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CAREER: Algorithms for single molecule sequence analysis

CAREER: Algorithms for single molecule sequence analysis
职业:单分子序列分析算法
批准号:
1350041
负责人:
Michael Schatz
金额:
$153.43万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-06-01 至 2016-04-30

项目摘要

项目成果

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中文摘要
翻译
冷泉港实验室授予PI Michael Schatz职业生涯补助金,用于开发新的计算方法,用于处理最新的高通量测序技术的DNA测序数据。在过去的三十年中,DNA测序的成本和通量已经提高了几个数量级,尽管许多问题仍未解决,特别是因为目前可用的序列长度较短。来自Pacific Biosciences、Moleculo、Oxford Nanopore和其他公司的新兴“第三代”测序技术正准备通过对DNA和RNA的长分子、单个分子进行测序来彻底改变基因组学。这些技术的序列长度可以达到数万个核苷酸,然而很少或没有分析包能够处理这些类型的基因序列数据。该项目将通过开发几种新的分析算法来克服这些限制,这些算法专门用于长读单分子测序及其相关的复杂误差模型。研究结果将有助于回答对整个社会具有深远意义的生物学问题,例如:水稻驯化的遗传含义是什么?是什么基因和调控因素导致了扁形虫令人难以置信的再生特性?或者,从组装甘蔗和菠萝的参考基因组到培育更健壮的植物作物和生物燃料可以理解什么?研究的具体目标包括将整个植物和动物染色体组装成完整的单倍型阶段序列;鉴定与疾病或适应性有关的融合基因和复杂的可选剪接模式;寻找与提高作物产量或癌症或自闭症等人类疾病相关的结构变异。即使未来的一些技术能够直接读取整个转录本或整个基因组,这项研究仍然有必要检查基因组群体之间更高层次的关系,或测量基因表达和剪接的动态。该项目将紧密结合研究和教育,通过开发新的课程材料、实践研究机会和一对一的指导经验,促进高中博士后水平的机会。这项工作将专门针对计算机科学和生物学的交叉领域,促进跨学科教育,并确保下一代科学家为定量和数字生物学的复杂性做好准备。为了吸引尽可能多的读者,Schatz博士还将通过一年一度的生物信息学竞赛开发新颖的在线教材。第一轮比赛有近1000名来自世界各地的各级教育学生参加,远远超出了我们的身体极限。这项研究的成果将作为开源软件提供,并安装在图形化的iPlant发现环境中,使世界各地的大型植物研究人员能够轻松访问它们。
英文摘要
The Cold Spring Harbor Laboratory is awarded a CAREER grant for the PI Michael Schatz to develop new computational methods for processing DNA sequencing data from the latest high-throughput sequencing technologies. DNA sequencing costs and throughput have improved by orders of magnitudes over the last three decades, although many questions remain unsolved, especially because of the short sequence lengths currently available. Emerging "third generation" sequencing technology from Pacific Biosciences, Moleculo, Oxford Nanopore, and other companies are poised to revolutionize genomics by enabling the sequencing of long, individual molecules of DNA and RNA. The sequence lengths with these technologies can reach up to tens of thousands of nucleotides, however few or no analysis packages are capable of dealing with these types of genetic sequence data. This project will overcome these limitations by developing several novel analysis algorithms specifically for long read single molecule sequencing and their associated complex error models. The outcomes will help answer biological questions of profound significance to all of society, such as: What were the genetic implications of the domestication of rice? What genes and regulatory elements give rise to the incredible regenerative properties of the flatworm? or, What can be understood from assembling reference genomes of sugarcane and pineapple towards breeding more robust plant crops and biofuels?Specific objectives of the research include working towards assembling entire plant and animal chromosomes into complete, haplotype-phased sequences; identifying fusion genes and complex alternative splicing patterns responsible for diseases or adaptability; and searching for structural variations associated with improved crop yield or human diseases such as cancer or autism. Even if some future technology is capable of directly reading entire transcripts or entire genomes, this research will remain necessary to examine the higher level relationships across populations of genomes or in measuring the dynamics of gene expression and splicing.This project will tightly integrate research and education, promoting opportunities at high school through postdoctoral levels with the development of new course materials, hands-on research opportunities, and one-on-one mentoring experiences. This effort will specifically target the intersection of computer science and biology, promoting interdisciplinary education, and ensuring the next generation of scientists are ready for the complexities of quantitative and digital biology. To engage the widest possible audience, Dr Schatz will also develop novel online teaching materials made available through a yearly bioinformatics contest. The first round of the contest reached nearly 1000 students around the world and at all levels of education, engaging students far beyond our physical limits. The products of the research will be made available as open-source software, and installed into the graphical iPlant Discovery Environment making them easily accessible to the large community of plant researcher around the world.
期刊论文(26)
专著(0)
科研奖励(0)
会议论文
DOI: 10.7554/elife.61797
发表时间: 2021-02-01
期刊: eLife
影响因子: 7.7
作者: [Chou HC, Bhalla K, Demerdesh OE, Klingbeil O, Hanington K, Aganezov S, Andrews P, Alsudani H, Chang K, Vakoc CR, Schatz MC, McCombie WR, Stillman B]
通讯作者: Stillman B
DOI: 10.1016/j.isci.2021.102696
发表时间: 2021-06-25
期刊: iScience
影响因子: 5.8
作者: [Ahmed O, Rossi M, Kovaka S, Schatz MC, Gagie T, Boucher C, Langmead B]
通讯作者: Langmead B
DOI: 10.1186/s12859-019-3208-4
发表时间: 2019-12-17
期刊: BMC BIOINFORMATICS
影响因子: 3
作者: [Aganezov, Sergey, Zban, Ilya, Schatz, Michael C.]
通讯作者: Schatz, Michael C.
DOI: 10.1093/bioinformatics/btaa911
发表时间: 2021-03-15
期刊: BIOINFORMATICS
影响因子: 5.8
作者: [Kirsche, Melanie, Das, Arun, Schatz, Michael C.]
通讯作者: Schatz, Michael C.
7
    Collaborative Research: EAGER: Unraveling the Nature and Onset of Instabilities in Suspension Flows
    • 批准号:
      2230893
    • 项目类别:
      Standard Grant
    • 资助金额:
      $9.99万
    • 财政年份:
      2022
    • 负责人:
      Michael Schatz
    • 依托单位:
    Graduate Teaching Assistant Professional Development (GTA-PD) Workshop
    • 批准号:
      1647516
    • 项目类别:
      Standard Grant
    • 资助金额:
      $3.4万
    • 财政年份:
      2016
    • 负责人:
      Michael Schatz
    • 依托单位:
    CAREER: Algorithms for single molecule sequence analysis
    • 批准号:
      1627442
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $119.69万
    • 财政年份:
      2016
    • 负责人:
      Michael Schatz
    • 依托单位:
    Collaborative Research: Revealing the Geometry of Spatio-temporal Chaos with Computational Topology: Theory, Numerics and Experiments
    • 批准号:
      1622113
    • 项目类别:
      Standard Grant
    • 资助金额:
      $10.0万
    • 财政年份:
      2016
    • 负责人:
      Michael Schatz
    • 依托单位:
    海外基金