• 02:24 1.
    Other Sequencing Technology
  • 03:31 2.
    BioNano Genomics (Irys System)
  • 02:33 3.
    Overview of RNA-seq Library Construction
  • 03:34 4.
    RNA Sample Preparation
  • 02:19 5.
    RNA Quality Assessment: Agilent 2100 BioAnalyzer (RIN)RNA Quantification:The UV-absorbance method uses a spectrophotometer to measure the natural absorbance of light at 260 nm (for DNA and RNA) or 280 nm (for proteins)(A260 - A320) x RNA extinction coeffi
  • 01:29 6.
    Input : 10 pg – 10 ng total RNA (RIN>8)
  • 02:08 7.
    QC / Demultiplexing
  • 03:16 8.
    Coverage
  • 03:37 9.
    NGS Experimental Considerations
  • 01:39 10.
    Phred - Quality Base Calling
  • 02:06 11.
    Phred Qualities
  • 04:21 12.
    N50 / L50
  • 03:04 13.
    Quality Control
  • 02:31 14.
    Quality Control – FastQC Tool for Quality Visualization
  • 01:30 15.
    Quality Control – FastQC Tool for Quality Visualization
  • 00:20 16.
    Quality Control – FastQC Tool for Quality Visualization
  • 00:26 17.
    Quality Control – FastQC Tool for Quality Visualization
  • 00:37 18.
    Quality Control – FastQC Tool for Quality Visualization
  • 01:02 19.
    PCR Duplicate
  • 00:55 20.
    Adapter Removal
  • 01:02 21.
    Example
  • 01:32 22.
    QC / Demultiplexing
  • 01:13 23.
    Differences Between RNA-Seq and DNA-Seq
  • 00:55 24.
    Alignment
  • 00:18 25.
    The Seed-Filter-Extend Approach
  • 02:26 26.
    Hash-Based Alignment Methods
  • 05:22 27.
    Burrows–Wheeler Transform
  • 02:16 28.
    Assembly
  • 02:06 29.
    Problems in DNA Sequencing
  • 00:43 30.
    Assemble algorithms
  • 01:58 31.
    de Bruijn Graph Approach
  • 00:35 32.
    de Bruijn Graph Approach
  • 01:05 33.
    QC / Demultiplexing
  • 02:33 34.
    RNA-Seq Data Normalization Methods
  • 00:14 35.
    RPKM
  • 00:15 36.
    Question
  • 06:26 37.
    Drawbacks of R/FPKM
  • 01:18 38.
    Evaluation of Normalization Methods
  • 00:30 39.
    Workflow for Analysis of RNA-Seq Data
  • 01:24 40.
    Tuxedo Pipeline
  • 00:37 41.
    Strategies for Reconstructing Transcripts from RNA-Seq Reads
  • 00:56 42.
    Differential Analysis
  • 02:02 43.
    Improving the Human Reference Genome
  • 01:44 44.
    Single Cell Database
  • 01:41 45.
    Single Sample GSEA (ssGSEA)
  • 03:37 46.
    GSVA Algorithm
  • 05:33 47.
    GSVA Algorithm
  • 00:04 48.
    Tools for NGS Data Analysis
  • 00:04 49.
    ONLINE ANALYSIS TOOLShttp://molbiol-tools.ca/
  • 00:13 50.
    Online Bioinformatics Resources Collection (OBRC)
  • 00:15 51.
    Tools for Visualizing Short Read Data
  • 00:24 52.
    Summary
  • 01:18 53.
    Microarrays vs RNA-seq
  • 00:47 54.
    Application of Sequence Census Assays
  • Index
  • Notes
  • Comment
  • Fullscreen
Comparative Gene-Expression Analysis III Sequence-based techniques (0420)
Duration: 1:37:12, Browse: 301, Last Updated: 2021-04-21
    • 02:24 1.
      Other Sequencing Technology
    • 03:31 2.
      BioNano Genomics (Irys System)
    • 02:33 3.
      Overview of RNA-seq Library Construction
    • 03:34 4.
      RNA Sample Preparation
    • 02:19 5.
      RNA Quality Assessment: Agilent 2100 BioAnalyzer (RIN)RNA Quantification:The UV-absorbance method uses a spectrophotometer to measure the natural absorbance of light at 260 nm (for DNA and RNA) or 280 nm (for proteins)(A260 - A320) x RNA extinction coeffi
    • 01:29 6.
      Input : 10 pg – 10 ng total RNA (RIN>8)
    • 02:08 7.
      QC / Demultiplexing
    • 03:16 8.
      Coverage
    • 03:37 9.
      NGS Experimental Considerations
    • 01:39 10.
      Phred - Quality Base Calling
    • 02:06 11.
      Phred Qualities
    • 04:21 12.
      N50 / L50
    • 03:04 13.
      Quality Control
    • 02:31 14.
      Quality Control – FastQC Tool for Quality Visualization
    • 01:30 15.
      Quality Control – FastQC Tool for Quality Visualization
    • 00:20 16.
      Quality Control – FastQC Tool for Quality Visualization
    • 00:26 17.
      Quality Control – FastQC Tool for Quality Visualization
    • 00:37 18.
      Quality Control – FastQC Tool for Quality Visualization
    • 01:02 19.
      PCR Duplicate
    • 00:55 20.
      Adapter Removal
    • 01:02 21.
      Example
    • 01:32 22.
      QC / Demultiplexing
    • 01:13 23.
      Differences Between RNA-Seq and DNA-Seq
    • 00:55 24.
      Alignment
    • 00:18 25.
      The Seed-Filter-Extend Approach
    • 02:26 26.
      Hash-Based Alignment Methods
    • 05:22 27.
      Burrows–Wheeler Transform
    • 02:16 28.
      Assembly
    • 02:06 29.
      Problems in DNA Sequencing
    • 00:43 30.
      Assemble algorithms
    • 01:58 31.
      de Bruijn Graph Approach
    • 00:35 32.
      de Bruijn Graph Approach
    • 01:05 33.
      QC / Demultiplexing
    • 02:33 34.
      RNA-Seq Data Normalization Methods
    • 00:14 35.
      RPKM
    • 00:15 36.
      Question
    • 06:26 37.
      Drawbacks of R/FPKM
    • 01:18 38.
      Evaluation of Normalization Methods
    • 00:30 39.
      Workflow for Analysis of RNA-Seq Data
    • 01:24 40.
      Tuxedo Pipeline
    • 00:37 41.
      Strategies for Reconstructing Transcripts from RNA-Seq Reads
    • 00:56 42.
      Differential Analysis
    • 02:02 43.
      Improving the Human Reference Genome
    • 01:44 44.
      Single Cell Database
    • 01:41 45.
      Single Sample GSEA (ssGSEA)
    • 03:37 46.
      GSVA Algorithm
    • 05:33 47.
      GSVA Algorithm
    • 00:04 48.
      Tools for NGS Data Analysis
    • 00:04 49.
      ONLINE ANALYSIS TOOLShttp://molbiol-tools.ca/
    • 00:13 50.
      Online Bioinformatics Resources Collection (OBRC)
    • 00:15 51.
      Tools for Visualizing Short Read Data
    • 00:24 52.
      Summary
    • 01:18 53.
      Microarrays vs RNA-seq
    • 00:47 54.
      Application of Sequence Census Assays
    Location
    Folder name
    2021
    Author
    賴亮全
    Branch
    賴亮全教授
    Created
    2021-04-20 16:17:17
    Last Updated
    2021-04-21 10:47:48
    Browse
    301
    Duration
    1:37:12