Bioinformatics For Systems Biology 2Nd Edition at Meripustak

Bioinformatics For Systems Biology 2Nd Edition

Books from same Author: KRAWETZ STEPHEN

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  • General Information  
    Author(s)KRAWETZ STEPHEN
    PublisherSPRINGER
    ISBN9781934115022
    Pages639
    BindingHardbound
    LanguageEnglish
    Publish YearMarch 2009

    Description

    SPRINGER Bioinformatics For Systems Biology 2Nd Edition by KRAWETZ STEPHEN

    With the completion of the human genome project, followed by the rise in high-throughput technologies like the various microarray and now high throughput genomic sequencing platforms,weexperiencedthebirthofSystemsBiologyafteritslonggestation. Thisrevolutionis markedbyachangeintheresearchparadigmfromthesinglesmall-scaleexperiment,i. e. ,following thechangeofacomponentinamulticomponentsystem,toonethatattemptstosimultaneously monitorthechangeoftensofthousandsofmoleculeswithinthisbody. Thisclearlynecessitatesthe unparalleleduseofproject-specificinformatictools,which,todate,requiresanunprecedentedlevel ofdevelopmenttocollect,manageandminethedataforinterestingassociations. Tobegintounderstandthisinformationwenowrelyonstatisticalanalysistoaidinourselection ofthefruitfromthetree. However,thisoftentakesusonajourneyintoanewfieldforwhichweare notyetprepared. SamuelJohnson(1709-1784)foreshadowedthedilemmawewouldfaceand characterizeditasfollows:"Knowledgeisoftwokinds. Weknowasubjectourselves,orweknow wherewecanfindinformationonit. "Itisforthelatterthatweroutinelyturntotheliterature._x000D_The rateofgrowthoftheliteratureparallelsthatofsequencingdataandthearraydataplacingan almostimpossibletaskbeforeeachinvestigator. Topartiallyeasethisburdenweareagainturning towardsdevelopinginformaticaidsthatminetheliteratureanddatatodevelopsummariesand associationstodirectlyaddressthequestionsposedandthenewhypothesesthataretobetested. Althoughmoreclearlyarticulated,weagainfacesimilarchallengesasthosetackledduringthe courseofthehumangenomeproject. Itisessentialthatthetrainingofthebiologistandcomput- scientistoccurinaninterdisciplinaryenvironmentofcross-fertilization. Withthisgoalinmindthe textbook"BioinformaticsforSystemsBiology"wasundertaken. WebeginthisexplorationwithPartI,toprovidethecomputerscientistwithanintroductiontothe underlyingprinciplesofcellbiology. ThisisfollowedbyabriefintroductioninPartIIasameansfor thebiologisttobecomefamiliarwithconceptsandthestatisticalanalysisoflargedatasets. PartIII thendescribes,todate,thebestcharacterizeduseofthemicroarrayplatformthatisnowmoving towardswholegenomeanalysis. Withallofthisdata,howdowebeginanalysisforcommonelements guidingtheunderlyingprinciples?ThisisdiscussedinPartIVwhichleadstoPartVandPartVIto test,insilico,therelationshipsonawidescaleinordertoassesstheirapplicability._x000D_Upondeveloping theassociations,PartVIIaskshowdoesthisinformationrelatetowhatwasmeasured?Asthesebasic principlesaredevelopedfroman"omics"drivenbiologicalsystemsapproach,theyareappliedin PartVIIItotranslationalmedicine. Anexcellentexampleisthenewterm"personalizedmedicine" thatisbeginningtoreverberateinclinicalcare. ItistheculminationoftheSystemsBiologyrevolution wheretechnologicaladvancesandcross-fertilizationhavedriventhefieldtomaturetothepoint whereitisbeingincorporatedinatruebench-to-bedsidemanner. Asyoureadthechapters,youwillfindthattheycanstandalone,yetcanbecombinedto emphasizetheintegralroleofinformaticsinSystemsBiology. Mostofthefiguresandtablesarein greyscale. IwouldencourageyoutoviewthosethatbenefitfromcolorontheaccompanyingCD. ThematerialcontainedontheCDprovidesanexcellentsourceofslidesforyourlecturesand presentations. v vi Preface Thechapter-relatedGlossaryandAbbreviationssectionwillassistinfamiliarizingyouwiththe terms. Youwillalsofindtheliteratureandsuggestedreadingsections,includingkeyreferences, veryusefulasyoudelveintothesubjectmatter. Technology,byitsverymeaningimpliesrefinement and change._x000D_The informatics approaches used in systems biology are continually subject to refinement. Withthisreality,youareencouragedtoutilizethewebsiteinformationprovidedin variouschapterstohelpaccessthemostcurrentinformationandresourcesavailable. AsSystems Biologydevelopsweareabletowitnessgrowingpainsandmilestones. Withcontinuedinformatic andbiologicalcross-fertilization,advancementsinSystemsBiologywillrevolutionizepersonalized medicineansweringquestionsbyintegratinginformationinunexpectedways. Contents PartI LifeofaCellandItsAnalysis...1 1 StructureandFunctionoftheNucleusandCellOrganelles...3 JonHolyandEdPerkins 2 TranscriptionandtheControlofGeneExpression...33 NadineWiper-BergeronandIlonaS. Skerjanc 3 RNAProcessingandTranslation...51 ChristinaKaramboulas,NadineWiper-Bergeron,andIlonaS. Skerjanc 4 DNAReplication,Recombination,andRepair...67 LindaB. Bloom 5 CellSignaling...89 DanielA. RappoleeandD. RandallArmant 6 EpigeneticsofSpermiogenesis-drivenbiologicalsystemsapproach,theyareappliedin PartVIIItotranslationalmedicine. Anexcellentexampleisthenewterm"personalizedmedicine" thatisbeginningtoreverberateinclinicalcare._x000D_ItistheculminationoftheSystemsBiologyrevolution wheretechnologicaladvancesandcross-fertilizationhavedriventhefieldtomaturetothepoint whereitisbeingincorporatedinatruebench-to-bedsidemanner. Asyoureadthechapters,youwillfindthattheycanstandalone,yetcanbecombinedto emphasizetheintegralroleofinformaticsinSystemsBiology. Mostofthefiguresandtablesarein greyscale. IwouldencourageyoutoviewthosethatbenefitfromcolorontheaccompanyingCD. ThematerialcontainedontheCDprovidesanexcellentsourceofslidesforyourlecturesand presentations. v vi Preface Thechapter-relatedGlossaryandAbbreviationssectionwillassistinfamiliarizingyouwiththe terms. Youwillalsofindtheliteratureandsuggestedreadingsections,includingkeyreferences, veryusefulasyoudelveintothesubjectmatter. Technology,byitsverymeaningimpliesrefinement and change. The informatics approaches used in systems biology are continually subject to refinement. Withthisreality,youareencouragedtoutilizethewebsiteinformationprovidedin variouschapterstohelpaccessthemostcurrentinformationandresourcesavailable. AsSystems Biologydevelopsweareabletowitnessgrowingpainsandmilestones._x000D_Withcontinuedinformatic andbiologicalcross-fertilization,advancementsinSystemsBiologywillrevolutionizepersonalized medicineansweringquestionsbyintegratinginformationinunexpectedways. Contents PartI LifeofaCellandItsAnalysis...1 1 StructureandFunctionoftheNucleusandCellOrganelles...3 JonHolyandEdPerkins 2 TranscriptionandtheControlofGeneExpression...33 NadineWiper-BergeronandIlonaS. Skerjanc 3 RNAProcessingandTranslation...51 ChristinaKaramboulas,NadineWiper-Bergeron,andIlonaS. Skerjanc 4 DNAReplication,Recombination,andRepair...67 LindaB. Bloom 5 CellSignaling...89 DanielA. RappoleeandD. RandallArmant 6 EpigeneticsofSpermiogenesis-CombiningInSilicoandProteomicApproaches intheMouseModel...105 SophieRousseauxandMyriamFerro 7 GenomicToolsforAnalyzingTranscriptionalRegulatoryNetworks...119 JohnJ. Wyrick PartII StatisticalToolsandTheirApplication...137 8 ProbabilityandHypothesisTesting...139 MichaelL. Kruger 9 StochasticModelsforBiologicalPatterns...151 GautamB. Singh 10 PopulationGenetics...163 JillS. Barnholtz-SloanandHemantK. Tiwari 11 StatisticalToolsforGeneExpressionAnalysisandSystemsBiology andRelatedWebResources...1_x000D_81 ChiaraRomualdiandGerolamoLanfranchi vii viii Contents PartIII TranscriptomeAnalysis...207 12 WhatGoesinisWhatComesOut:HowtoDesignandImplementaSuccessful MicroarrayExperiment...209 JeffreyA. LoebandThomasL. Beaumont 13 ToolsandApproachesforanEnd-to-EndExpressionArrayAnalysis...227 AdrianE. PlattsandStephenA. Krawetz 14 AnalysisofAlternativeSplicingwithMicroarrays...267 JingyiHui,ShivendraKishore,AmitKhanna,andStefanStamm PartIV StructuralandFunctionalSequenceAnalysis...281 15 AnIntroductiontoMultipleSequenceAlignment-andtheT-CoffeeShop. BeyondJust AligningSequences:HowGoodcanyouMakeyourAlignment,andsoWhat?...283 StevenM. Thompson 16 ASpectrumofPhylogenetic-BasedApproachesforPredictingProtein FunctionalSites...315 DukkaBahadurK. C. andDennisR. Livesay 17 TheRoleofTranscriptionFactorBindingSitesinPromotersandTheir InSilicoDetection...339 ThomasWerner 18 InSilicoDiscoveryofDNARegulatorySitesandModules...353 PanayiotisV. Benos PartV LiteratureMiningforAssociationandMeaning...367 19 MiningtheResearchLiteratureinSystemsBiology...369 KeirT. Reavie 20 GoPubMed:ExploringPubMedwithOntologicalBackgroundKnowledge...385 HeikoDietze,DimitraAlexopoulou,MichaelR._x000D_ _x000D_ Life of a Cell and its Analysis: Structure and Function of the Nucleus and Cell Organelles.- Transcription and the Control of Gene Expression.- RNA Processing and Translation.- DNA Replication, Recombination, and Repair.- Cell signalling.- Epigenetics of Spermiogenesis: combining in silico and proteomic approaches in the mouse model.- Genomic Tools for Analyzing Transcriptional Regulatory Networks.- Statistical Tools and Their Application: Probability and Hypothesis Testing.- Stochastic Models for Biological Patterns.- Population Genetics.- Statistical tools for gene expression analysis and system biology and related web resources.- Transcriptome Analysis: What goes in is what comes out: How to design and implement a successful microarray experiment.- Tools and Approaches for an End-to-End Expression Array Analysis.- Analysis of alternative splicing with microarrays.- Structural and Functional Sequence Analysis: An Introduction to Multiple Sequence Alignment - and the T-Coffee Shop. Beyond just aligning sequences: how good can you make your alignment, and so what?.- A spectrum of phylogenetic-based approaches for predicting protein functional sites.- The role of Transcription Factor Binding Sites in Promoters and Their In Silico Detection.- In silico Discovery of DNA Regulatory Sites and Modules.-Literature Mining for Association and Meaning: Mining the Research Literature in Systems Biology.- GoPubMed: Exploring PubMed with Ontological Background Knowledge.- BiblioSphere - Hypothesis Generation in Regulatory Network Analysis.- Biological Knowledge Extraction.- Genomic Databases: Using KEGG in the Transition from Genomics to Chemical Genomics.- Ensembl: Open-Source Software for Large-Scale Genome Analysis.- Management of spatially organised biological data using EMAGE.- Equality of the sexes? Parent-of-origin effects on transcription and de novo mutations.- Biological Networks: Methods for Structural Inference and Functional Module Identification inIntracellular Networks.- Methods for Dynamical Inference in Intracellular Networks.- ASIAN: Network Inference Web Server.- Bridging the Gap: Bioinformatics for Metabolomics.- Virtual Reality Meets Functional Genomics.- Systems Biology of Personalized Medicine._x000D_