Bioinformatics for Systems Biology

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 Biologydevelopsweareabletow

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Bioinformatics for Systems Biology Stephen Krawetz

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