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蚂蚁淘在线 / 品牌中心 / Kapa biosystems / Kapa biosystems/KAPA HyperPlus Kits/KK8513/24 reactions

Kapa biosystems/KAPA HyperPlus Kits/KK8513/24 reactions

价格
￥16800.00
货号：KK8513
浏览量：127
品牌：Kapa biosystems
服务
全国联保
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商品描述

Description:

PCR-Free

KAPAHyperPlusKits

NGSlibrarypreparation. Evolved.

TheKAPAHyperPluskitprovidesastreamlinedworkflowthatincludesfragmentationandlibrarypreparationinasingletube.Buildingonindustry-leADInglibraryconstructionefficiencies,thisintegratedsolutioncombinesenzymaticfragmentation,similarinqualitytomechanicalshearing,withthespeedandconvenienceoftagmentation-basedworkflows.Benefitsinclude:

  • DNAfragmentationandlibraryprepin2.5hours*
  • FlexIBLeDNAsampleinputfrom1ng–1µg*
  • Reducedbiasandmaximizesequencecoverage*
  • PCR-freeworkflows

NEW!KAPADual-IndexedAdapterKitsarenowavailable.FormoreinformationonKAPAAdapterKits,scrolldowntotheOrderingsection,ordownloadtheKAPAAdapterandBeadCalculator.

Downloadour AdapterandBeadCalculator

 

*Dataonfile.
ForResearchUseOnly.Notforuseindiagnosticprocedures.

Workflow

KAPAHyperPlusWorkflow

ProductHighlights

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Tunableandreproduciblefragmentation

  • Adjustlibraryinsertsizesfrom150–800bpbyvaryingfragmentationtime
  • ReproducibleinsertsizesacrossarangeofGCcontentandDNAinputamounts

Industryleadinglibraryyields…

  • Routinelyachieveconversionrates>80%from≥100nginput*
  • SuperiorperformanceacrossarangeofDNAinputamounts*
  • HighlibraryyieldsenablePCR-freeworkflowsfromaslittleas50ngstartingmaterial*
Single nucleotide polymorphism (SNP) detection sensitivity indicates better sequencing quality. Libraries were prepared for capture using the Nimblegen SeqCap EZ HGSC VCRome panel, 50 ng input, standard capture protocol. SNPs were called using LoFreq with default settings and a minimum per-base depth of coverage cut-off of 10. Sensitivity (true positive rate) was calculated as the ratio of true positives divided by the sum of true positives and false negatives. Total SNPs analysed was greater than 25,000. Data on file.
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…Enablesuperiorsequencingresults

  • Higherconversionratesresultsinfeweramplificationcyclesandlowerduplicationrates
  • Detectlow-frequencymutationswithhighconfidenceduetogreaterlibrarydiversityandmoreuniformsequencecoverage
GC bias comparison. GC bias for C. difficile, E. coli, B. pertussis was assessed by calculating the GC content of the reference in 100 bp bins and plotting normalized coverage across these bins for Covaris and Hyper Prep, HyperPlus, NEBNext ® Ultra ™ and Nextera ™ workflows, using Picard CollectGCBiasMetrics. Libraries were prepared from 1 ng of input DNA. In the absence of sequencing bias, all bins would be equally represented, indicated by a horizontal distribution centered on a normalized coverage of 1.0. Distribution of GC content in the genome is indicated by the grey histograms. Data on file.
GC bias comparison. GC bias for C. difficile, E. coli, B. pertussis was assessed by calculating the GC content of the reference in 100 bp bins and plotting normalized coverage across these bins for Covaris and Hyper Prep, HyperPlus, NEBNext ® Ultra ™ and Nextera ™ workflows, using Picard CollectGCBiasMetrics. Libraries were prepared from 1 ng of input DNA. In the absence of sequencing bias, all bins would be equally represented, indicated by a horizontal distribution centered on a normalized coverage of 1.0. Distribution of GC content in the genome is indicated by the grey histograms. Data on file.
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Minimalsequencecoveragebias

  • Lowersequencebiaswhencomparedtotagmentationandotherenzymaticfragmentationmethods*
  • Equivalentperformancetomechanicalshearing*
  • Lessbiasleadstomoreuniformsequencingcoverageandreducedsequencingcosts*

 

*Dataonfile.

RelatedProducts

Areyousequencinglow-input,FFPEorhighqualityDNA? RNA? CheckouttheseKapaNGSproductstoimproveyourworkflowandresults:

Sample QC

KAPAhgDNAQuantificationandQCKit

Library Amplification

KAPALibraryAmplificationKits

Library Quantification

KAPALibraryQuantificationKits

KAPA Stranded mRNA-Seq Kits

KAPAStrandedmRNA-SeqKits

Applications:

Applications
  • WholeGenomeSequencing
  • WholeExomeSequencing
  • TargetedSequencing(custompanels)
  • FFPESampleSequencing

KitSpecificationsandContents/Storage:

KitSpecificationsandContents/Storage

Kitscanbestoredforupto6monthsat-20ºC.

KitscontainKAPAFragEnzyme,KAPAFragBuffer(10X),KAPAFragConditioningSolution,KAPAEndRepair&A-TailingBuffer, KAPAEndRepair&A-TailingEnzyme, KAPALigationBuffer, KAPADNALigase, KAPAHiFiHotStartReadyMixand KAPALibraryAmplificationPrimerMix.

 

 

Specifications

Spec
Description
CompatiblePlatform
lluminaHiSeq®,MiSeq®,NextSeq®
LibraryType
DNA
StartingMaterial
genomicDNA,FFPEDNA,PCRamplicons
InputAmount
1ng–1µg
Kapa biosystems表观遗传分析基于阵列的方法和基于下一代测序（NGS）的方法都用于研究表观遗传修饰。有三种基于NGS的常见方法可用于表观遗传分析：甲基序列，ChIP序列和ATAC序列。Methyl-seq   用单核苷酸分辨率研究基因组的甲基化状态。该方法采用亚硫酸氢盐处理，可将胞嘧啶残基转化为尿嘧啶，而甲基化残基则保持不变。已经开发了几种甲基序列策略，包括全基因组亚硫酸氢盐测序（WGBS）和简化表示的亚硫酸氢盐测序（RRBS），这丰富了CpG岛。ChIP-seq将染色质免疫沉淀（ChIP）与NGS结合使用，以鉴定整个基因组中与DNA相关的蛋白质的结合位点，通常用于绘制组蛋白修饰和转录因子。该方法依靠靶向抗体的选择来富集与特定蛋白质结合的目标DNA片段。ATAC-seq是用于转座酶可及的染色质测序的一种测定方法，可确定染色质可及性的区域并绘制DNA结合蛋白的图谱，以鉴定活性启动子，增强子和其他顺式调控元件。该方法通过生成具有50,000个细胞的测序文库，已经改变了基因调控的分析方法。由于表观遗传学分析通常涉及超低输入DNA，因此从有限的材料构建高质量文库至关重要。罗氏测序解决方案提供了许多用于表观遗传工作流程的目标富集，文库制备和优化文库质量的解决方案。SeqCap®Epi靶标富集试剂盒可通过单碱基分辨率富集用于DNA甲基化评估的靶标。的  KAPA HyperPrep套件  理想地适合于这两个芯片起和甲基SEQ应用，因为它使接头连接的文库和扩增低偏压的更高的产率。这意味着更高的文库多样性，更低的重复率和更统一的覆盖率，尤其是对于低输入样本而言。对于甲基序列研究，  KAPA HiFi Uracil + 由于对尿嘧啶残基具有耐受性，HotStart DNA聚合酶对于亚硫酸氢盐转化的文库的扩增至关重要。KAPA HiFi HotStart ReadyMix可用于扩增ATAC-seq和ChIP-seq库，从而改善序列覆盖范围并减少偏差。