MGIEasy Fast FS DNA Library Prep Set V2.0

MGIEasy Fast FS DNA Library Prep Set V2.0

Catalog Number:
NLPK456895MGI
Mfr. No.:
940-001193-00/940-001194-00
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      • Overview
        • The MGIEasy Fast FS DNA Library Prep Set V2.0 is designed to convert genomic DNA (gDNA) into a special library for DNBSEQTM sequencers and uses high quality fast fragmentase to combine the fragmentation, end-repair and add A into one step, to simplify the preparation process and significantly shorten the duration of DNA library preparation, reducing the library prep time in 2 hours.

          This library prep set provides flexible workflow to be compatible with 1ng~1μg DNA input, supporting variety sample types, including blood, saliva, oral swabs, FFPE and precious samples with low starting amount, suitable for microbial sequencing, metagenomics sequencing, WGS and WES.

          Features
          • Fast library prep workflow
          Combine the DNA fragmentation, end repair and add A into one step, significantly reducing the library prep time in 2 hours.
          • Flexible workflow to accommodate variations in sample type, DNA input amount, application
          Compatible with 1ng~1μg DNA input, supporting variety sample types, including blood, saliva, oral swabs, FFPE and precious samples with low starting amount, suitable for microbial sequencing, metagenomics sequencing, WGS and WES.
          • High uniform and consistent insert sizes across a wide DNA input range and sample types
          Use high-quality, low bias enzyme for different species and input amounts shearing with the same incubation condition, resulting in the high uniform and consistent insert sizes.
          • Efficient automatable workflow
          Compatible with automatic sample preparation systems MGISP-100 and MGISP-960 to provide automated workflows.

          Please contact us at for specific academic pricing.

      • Properties
        • * For research use only.

      • Applications
        • Application
          Human WGS, Plants & Animals WGS, Microbial WGS, Metagenomics sequencing, WES.

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