Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
基本信息
- 批准号:46373-2013
- 负责人:
- 金额:$ 3.21万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2015
- 资助国家:加拿大
- 起止时间:2015-01-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The proposed research program will focus on the development of algorithms and the construction of software tools for peptide, glycan, and protein identification and analysis with mass spectrometry and RNA structure analysis. The long-term objective of the proposed research is to provide biological and health researchers with software tools for characterizing proteins with mass spectrometry and analyzing RNA structures. We will develop novel algorithms to help constructing software tools with improved accuracy and quality. Within this research proposal four short-term goals will be pursued:
(1) Increase de novo sequencing peptide identification rate: De novo sequencing can identify novel peptides that do not exist in any database. Our research will address the low identification rate problem associated with the ''mixture'' spectra, where two or more precursor ions with similar mass and retention time are co-eluted by MS/MS.
(2) Improve accuracy for de novo glycan sequencing: We will develop new algorithms to address the inadequate accuracy in current methods for the determination of glycan structure.
(3) Automate complete protein sequencing with MS/MS: We will develop new algorithms for complete protein sequencing without template proteins.
(4) Analyze RNA-RNA interaction structure: comparison and inference: We will study the complexity and design algorithms for RNA-RNA joint structure comparison and inference problems.
The proposed research in this application will enable effective cross-disciplinary training, placing HQP in a collaborative environment.
拟议的研究计划将侧重于算法的开发和软件工具的构建,用于肽,聚糖和蛋白质的鉴定和质谱分析和RNA结构分析。拟议研究的长期目标是为生物和健康研究人员提供软件工具,用于用质谱法表征蛋白质和分析RNA结构。我们将开发新的算法,以帮助构建具有更高精度和质量的软件工具。 在这项研究提案中,将追求四个短期目标:
(1)提高从头测序肽识别率:从头测序可以识别任何数据库中都不存在的新肽。我们的研究将解决与“混合物”光谱相关的低识别率问题,其中两个或多个具有相似质量和保留时间的前体离子通过MS/MS共洗脱。
(2)提高从头聚糖测序的准确性:我们将开发新的算法,以解决当前聚糖结构测定方法准确性不足的问题。
(3)使用MS/MS自动完成蛋白质测序:我们将开发新的算法,用于在没有模板蛋白的情况下完成蛋白质测序。
(4)分析RNA-RNA相互作用结构:比较和推理:我们将研究RNA-RNA联合结构比较和推理问题的复杂性和设计算法。
本申请中的拟议研究将实现有效的跨学科培训,将HQP置于协作环境中。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Zhang, Kaizhong其他文献
Algorithmic approaches for genome rearrangement: A review
- DOI:
- 发表时间:
- 期刊:
- 影响因子:
- 作者:
Li, Zimao;Wang, Lusheng;Zhang, Kaizhong; - 通讯作者:
Experimental investigation into the damage-induced permeability and deformation relationship of tectonically deformed coal from Huainan coalfield, China
淮南煤田构造变形煤损伤诱发渗透率与变形关系试验研究
- DOI:
10.1016/j.jngse.2018.10.017 - 发表时间:
2018-12-01 - 期刊:
- 影响因子:0
- 作者:
Liu, Qingquan;Zhang, Kaizhong;Wang, Liang - 通讯作者:
Wang, Liang
Geological Control of Fold Structure on Gas Occurrence and Its Implication for Coalbed Gas Outburst: Case Study in the Qinan Coal Mine, Huaibei Coalfield, China
- DOI:
10.1007/s11053-019-09511-7 - 发表时间:
2020-04-01 - 期刊:
- 影响因子:5.4
- 作者:
Zhang, Kaizhong;Wang, Liang;Jiang, Jingyu - 通讯作者:
Jiang, Jingyu
An algorithm for searching RNA motifs in genomic sequences
- DOI:
10.1016/j.bioeng.2007.02.005 - 发表时间:
2007-09-01 - 期刊:
- 影响因子:0
- 作者:
Liu, Jingping;Ma, Bin;Zhang, Kaizhong - 通讯作者:
Zhang, Kaizhong
An approach for N-linked glycan identification from MS/MS spectra by target-decoy strategy
- DOI:
10.1016/j.compbiolchem.2018.03.014 - 发表时间:
2018-06-01 - 期刊:
- 影响因子:3.1
- 作者:
Sun, Weiping;Liu, Yi;Zhang, Kaizhong - 通讯作者:
Zhang, Kaizhong
Zhang, Kaizhong的其他文献
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{{ truncateString('Zhang, Kaizhong', 18)}}的其他基金
Algorithms and software tools for analysis of mass spectrometry data
用于分析质谱数据的算法和软件工具
- 批准号:
RGPIN-2018-05939 - 财政年份:2022
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for analysis of mass spectrometry data
用于分析质谱数据的算法和软件工具
- 批准号:
RGPIN-2018-05939 - 财政年份:2021
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for analysis of mass spectrometry data
用于分析质谱数据的算法和软件工具
- 批准号:
RGPIN-2018-05939 - 财政年份:2020
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for analysis of mass spectrometry data
用于分析质谱数据的算法和软件工具
- 批准号:
RGPIN-2018-05939 - 财政年份:2019
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for analysis of mass spectrometry data
用于分析质谱数据的算法和软件工具
- 批准号:
RGPIN-2018-05939 - 财政年份:2018
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
- 批准号:
46373-2013 - 财政年份:2017
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
- 批准号:
446351-2013 - 财政年份:2015
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
- 批准号:
46373-2013 - 财政年份:2014
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
- 批准号:
446351-2013 - 财政年份:2014
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Algorithms and software tools for mass spectrometry data analysis and RNA structure analysis
用于质谱数据分析和RNA结构分析的算法和软件工具
- 批准号:
46373-2013 - 财政年份:2013
- 资助金额:
$ 3.21万 - 项目类别:
Discovery Grants Program - Individual
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