse DNA sequencing projects, including The Cancer Genome Atlas project. Newer technologies are now becoming available that generate information on much longer stretches of the input DNA as long or linked reads. Long read platforms can sequence over 100,000 base pairs per read, though with a very high error rate and low throughput. Linked read platforms can associate multiple reads over similar lengths, although the data contains many gaps. Still, if coupled with bioinformatics tools that can leverage the rich information they provide, these new sequencing platforms will open new frontiers in health research. Dr. Birol is seeking to renew his NIH funding so that he can develop specialized software that will quickly, accurately, and efficiently assemble and analyse long and linked sequence reads. These tools would provide advanced capabilities in a range of projects, such as tracking infectious disease outbreaks, using genetic information to select the best drugs to treat an individual patient's cancer, and other applications. The new tools will be made available online free for other non-profit researchers to use in their own sequencing projects, allowing teams around the world to make faster progress in health research.
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项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Inanc Birol其他文献

Inanc Birol的其他文献

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{{ truncateString('Inanc Birol', 18)}}的其他基金

De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)
从头组装工具:使用无偏差引擎进行研究 - 更新 (DNA-TRUER)
  • 批准号:
    10589632
  • 财政年份:
    2022
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)
从头组装工具:使用无偏差引擎进行研究 - 更新 (DNA-TRUER)
  • 批准号:
    9552251
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines (DNA-TRUE)
从头组装工具:使用无偏差引擎进行研究 (DNA-TRUE)
  • 批准号:
    8631896
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)
从头组装工具:使用无偏差引擎进行研究 - 更新 (DNA-TRUER)
  • 批准号:
    9382151
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines (DNA-TRUE)
从头组装工具:使用无偏差引擎进行研究 (DNA-TRUE)
  • 批准号:
    8816112
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines - Renewal (DNA-TRUER)
从头组装工具:使用无偏差引擎进行研究 - 更新 (DNA-TRUER)
  • 批准号:
    9791194
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
De Novo Assembly Tools: Research with Unbiased Engines (DNA-TRUE)
从头组装工具:使用无偏差引擎进行研究 (DNA-TRUE)
  • 批准号:
    9002847
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
Identification and annotation of 3' UTR ends using RNA-seq data
使用 RNA-seq 数据识别和注释 3 UTR 末端
  • 批准号:
    8751765
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
Pan-cancer survey of candidate non-coding RNA transcripts on the cloud using a targeted de novo assembly approach
使用靶向从头组装方法在云上对候选非编码 RNA 转录本进行泛癌调查
  • 批准号:
    9167382
  • 财政年份:
    2014
  • 资助金额:
    $ 24.29万
  • 项目类别:
Neuroinformatics for gene expression: networks, function and meta-analysis
基因表达的神经信息学:网络、功能和荟萃分析
  • 批准号:
    8502624
  • 财政年份:
    2005
  • 资助金额:
    $ 24.29万
  • 项目类别:

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