Bioinformatics for Systems Biology

Krawetz, S. (ed.)

ISBN 10: 1934115029 / ISBN 13: 9781934115022

Editore: Springer-Verlag, 2009

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. CD included. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1750grams, ISBN:9781934115022. Codice articolo 9244808

Riassunto:

WebeginthisexplorationwithPartI,toprovidethecomputerscientistwithanintroductiontothe underlyingprinciplesofcellbiology. ThisisfollowedbyabriefintroductioninPartIIasameansfor thebiologisttobecomefamiliarwithconceptsandthestatisticalanalysisoflargedatasets. PartIII thendescribes,todate,thebestcharacterizeduseofthemicroarrayplatformthatisnowmoving towardswholegenomeanalysis. Withallofthisdata,howdowebeginanalysisforcommonelements guidingtheunderlyingprinciples?ThisisdiscussedinPartIVwhichleadstoPartVandPartVIto test,insilico,therelationshipsonawidescaleinordertoassesstheirapplicability. 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. 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 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 Statistica

Dalla quarta di copertina:

The biological sciences are now in the midst of a true life sciences revolution akin to what physics experienced just after the turn of the last century. We are now in a phase of unparalleled growth that is reflected by the amount of data generated from each experiment. At the time of this writing, the rate of data acquisition was approaching 2 terabytes over the course of 5 days with first pass analysis proceeding over the following 2-3 week period. This fundamental shift has provided unprecedented opportunities that for the first time afford us the ability, i.e., means, breadth, and depth of data, to truly address human biology at the systems level. This wealth of information from seemingly disparate datasets and its integration is being realized through bioinformatics. It is with this philosophy that the text Bioinformatics for Systems Biology was born. This revolution has spawned true personalized medicine that encompasses diagnostics and treatment through to cure.

For the physical and computer scientist, this text provides an introduction to the basic biological principles governing a cell. This quickly moves from the fundamentals to exploring the underlying genetic processes. While providing a rudimentary and necessary overview for the life scientist, the physical and computer scientist will be apprised of various nuances within the field reflecting the reality of "wet-bench" science. For those in the life sciences, it I rapidly becoming appreciated that we now progressing from examining our favorite "pet" gene to the system. Statistics is now an essential component to understand the vast datasets and this is emphasized throughout the text.

The majority of the text is devoted to the common ground that these groups share. It provides rich examples of tools, databases, and strategies to mine the databases to reveal novel insights. A host of examples of parsing the data into a series of overlays that use various presentation systems are reviewed. The goal is to provide a representation most comfortable to the user to enable the user to thoroughly explore the data. The text concludes with examples of how the systems information is used to inform personalized medicine in a true "bench to bedside" manner.

Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward in the mostly uncharted and emerging field of Systems Biology.

Dati bibliografici

Titolo: Bioinformatics for Systems Biology
Casa editrice: Springer-Verlag
Data di pubblicazione: 2009
Legatura: Rilegato
Condizione: Good
Edizione: seconda edizione