轉(zhuǎn)錄調(diào)控計算分析平臺的開發(fā)及其在腫瘤發(fā)病機制研究中的應(yīng)用.pdf

1、上海大學(xué)碩士學(xué)位論文轉(zhuǎn)錄調(diào)控計算分析平臺的開發(fā)及其在腫瘤發(fā)病機制研究中的應(yīng)用姓名：楊旭智申請學(xué)位級別：碩士專業(yè)：生物化學(xué)與分子生物學(xué)指導(dǎo)教師：王健20080501上海大學(xué)碩士學(xué)位論文ABSTRACTWmthenewdevelopmentsinpostgenomicerathehi曲throughput”omics”technologysuchastheChiPonchiptechnique，hasbeenboostinginrecent

2、yearsHowever’theresultingmassofexperimentaldatahasbroughtwithitnewchallengesintermsoftranslatingthesedataintobiologicallymeaningfulconclusionsandresultsusableforthefollowinganalysisPotentialeffectivesolutionstosuchanalyt

3、icalproblemsarcdiscussedhereTocarryonthecomplicatedandresourceconsumingcalculation，anautoadaptiveparallelsystemhasbeendesignedThesystemconsistsofthreelogicmodules，whichimplementautomatingtheanalysispipelineofChIPonchipex

4、periment，bindingsiteanalyzinginenrichedDNAfragments，andminingpossiblerelationshipbetweentranscriptionalandposttranscriptionalmiRNAregulatorynetworkrespectivelyInordertomakecommonprocessingmethodreusabletofacilitatethedes

5、ignationageneralbasicbioinformaticsmodulehasbeenabstractedoutoftherequirementanalysisofdatamining，whichfunctionsasthebaselayerofthewholesystemhereinThesystemWasappliedsuccessfullytoanalyzetheChiPonchipdataregardingthemec

6、hanismsofAcuteMyelogenousLeukemia(AML)anditstreatmentnalsodemonstratedgoodperformanceinminingspecifictranscriptfactorsgenomicbindinginformationindifferentconditionsThisresearchexploredthesmartparallelcomputingtechniquein

7、massbioinformaticsdatamining，whichCanadjustthecalculatingtasksdynamicallyaccordingtothecomputer’Srun—timeresourceusageTheindependentparallelplatformandanalyticalmodulesconstructedherehavehighreusabilityandportabilityThis