Development of Trans Proteomic Pipeline, an Analysis Suite for Mass Spectrometry
Development of Trans Proteomic Pipeline, an Analysis Suite for Mass Spectrometry
批准号:
8698152
负责人:
Eric Deutsch
金额:
$52.13万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2018-03-31
关键词:
AddressAdoptionAlgorithmsAreaBiochemistryBiologicalBiological MarkersBiologyBoxingCellsClinicalCloud ComputingCommunitiesComplementComputer softwareDataData AnalysesData CollectionData SetDatabasesDevelopmentDiagnostic ProcedureDisciplineDiseaseEducational process of instructingEmerging TechnologiesEnsureEnvironmentFeedbackGenomicsGoalsGrantHumanImageryInvestigationLawsLinuxMaintenanceMass Spectrum AnalysisMeasurementMonitorNatureOutputPost-Translational Protein ProcessingProcessProductionProgram DevelopmentProteinsProteomeProteomicsProtocols documentationReactionReportingResearchResolutionSamplingSensitivity and SpecificitySiteSoftware ToolsSpeedStagingStressStudentsSystemTechnologyTherapeuticTissuesTrustUpdateValidationWestern BlottingWritingbasecomplex biological systemscomputer frameworkcomputerized data processingcomputerized toolsdata sharingflexibilitygraphical user interfacehuman diseaseimprovedinstrumentationinterestmass spectrometernew technologynext generationopen sourceoperationprogramsprotein expressionpublic health relevancesoftware developmenttandem mass spectrometrytechnique developmenttooltool developmenttranscriptome sequencing
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Mass spectrometry based proteomics is a key technology for the identification, quantification and comparison of proteins and their post-translational modifications across all aspects of biology. One major barrier in proteomics workflows is the paucity of flexible and customizable computational frameworks for generating data analysis software pipelines. Current software pipelines are often static, with limited flexibility beyond the specific analyses for which they were created and generally lag behind due to little or no maintenance. These tools therefore lack broad functionality and improvements in areas such as statistical validation, limiting the potential of the software to mere spectrum matching through black box tools. To address these barriers, we have been developing, maintaining and distributing cutting edge proteomics computational tools and standards in data analysis over the last 12 years through our program suite called the Trans-Proteomic Pipeline. Concomitant with software development, we ensure wide community adoption through extensive tutoring to all interested users of the proteomics community. Through our development, we have provided new functionality for proteomics data analyses with both new and improved statistical validation and global qualification. However, with new styles of mass spectrometry instrumentation that attempt to now provide comprehensive analysis, software tools must be continually maintained and new functionality developed in an extensible and flexible framework that ensures robust, routine operation so that it provides the user community, from novice to the most extreme power experts, with trusted results. The Trans-Proteomic Pipeline has been the first and most continually developed and maintained product for these requirements. Our goal of providing all these tools as both full open source and freely available complement of programs, ensures wide adoption and permits community input into the tools development for the broadest and most needed functionality possible. This continuing program of development and maintenance of the Trans-Proteomic Pipeline builds on the successful approach of robust tools development with the focus of "from start to the end analysis" of proteomics data. With ever increasing data collection rates at a "Moore's Law" level, this program will continue to develop tools to analyze these larger and larger datasets. We will develop and integrate tools for new styles of proteomic data collection such as multiplexed data-independent analysis capable of providing near full proteome quantitation in a single analysis, integration of next generation RNA-seq genomic analysis for sample specific databases, post-translational modification statistical analysis for confident site specific identification, and the
implementation of new selected-reaction monitoring capabilities that drive proteomics as the next generation "Western Blot". All these efforts are underpinned by a strong computational and biochemistry focused background to ensure the tools are well written with maximum relevance to biology.
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Biomedical Data Translator Development of Autonomous Relay Agent: ARAX
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批准号:10333468
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项目类别:
-
资助金额:$89.71万
-
财政年份:2020
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负责人:Eric Deutsch
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依托单位:
Biomedical Data Translator Development of Autonomous Relay Agent: ARAX
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批准号:10705400
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项目类别:
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资助金额:$135.3万
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财政年份:2020
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负责人:Eric Deutsch
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依托单位:
Biomedical Data Translator Development of Autonomous Relay Agent: ARAX
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批准号:10548476
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项目类别:
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资助金额:$111.9万
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财政年份:2020
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负责人:Eric Deutsch
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依托单位:
Biomedical Data Translator Development of Autonomous Relay Agent: ARAX
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批准号:10056621
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项目类别:
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资助金额:$84.78万
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财政年份:2020
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负责人:Eric Deutsch
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依托单位:
Advancing data and metadata standards for proteomics mass spectra
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批准号:9385249
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项目类别:
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资助金额:$42.69万
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财政年份:2017
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负责人:Eric Deutsch
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依托单位:
Advancing data and metadata standards for proteomics mass spectra
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批准号:9768496
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项目类别:
-
资助金额:$38.54万
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财政年份:2017
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负责人:Eric Deutsch
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依托单位:
Development of Trans Proteomic Pipeline, an Analysis Suite for Mass Spectrometry
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批准号:10155495
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项目类别:
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资助金额:$52.48万
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财政年份:2010
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负责人:Eric Deutsch
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依托单位:
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computing
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批准号:10389405
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项目类别:
-
资助金额:$10.0万
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财政年份:2010
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负责人:Eric Deutsch
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依托单位:
Development of Trans Proteomics Pipeline, an Analysis Suite for Mass Spectrometry
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批准号:8325142
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项目类别:
-
资助金额:$56.5万
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财政年份:2010
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负责人:Eric Deutsch
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依托单位:
海外基金