简介:DNAcondensationisanimportantprocessinmanyfieldsincludinglifesciences,polymerphysics,andappliedtechnology.Inthenucleus,DNAiscondensedintochromosomes.Inpolymerphysics,DNAistreatedasasemi-flexiblemoleculeandapolyelectrolyte.Manyagents,includingmulti-valentcations,surfactants,andneutralpoorsolvents,cancauseDNAcondensation,alsoreferredtoascoil–globuletransition.Moreover,DNAcondensationhasbeenusedforextractionandgenedeliveryinappliedtechnology.ManyphysicaltheorieshavebeenpresentedtoelucidatethemechanismunderlyingDNAcondensation,includingthecounterioncorrelationtheory,theelectrostaticzippertheory,andthehydrationforcetheory.Recentlyseveralsingle-moleculestudieshavefocusedonDNAcondensation,sheddingnewlightonoldconcepts.Inthisdocument,themulti-fieldconceptsandtheoriesrelatedtoDNAcondensationareintroducedandclarifiedaswellastheadvancesandconsiderationsofsingle-moleculeDNAcondensationexperimentsareintroduced.
简介:AdoublehelixmodelofchargetransportinDNAmoleculeisgivenandthetransmissionspectraoffourDNAsequencesareobtained.ThecalculatedresultsshowthatthetransmissioncharacteristicsofDNAarenotonlyrelatedtothelongitudinaltransportbutalsotothetransversetransportofmolecule.Theperiodicsequencewiththesamecompositionhasstrongerconductionability.Withtheincreasingofbasescomposition,theconductiveabilityreduces,buttheweightofθdirectionrisesinchargetransfer.
简介:高速光电探测器阵列可对脉冲辐射场的时空分布进行高时间分辨连续测量,但对信号处理电路的性能和紧凑性提出了极为苛刻的要求。探测器阵列的信号处理主要包括探测器模拟信号调理前端和高速模拟信号实时采样处理后端。针对32通道1维光电探测器阵列,设计实现了后端实时信号处理系统。该系统采用多通道高速ADC和FPGA实现了探测器模拟信号的12bit量化,采样频率为75MHz;针对多通道ADC输出的高速串行信号,设计实现了低开销的时钟对齐与帧识别电路,时钟对齐精度为78ps,保证了对多路高速串行数据的正确获取;基于高性能FPGA,实现了对32个采样通道数据的实时处理与存储,信号处理电路的数据获取和实时处理速度达28.8Gb/s。
简介:Chaosgamerepresentation(CGR)isaniterativemappingtechniquethatprocessessequencesofunits,suchasnucleotidesinaDNAsequenceoraminoacidsinaprotein,inordertodeterminethecoordinatesoftheirpositionsinacontinuousspace.Thisdistributionofpositionshastwofeatures:oneisunique,andtheotherissourcesequencethatcanberecoveredfromthecoordinatessothatthedistancebetweenpositionsmayserveasameasureofsimilaritybetweenthecorrespondingsequences.ACGR-walkmodelisproposedbasedonCGRcoordinatesfortheDNAsequences.TheCGRcoordinatesareconvertedintoatimeseries,andalong-memoryARFIMA(p,d,q)model,whereARFIMAstandsforautoregressivefractionallyintegratedmovingaverage,isintroducedintotheDNAsequenceanalysis.ThismodelisappliedtosimulatingrealCGR-walksequencedataoftengenomicsequences.Remarkablylong-rangecorrelationsareuncoveredinthedata,andtheresultsfromthesemodelsarereasonablyfittedwiththosefromtheARFIMA(p,d,q)model.