A FAST SEQUEST CROSS CORRELATION ALGORITHM
A FAST SEQUEST CROSS CORRELATION ALGORITHM
批准号:
7957831
负责人:
Michael MacCoss
金额:
$2.77万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2010-08-31
关键词:
AlgorithmsBiologyComputer Retrieval of Information on Scientific Projects DatabaseDatabasesFourier TransformFundingFungal GenomeGrantInstitutionMass Spectrum AnalysisMethodsPeptidesResearchResearch PersonnelResourcesSourceTimeUnited States National Institutes of Healthbaseprogramsprotein aminoacid sequencetool
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This subproject is one of many research subprojects utilizing the
resources provided by a Center grant funded by NIH/NCRR. The subproject and
investigator (PI) may have received primary funding from another NIH source,
and thus could be represented in other CRISP entries. The institution listed is
for the Center, which is not necessarily the institution for the investigator.
The SEQUEST program was the first and remains one of the most widely used tools for assigning a peptide sequence within a database to a tandem mass spectrum. The cross correlation score is the primary score function implemented within SEQUEST and it is this score that makes the tool particularly sensitive. Unfortunately, this score is computationally expensive to calculate, and thus, to make the score manageable, SEQUEST uses a less sensitive but fast preliminary score and restricts the cross correlation to just the top 500 peptides returned by the preliminary score. Classically, the cross correlation score has been calculated using Fast Fourier Transforms (FFT) to generate the full correlation function. We describe an alternate method of calculating the cross correlation score that does not require FFTs and can be computed efficiently in a fraction of the time. The fast calculation allows all candidate peptides to be scored by the cross correlation function, potentially mitigating the need for the preliminary score, and enables an E-value significance calculation based on the cross correlation score distribution calculated on all candidate peptide sequences obtained from a sequence database.
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依托单位:
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Self Correcting Nanoflow LC-MS for Clinical Proteomics
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DEVELOPMENT OF CUSTOM FAIMS ELECTRONICS
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OPTIMIZATION OF NANOFLOW LC FOR IMPROVED PEAK CAPACITY AND PEPTIDE IDS
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国内基金
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