Genesis v1.7.6.30.09.10 Linux
Genesisv1.7.6.30.09.10Linux英文正式版(對多個試驗的基因數據進行比較的軟體)
破解說明:
checkcrack\install.txt
內容說明:
基因學方面的一款極具價值的工具包，主要特點如下：使用靈活，帶有多種分析工具，
視覺化的數據展示，附帶平台獨立的Java工具包，可以同時分析並展現一整套基因表
達試驗。通過讀取普通文件中的數據，可以生成圖形化的分析數據，從而能方便的對
多個試驗的基因數據進行比較。
英文說明:
Highthroughputgeneexpressionanalysisisbecomingmore
andmoreimportantinmanyareasofbiomedicalresearch.
cDNAmicroarraytechnologyisoneverypromisingapproach
forhighthroughputanalysisandgivestheopportunityto
studygeneexpressionpatternsonagenomicscale.
Thousandsoreventensofthousandsofgenescanbe
spottedonamicroscopeslideandrelativeexpression
levelsofeachgenecanbedeterminedbymeasuringthe
fluorescenceintensityoflabeledmRNAhybridizedtothe
arrays.Hence,microarrayscanbeusedtoidentify
differentiallyexpressedgenesintwosamplesonalarge
scale.Beyondsimplediscriminationofdifferentially
expressedgenes,functionalannotation
(guilt-by-association)ordiagnosticclassification
requirestheclusteringofgenesfrommultipleexperiments
intogroupswithsimilarexpressionpatterns.Several
clusteringtechniqueswererecentlydevelopedandapplied
toanalyzemicroarraydata.
WehavedevelopedaplatformindependentJavapackageof
toolstosimultaneouslyvisualizeandanalyzeawholeset
ofgeneexpressionexperiments.Afterreadingthedata
fromflatfilesseveralgraphicalrepresentationsof
hybridizationscanbegenerated,showingamatrixof
experimentsandgenes,wheremultipleexperimentsand
genescanbeeasilycomparedwitheachother.Fluorescence
ratioscanbenormalizedinseveralwaystogainabest
possiblerepresentationofthedataforfurther
statisticalanalysis.Wehaveimplementedhierarchicaland
nonhierarchicalalgorithmstoidentifysimilarexpressed
genesandexpressionpatterns,including:1)hierarchical
clustering,2)k-means,3)selforganizingmaps,4)
principalcomponentanalysis,and5)supportvector
machines.Morethan10differentkindsofsimilarity
distancemeasurementshavebeenimplemented,rangingfrom
simplePearsoncorrelationtomoresophisticated
approacheslikemutualinformation.Moreover,itis
possibletomapgeneexpressiondataontochromosomal
sequences.Theflexibility,varietyofanalysistoolsand
datavisualizations,aswellasthefreeavailabilityto
theresearchcommunitymakesthissoftwaresuitea
valuabletoolinfuturefunctionalgenomicstudies.
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