ebook img

Cancer Bioinformatics PDF

279 Pages·2018·9.691 MB·English
by  coll.
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Cancer Bioinformatics

Methods in Molecular Biology 1878 Alexander Krasnitz Editor Cancer Bioinformatics M M B ETHODS IN OLECULAR IO LO GY SeriesEditor JohnM.Walker School of Lifeand MedicalSciences University ofHertfordshire Hatfield, Hertfordshire,AL109AB,UK Forfurther volumes: http://www.springer.com/series/7651 Cancer Bioinformatics Edited by Alexander Krasnitz Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA Editor AlexanderKrasnitz SimonsCenterforQuantitativeBiology ColdSpringHarborLaboratory ColdSpringHarbor,NY,USA ISSN1064-3745 ISSN1940-6029 (electronic) MethodsinMolecularBiology ISBN978-1-4939-8866-2 ISBN978-1-4939-8868-6 (eBook) https://doi.org/10.1007/978-1-4939-8868-6 LibraryofCongressControlNumber:2018957832 ©SpringerScience+BusinessMedia,LLC,partofSpringerNature2019 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation,broadcasting,reproduction onmicrofilmsorinanyotherphysicalway,andtransmissionorinformationstorageandretrieval,electronicadaptation, computersoftware,orbysimilarordissimilarmethodologynowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublicationdoesnotimply, evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevantprotectivelawsandregulations andthereforefreeforgeneraluse. Thepublisher,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthisbookarebelievedto betrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditorsgiveawarranty, expressorimplied,withrespecttothematerialcontainedhereinorforanyerrorsoromissionsthatmayhavebeenmade. Thepublisherremainsneutralwithregardtojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. This Humana Press imprint is published by the registered company Springer Science+Business Media, LLC part of SpringerNature. Theregisteredcompanyaddressis:233SpringStreet,NewYork,NY10013,U.S.A. Preface Moderncancerresearch,bothbasicandtranslational,routinelygeneratesmassiveamounts ofdigitaldataandincreasinglyreliesoncomputingfortheirinterpretation.Thesedatacome from a variety of sources, among them next-generation sequencing of tumor DNA and RNA, epigenomics, imaging, and pathological evaluation. It is expected that in the near future data-driven methods will become an integral part of clinical practice in oncology, leading to earlier detection, more accurate diagnosis, and better-informed management of thedisease. With this development in mind, the present volume covers a wide variety of cancer- relatedmethodsandtoolsfordataanalysisandinterpretation,reflectingthestateoftheart in cancer informatics. The volume is designed to attract broad readership, ranging from active researchers in computational biology and bioinformatics developers, to research and clinical oncologists who require bioinformatics support, to anticancer drug developers wishingtorationalizetheirsearchfor newcompounds. ColdSpringHarbor,NY,USA AlexanderKrasnitz v Contents Preface ..................................................................... v Contributors................................................................. ix 1 APrimer forAccesstoRepositoriesofCancer-Related GenomicBigData ...................................................... 1 JohnTorcivia-Rodriguez,HayleyDingerdissen,Ting-ChiaChang, andRajaMazumder 2 BuildingPortableandReproducibleCancerInformaticsWorkflows: AnRNASequencingCaseStudy.......................................... 39 GauravKaushikandBrandiDavis-Dusenbery 3 ComputationalAnalysisofStructuralVariationinCancerGenomes........... 65 MatthewHayes 4 CORE:ASoftwareToolforDelineatingRegionsofRecurrent DNACopyNumberAlterationinCancer.................................. 85 GuoliSunandAlexanderKrasnitz 5 IdentificationofMutatedCancerDriverGenesinUnpaired RNA-SeqSamples....................................................... 95 DavidMosen-Ansorena 6 AComputationalProtocolforDetectingSomaticMutations byIntegratingDNAandRNASequencing................................. 109 MatthewD.Wilkerson 7 Allele-SpecificExpressionAnalysisinCancerUsingNext-Generation SequencingData........................................................ 125 AlessandroRomanel 8 ComputationalAnalysisoflncRNAFunctioninCancer...................... 139 XuZhangandTsui-TingHo 9 ComputationalMethodsforIdentificationofTCellNeoepitopes inTumors.............................................................. 157 VanessaIsabellJurtzandLarsRønnOlsen 10 ComputationalandStatisticalAnalysisofArray-BasedDNA MethylationData....................................................... 173 JessicaNordlund,ChristoferBa€cklin,andAmandaRaine 11 ComputationalMethodsforSubtypingofTumorsandTheir ApplicationsforDecipheringTumorHeterogeneity......................... 193 ShihuaZhang 12 StatisticallySupportedIdentificationofTumorSubtypes .................... 209 GuoliSunandAlexanderKrasnitz vii viii Contents 13 ComputationalMethodsforAnalysisofTumorClonality andEvolutionaryHistory................................................ 217 GeraldGoh,NicholasMcGranahan,andGarethA.Wilson 14 PredictiveModelingofAnti-CancerDrugSensitivityfromGenetic Characterizations ....................................................... 227 RaziurRahmanandRanadipPal 15 InSilicoOncologyDrugRepositioningandPolypharmacology .............. 243 FeixiongCheng 16 ModelingGrowthofTumorsandTheirSpreadingBehavior UsingMathematicalFunctions ........................................... 263 BertinHoffmann,ThorstenFrenzel,Ru¨digerSchmitz, UdoSchumacher,andGeroWedemann Index ...................................................................... 279 Contributors CHRISTOFERB€aCKLIN (cid:1) DepartmentofMedicalSciences,UppsalaUniversity,Uppsala, Sweden TING-CHIACHANG (cid:1) DepartmentofBiochemistryandMolecularMedicine,George WashingtonUniversity,Washington,DC,USA FEIXIONGCHENG (cid:1) Center forComplexNetworksResearch,NortheasternUniversity,Boston, MA,USA BRANDIDAVIS-DUSENBERY (cid:1) SevenBridgesGenomics,Cambridge,MA,USA HAYLEYDINGERDISSEN (cid:1) DepartmentofBiochemistryandMolecularMedicine,George WashingtonUniversity,Washington,DC,USA THORSTENFRENZEL (cid:1) InstituteforAnatomyandExperimentalMorphology,University CancerCenterHamburg-Eppendorf,Hamburg,Germany GERALD GOH (cid:1) CancerResearchUKLungCancerCentreofExcellence,UniversityCollege LondonCancerInstitute,London,UK;GenomeInstituteofSingapore,Singapore, Singapore MATTHEWHAYES (cid:1) ComputerScience,XavierUniversityofLouisiana,NewOrleans,LA, USA TSUI-TINGHO (cid:1) CancerInstitute,DepartmentofRadiationOncology,Universityof MississippiMedicalCenter,Jackson,MS,USA BERTINHOFFMANN (cid:1) CompetenceCenterBioinformatics,InstituteforAppliedComputer Science,UniversityofAppliedSciencesStralsund,Stralsund,Germany VANESSAISABELLJURTZ (cid:1) DepartmentofBioandHealthInformatics,TechnicalUniversity ofDenmark,Lyngby,Denmark GAURAVKAUSHIK (cid:1) FoundationMedicine,Cambridge,MA,USA ALEXANDERKRASNITZ (cid:1) SimonsCenter forQuantitativeBiology,ColdSpringHarbor Laboratory,ColdSpringHarbor,NY,USA RAJAMAZUMDER (cid:1) DepartmentofBiochemistryandMolecularMedicine,GeorgeWashington University,Washington,DC,USA NICHOLASMCGRANAHAN (cid:1) CancerResearchUKLungCancerCentreofExcellence, UniversityCollegeLondonCancerInstitute,London,UK DAVIDMOSEN-ANSORENA (cid:1) DepartmentofBiostatistics,HarvardT.H.ChanSchoolofPublic Health,Boston,MA,USA;DepartmentofBiostatisticsandComputationalBiology,Dana- FarberCancerInstitute,Boston,MA,USA JESSICANORDLUND (cid:1) DepartmentofMedicalSciencesandScienceforLifeLaboratory, UppsalaUniversity,Uppsala,Sweden LARSRØNNOLSEN (cid:1) DepartmentofBioandHealthInformatics,TechnicalUniversity ofDenmark,Lyngby,Denmark RANADIPPAL (cid:1) ElectricalandComputerEngineering,TexasTechUniversity,Lubbock,TX, USA RAZIURRAHMAN (cid:1) ElectricalandComputerEngineering,TexasTechUniversity,Lubbock, TX,USA AMANDARAINE (cid:1) DepartmentofMedicalSciencesandScienceforLifeLaboratory,Uppsala University,Uppsala,Sweden ix x Contributors ALESSANDROROMANEL (cid:1) CentreforIntegrativeBiology(CIBIO),UniversityofTrento, Trento,Italy RU¨DIGERSCHMITZ (cid:1) InstituteforAnatomyandExperimentalMorphology,UniversityCancer CenterHamburg-Eppendorf,Hamburg,Germany UDOSCHUMACHER (cid:1) InstituteforAnatomyandExperimentalMorphology,University CancerCenterHamburg-Eppendorf,Hamburg,Germany GUOLISUN (cid:1) IntuitInc.,MountainView,CA,USA JOHNTORCIVIA-RODRIGUEZ (cid:1) DepartmentofBiochemistryandMolecularMedicine,George WashingtonUniversity,Washington,DC,USA GEROWEDEMANN (cid:1) CompetenceCenterBioinformatics, InstituteforAppliedComputer Science,UniversityofAppliedSciencesStralsund,Stralsund,Germany MATTHEWD.WILKERSON (cid:1) TheAmericanGenomeCenter,CollaborationHealthInitiative ResearchProgram,DepartmentofAnatomy,PhysiologyandGenetics,UniformedServices University,Bethesda,MD,USA GARETHA.WILSON (cid:1) CancerResearchUKLungCancerCentreofExcellence,University CollegeLondonCancerInstitute,London,UK;TranslationalCancerTherapeutics Laboratory,TheFrancisCrickInstitute,London,UK SHIHUAZHANG (cid:1) NationalCenterforMathematicsandInterdisciplinarySciences,Academy ofMathematicsandSystemsScience,ChineseAcademyofSciences,Beijing,China XUZHANG (cid:1) CenterofClinicalandTranslationalSciencesandDepartmentofInternal Medicine,TheUniversityofTexasHealthScienceCenteratHouston,Houston,TX,USA Chapter 1 A Primer for Access to Repositories of Cancer-Related Genomic Big Data John Torcivia-Rodriguez, Hayley Dingerdissen, Ting-Chia Chang, and Raja Mazumder Abstract Theuseoflargedatasetshasbecomeubiquitousinbiomedicalsciences.Researchersinthefieldofcancer genomicshave,inrecentyears,generatedlargevolumesofdatafromtheirexperiments.Thoseresponsible forproductionofthisdataoftenanalyzeanarrowsubsetofthisdatabasedontheresearchquestiontheyare trying toaddress: this is thecase whether or not they areacting independentlyor in conjunction with a large-scalecancergenomicsproject.Therealityofthissituationcreatestheopportunityforotherresearch- erstorepurposethisdatafordifferenthypothesesifthedataismadeeasilyandfreelyavailable.Newinsights in biology resulting from more researchers having access to data they otherwise would be unable to generate on their own are a boon for the field. The following chapter reviews several cancer genomics- relateddatabasesandoutlinesthetypeofdatatheycontain,aswellasthemethodsrequiredtoaccesseach database. While this list is not comprehensive, it should provide a basis for cancer researchers to begin exploringsomeofthemanylargedatasetsthatareavailabletothem. Keywords Cancerresources,Genomicsdatabases,Cancerontology,Cancergenomics 1 Introduction Everydayarapidlyincreasingamountofbiologicalandbiomedical dataisgeneratedduetohigh-throughputsequencing(HTS)meth- ods being used to explore genomics and proteomics hypotheses. Thesemethodologiesallowforthecaptureoflargeamountsofdata relevant to a target or set of targets of interest for the researcher thentofurtheranalyze.Thisdataandtherelatedanalysisareusually thendepositedinadatabaseand/orpublishedinajournal.Because ofthescaleandexpanseofthedatagenerated,thedatacanoftenbe usedtoanswerquestionsfarbeyondtheoriginalresearchhypothe- sismakinggeneralavailabilityofthisdataimportantfortheresearch community.Severalconsortiumshavebeendevelopedtomoderate access to such data due to potential privacy issues, allowing either generalaccesstotheentiredatasetiftheseissuesarenotrelevantor AlexanderKrasnitz(ed.),CancerBioinformatics,MethodsinMolecularBiology,vol.1878, https://doi.org/10.1007/978-1-4939-8868-6_1,©SpringerScience+BusinessMedia,LLC,partofSpringerNature2019 1

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.