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INFORMATION SYSTEMS FOR VERY HIGH THROUGHPUT SEQUENCING

INFORMATION SYSTEMS FOR VERY HIGH THROUGHPUT SEQUENCING
用于极高通量测序的信息系统
批准号:
2459840
负责人:
David J States
金额:
$38.11万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-09-30 至 1999-07-31

项目摘要

项目成果

David J States的其他基金

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中文摘要
翻译
完成人类基因组序列将需要非常高的成本 在数量和质量上不同的吞吐量测序中心 甚至来自当今最大的“大规模”测序实验室。 将中心的规模和吞吐量增加超过一个订单 数量级将显著改变计算支持需求 对适应性和可靠性以及整体能力的要求。 该项目将详细研究这些扩展问题,并将设计 支持超高吞吐量测序的信息学架构。 DNA序列分析的成本在很大程度上取决于其准确性 已完成数据的必填项。将开发模型来预测 不同排序策略的预期错误率,并评估 可能的错误率对数据利用率的影响。基因组测序 中心,将被用作案例研究和测试- 床。这项建议的目标是: 具体目标L。设计一个支持非常高的模块化体系结构 吞吐量排序 具体目标2.了解DNA序列准确性的决定因素 具体目标3.分析容易出错的DNA序列 A.改进的易出错DNA序列分析工具 B.理解容易出错的DNA序列的用途 具体目标4.自动生成准确的共识序列 具体目标5.为非常高的标准制定质量保证程序 吞吐量DNA测序 具体目标6.传播成果
英文摘要
Completing the sequence of the human genome will involve very high throughput sequencing centers that differ quantitatively and qualitatively from even the largest of today's "large scale" sequencing laboratories. Increasing the size and throughput of a center by more than an order magnitude will substantially alter computing support needs with new requirements for adaptability and reliability as well as overall capacity. This project will examine these scaling issues in detail and will design an informatics architecture to support very high throughput sequencing. The cost of DNA sequence analysis is highly dependent on the accuracy required of the finished data. Models will be developed to predict expected error rates for different sequencing strategies and to assess the impact of likely error rates on data utility. The Genome Sequencing Center, at Washington University, will be used as a case study and test- bed. The objectives of this proposal are: Specific Aim l. Designing a modular architecture to support very high throughput sequencing Specific Aim 2. Understanding the determinants of DNA sequence accuracy Specific Aim 3. Analyzing error prone DNA sequence a.Improved tools for the analysis of error prone DNA sequence b.Understanding the utility of error prone DNA sequence Specific Aim 4. Automating accurate consensus sequence generation Specific Aim 5. Developing quality assurance procedures for very high throughput DNA sequencing Specific Aim 6. Disseminating results
期刊论文(12)
专著(0)
科研奖励(0)
会议论文
Conformational model for binding site recognition by the E.coli MetJ transcription factor.
大肠杆菌 MetJ 转录因子识别结合位点的构象模型。
DOI: 10.1093/bioinformatics/17.7.622
发表时间: 2001
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: [Liu,R, Blackwell,TW, States,DJ]
通讯作者: States,DJ
Filter matrix estimation in automated DNA sequencing.
自动 DNA 测序中的过滤矩阵估计。
DOI: 10.1109/10.664198
发表时间: 1998
期刊: IEEE transactions on bio-medical engineering
影响因子: --
作者: [Huang,W, Fuhrmann,DR, Politte,DG, ThomasJr,LJ, States,DJ]
通讯作者: States,DJ
Comparison of whole genome assemblies of the human genome.
人类基因组的全基因组组装的比较。
DOI: 10.1093/nar/gkf633
发表时间: 2002
期刊: Nucleic acids research
影响因子: 14.9
作者: [Rouchka,EricC, Gish,Warren, States,DavidJ]
通讯作者: States,DavidJ
UTR reconstruction and analysis using genomically aligned EST sequences.
使用基因组比对的 EST 序列进行 UTR 重建和分析。
DOI: --
发表时间: 2000
期刊: Proceedings. International Conference on Intelligent Systems for Molecular Biology
影响因子: --
作者: [Kan,Z, Gish,W, Rouchka,E, Glasscock,J, States,D]
通讯作者: States,D
共 8 条
    BIOINFORMATICS: INTEGRATION OF PROTEOMICS DATA
    BIOINFORMATICS: INTEGRATION OF PROTEOMICS DATA
    Training Program in Bioinformatics
    Training Program in Bioinformatics
    海外基金