Dynamic Programming Sequence alignment:動(dòng)態(tài)規(guī)劃序列比對(duì)ppt課件.ppt

Dynamic Programming Sequence alignment:動(dòng)態(tài)規(guī)劃序列比對(duì)ppt課件.ppt

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時(shí)間:2020-09-19

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1、DNASequenceComparison:FirstSuccessStoryFindingsequencesimilaritieswithgenesofknownfunctionisacommonapproachtoinferanewlysequencedgene’sfunctionIn1984RussellDoolittleandcolleaguesfoundsimilaritiesbetweencancer-causinggeneandnormalgrowthfactor(PDGF)geneAnormalgrowthgeneswitchedonatthewrongtimeca

2、usescancer!CysticFibrosisCysticfibrosis(CF)isachronicandfrequentlyfatalgeneticdiseaseofthebody'smucusglands.CFprimarilyaffectstherespiratorysystemsinchildren.SearchfortheCFgenewasnarrowedto~1Mbp,andtheregionwassequenced.Scannedadatabaseformatchestoknowngenes.Asegmentinthisregionmatchedthegenef

3、orsomeATPbindingprotein(s).Theseproteinsarepartoftheiontransportchannel,andCFinvolvessweatsecretionswithabnormalsodiumcontent!RoleforBioinformaticsGenesimilaritiesbetweentwogeneswithknownandunknownfunctionalertbiologiststosomepossibilitiesComputingasimilarityscorebetweentwogenestellshowlikelyi

4、tisthattheyhavesimilarfunctionsDynamicprogrammingisatechniqueforrevealingsimilaritiesbetweengenesMotivatingDynamicProgrammingDynamicprogrammingexample: ManhattanTouristProblemImagineseekingapath(fromsourcetosink)totravel(onlyeastwardandsouthward)withthemostnumberofattractions(*)intheManhattang

5、ridSink***********Source*Imagineseekingapath(fromsourcetosink)totravel(onlyeastwardandsouthward)withthemostnumberofattractions(*)intheManhattangridSink***********Source*Dynamicprogrammingexample: ManhattanTouristProblemManhattanTouristProblem:FormulationGoal:Findthelongestpathinaweightedgrid.I

6、nput:AweightedgridGwithtwodistinctvertices,onelabeled“source”andtheotherlabeled“sink”O(jiān)utput:AlongestpathinGfrom“source”to“sink”MTP:AnExample32407333013244564655822501230123jcoordinateicoordinate13sourcesink432401024331122241995152302034MTP:GreedyAlgorithmIsNotOptimal1252152340005303501035512pr

7、omisingstart,butleadstobadchoices!sourcesink1822MTP:SimpleRecursiveProgramMT(n,m)ifn=0orm=0returnMT(n,m)x?MT(n-1,m)+lengthoftheedgefrom(n-1,m)to(n,m)y?MT(n,m-1)+lengthoftheedgefrom(n,m-1)to(n,m)returnmax{x,y}What’swrongwiththisapproach?

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