《MasteringPerlforBioinformatics》完美打印版找了很久发现网上只有chm格式的，一些人喜欢阅读PDF格式的，PDF打印也方便些，于是做了PDF版的奉献给大家！花了很大精力才做成的哦！

Bioinformatics_Algorithms_－_Design_and_Implementation_in_Python.pdf

BioinformaticsAlgorithms:AnActiveLearningApproach2ndEdition,Vol.IbyPhillipCompeau&PavelPevzner

BeginningPerlforBioinformatics_HTML版.rarBeginningPerlforBioinformatics_HTML版.rar

Thisarticleisdirectedtothebeginningbioinformaticistorbiologistthinkingoflearningaprogramminglanguagetohelpwiththeirwork.IfyouarefamiliarwithPerl,PythonorJava,yourdecisionisprobablyalreadymade,basedonyourcurrentpreferredlanguage.However,ifyouhavenotalreadypassedthatdevelopmentalcheckpoint,thisoverviewmayhelpyoudecidewhichonetopursue.

Topicstocover•IntroductiontoBioPerl•UsingSequence&Featuremodules•UsingthemodulesforBLASTparser•Accessingsequencedatabases•UsingtheGFFprocessingmodules•GFFDatabase•Evolutionarydata•TreesandPopulationdataOverviewofToolkit•Bioperlis...•ASetofPerlmodulesformanipulatinggenomicandotherbiologicaldata•AnOpenSourceToolkitwithmanycontributors•Aflexibleandextensiblesystemfordoingbioinformaticsdatamanipulation

Informationtheoryandinference,taughttogetherinthisexcitingtextbook,lieattheheartofmanyimportantareasofmoderntechnology-co妹妹unication,signalprocessing,datamining,machinelearning,patternrecognition,computationalneuroscience,bioinformaticsandcryptography.Thebookintroducestheoryintandemwithapplications.Informationtheoryistaughtalongsidepracticalco妹妹unicationsystemssuchasarithmeticcodingfordatacompressionandsparse-graphcodesforerror-correction.Inferencetechniques,includingmessage-passingalgorithms,MonteCarlomethodsandvariationalapproximations,aredevelopedalongsideapplicationstoclustering,convolutionalcodes,independentcomponentanalysis,andneuralnetworks.Uniquely,thebookcoversstate-of-the-arterror-correctingcodes,includinglow-density-parity-checkcodes,turbocodes,anddigitalfountaincodes-thetwenty-first-centurystandardsforsatelliteco妹妹unications,diskdrives,anddatabroadcast.Richlyillustrated,filledwithworkedexamplesandover400exercises,somewithdetailedsolutions,thebookisidealforself-learning,andforundergraduateorgraduatecourses.Italsoprovidesanunparalleledentrypointforprofessionalsinareasasdiverseascomputationalbiology,financialengineeringandmachinelearning.

ISBN-13:978-1461417903ISBN-10:1461417902Edition:1sted.2013.Corr.2ndprinting2014BuyNewPrice:$265.05亚马逊买价。
这个书的价值，不多说了吧。
High-PerformanceComputingusingFPGAcoverstheareaofhighperformancereconfigurablecomputing(HPRC).Thisbookprovidesanoverviewofarchitectures,toolsandapplicationsforHigh-PerformanceReconfigurableComputing(HPRC).FPGAsofferveryhighI/Obandwidthandfine-grained,customandflexibleparallelismandwiththeever-increasingcomputationalneedscoupledwiththefrequency/powerwall,theincreasingmaturityandcapabilitiesofFPGAs,andtheadventofmulticoreprocessorswhichhascausedtheacceptanceofparallelcomputationalmodels.ThePartonarchitectureswillintroducedifferentFPGA-basedHPCplatforms:attachedco-processorHPRCarchitecturessuchastheCHREC’sNovo-GandEPCC’sMaxwellsystems;tightlycoupledHRPCarchitectures,e.g.theConveyhybrid-corecomputer;reconfigurablynetworkedHPRCarchitectures,e.g.theQPACEsystem,andstandaloneHPRCarchitecturessuchasEPFL’sCONFETTIsystem.ThePartonToolswillfocusonhigh-levelprogrammingapproachesforHPRC,withchaptersonC-to-Gatetools(suchasImpulse-C,AutoESL,Handel-C,MORA-C++);Graphicaltools(MATLAB-Simulink,NILabVIEW);Domain-specificlanguages,languagesforheterogeneouscomputing(forexampleOpenCL,Microsoft’sKiwiandAlchemyprojects).ThepartonApplicationswillpresentcasefromseveralapplicationdomainswhereHPRChasbeenusedsuccessfully,suchasBioinformaticsandComputationalBiology;FinancialComputing;Stencilcomputations;Informationretrieval;LatticeQCD;Astrophysicssimulations;Weatherandclimatemodeling.

生物信息学(Bioinformatics)是研究生物信息的采集、处理、存储、传播，分析和解释等各方面的学科，也是随着生命科学和计算机科学的迅猛发展，生命科学和计算机科学相结合形成的一门新学科。
它通过综合利用生物学，计算机科学和信息技术而揭示大量而复杂的生物数据所赋有的生物学奥妙。

PythoncourseinBioinformatics.pdf

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。