ComputationalApproachesinComparativeGenomics

by

EugeneV.Koonin

NationalCenterforBiotechnologyInformation,Bethesda,MD,USA

MichaelY.Galperin

NationalCenterforBiotechnologyInformation,Bethesda,MD,USA

Sequence-Evolution-FunctionisanintroductiontothecomputationalapproachesthatplayacriticalroleintheemergingnewbranchofBIOLOGyknownasfunctionalgenomics.Thebookprovidesthereaderwithanunderstandingoftheprinciplesandapproachesoffunctionalgenomicsandofthepotentialandlimitationsofcomputationalandexperimentalapproachestogenomeanalysis.

Keytopicscoveredinthistextbookare:

·thecompletedandongoinggenomesequencingprojects,

·databasesthatstoreandorganizegenomicdata,withtheiruniqueadvantagesandpitfalls,

·principlesandmethodsofgenomeanalysisandannotation,

·waystoautomatethesearchesandincreasesearchsensitivitywhileminimizingtheerrorrate,

·thefirstlessonsfromtheHumanGenomeProject,

·thecontributionofcomparativegenomicstotheunderstandingofhereditarydiseasesandcancer,

·fundamentalandpracticalapplicationsofcomparativegenomics,

·theuseofcompletegenomesforevolutionaryanalysis,

·theapplicationofcomparativegenomicsforidentificationofpotentialdrugtargetsinmicrobialgenomes,

·ProblemsforFurtherStudy,whicharedesignedtobesolvedbyusingmethodsavailablethroughtheWWW.

Sequence-Evolution-Functionshouldhelpbridgethe\"digitaldivide\"betweenbiologistsandcomputerscientists,allowingbiologiststobettergraspthepeculiaritiesoftheemergingfieldofGenomeBiologyandtolearnhowtobenefitfromtheenormousamountofsequencedataavailableinthepublicdatabases.Thebookisnon-technicalwithrespecttothecomputermethodsforgenomeanalysisanddiscussesthesemethodsfromtheuser\'sviewpoint,withoutaddressingmathematicalandalgorithmicdetails.Priorpracticalfamiliaritywiththebasicmethodsforsequenceanalysisisamajoradvantage,butareaderwithoutsuchexperiencewillbeabletousethebookasanintroductiontothesemethods.Thisbookisperfectforintroductorylevelcoursesincomputationalmethodsforcomparativeandfunctionalgenomics.

http://www.ncbi.nlm.nih.gov/books/

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