Sequencing

Results: 3844



#Item
61

Read Mapping Algorithms for Single Molecule Sequencing Data Vladimir Yanovsky1 , Stephen M. Rumble1 and Michael Brudno1,2 1 2

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Source URL: www.scs.stanford.edu

Language: English - Date: 2008-12-22 00:22:53
    62

    Analysing High Throughput Sequencing Data with SeqMonk Version

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    Source URL: www.bioinformatics.babraham.ac.uk

    Language: English - Date: 2017-03-09 09:11:10
      63

      Microsoft PowerPoint - Marshall K5QE Sequencing Presentation v2.ppt [Compatibility Mode]

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      Source URL: www.pnwvhfs.org

      - Date: 2016-11-05 00:27:00
        64

        OpenMP Task Parallelism for Faster Genomic Data Processing Nathan T. Weeks Introduction: The Genomics Big Data Problem Genomic sequencing is being leveraged for a wide range of applications such as helping plant breeders

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        Source URL: www.openmp.org

        - Date: 2018-03-28 20:57:12
          65

          Consistency Models with Global Operation Sequencing and their Composition Alexey Gotsman∗1 and Sebastian Burckhardt2 1 2

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          Source URL: software.imdea.org

          - Date: 2017-10-15 09:05:33
            66

            Review doi:nature24286 DNA sequencing at 40: past, present and future

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            Source URL: arep.med.harvard.edu

            - Date: 2017-10-30 16:54:18
              67

              R.W. Hartenstein, A.G. Hirschbiel, M. Riedmuller, K. Schmidt, M.Weber: A High Performance Machine Paradigm Based on Auto-Sequencing Data Memory; HICSS-24, Hawaii Int. Conference on System Sciences, Koloa Hawaii, 1991 A

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              Source URL: www.fpl.uni-kl.de

              - Date: 2012-03-17 07:18:56
                68

                R.W. Hartenstein, A.G. Hirschbiel, M. Riedmuller, K. Schmidt, M.Weber: A High Performance Machine Paradigm Based on Auto-Sequencing Data Memory; HICSS-24, Hawaii Int. Conference on System Sciences, Koloa Hawaii, 1991 A

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                Source URL: www.fpl.uni-kl.de

                - Date: 2016-05-16 11:51:51
                  69

                  Learning Complex Motions by Sequencing Simpler Motion Templates Keywords: reinforcement learning, motion templates, temporal abstraction, fitted Q-iteration Gerhard Neumann

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                  Source URL: www.ias.tu-darmstadt.de

                  - Date: 2012-02-21 11:46:27
                    70

                    After enrichment, but prior to pooling, quantifying, and sequencing target-enriched libraries, you may wish to validate that your libraries actually contain enriched product relative to the unenriched library or library

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                    Source URL: s3.ultraconserved.org

                    - Date: 2013-06-19 00:39:55
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