Metabolomic Data Analysis Using MetaboAnalyst

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  • เผยแพร่เมื่อ 2 ส.ค. 2024
  • This is the fifth module in the 2016 Informatics and Statistics for Metabolomics workshop hosted by the Canadian Bioinformatics Workshops. This lecture is by David Wishart from the University of Alberta (tmicwishartnode.ca/).
    How it Begins by Kevin MacLeod is licensed under a Creative Commons Attribution license (creativecommons.org/licenses/...)
    Source: incompetech.com/music/royalty-...
    Artist: incompetech.com/
    Table of Contents:
    00:10 -
    00:56 - Learning Objectives
    01:15 - A Typical Metabolomics Experiment
    03:16 - 2 Routes to Metabolomics
    03:31 - Metabolomics Data Workflow
    05:11 - Data Integrity/Quality
    06:46 - Data/Spectral Alignment
    07:28 - Binning (3000 pts to 14 bins)
    07:53 - Data Normalization/Scaling
    09:40 - Data Normalization/Scaling
    10:20 - Data QC, Outlier Removal & Data Reduction
    12:08 - MetaboAnalyst
    13:25 - MetaboAnalyst History
    14:37 - MetaboAnalyst Overview
    16:00 - MetaboAnalyst Modules
    17:00 - MetaboAnalyst Modules
    18:03 - Example Datasets
    19:09 - Example Datasets
    19:34 - Metabolomic Data Processing
    19:44 - Example Datasets
    19:45 - Example Datasets
    19:45 - MetaboAnalyst Modules
    19:48 - Example Datasets
    19:48 - Example Datasets
    19:49 - Metabolomic Data Processing
    19:51 - Common Tasks
    20:38 - Select a Module (Statistical Analysis)
    20:48 - Common Tasks
    20:49 - Metabolomic Data Processing
    20:49 - Example Datasets
    20:49 - Example Datasets
    20:55 - Example Datasets
    20:55 - Metabolomic Data Processing
    20:56 - Common Tasks
    20:56 - Select a Module (Statistical Analysis)
    21:07 - Data Upload
    21:37 - Alternatively …
    22:18 - Data Set Selected
    23:24 - Data Integrity Check
    24:11 - Data Normalization
    25:51 - Data Normalization
    26:28 - Data Normalization
    27:40 - Normalization Result
    29:49 - Data Normalization
    29:59 - Normalization Result
    30:03 - Data Normalization
    30:14 - Normalization Result
    30:15 - Data Normalization
    30:15 - Data Normalization
    30:16 - Data Normalization
    30:21 - Data Normalization
    30:21 - Data Normalization
    30:36 - Normalization Result
    31:24 - Data Normalization
    31:26 - Next Steps
    31:37 - Quality Control
    32:41 - Visual Inspection
    33:36 - Outlier Removal (Data Editor)
    34:01 - Noise Reduction (Data Filtering)
    35:09 - Noise Reduction (cont.)
    35:36 - Data Reduction and Statistical Analysis
    36:07 - Common Tasks
    36:30 -
    37:00 - ANOVA
    37:31 - ANOVA
    38:58 - View Individual Compounds
    39:46 - What’s Next?
    40:06 - Overall Correlation Pattern
    41:20 - High Resolution Image
    41:53 - What’s Next?
    42:40 - Pattern Matching
    43:29 - Pattern Matching (cont.)
    44:57 -
    45:16 - Pattern Matching (cont.)
    45:17 - Pattern Matching
    45:32 - Pattern Matching (cont.)
    45:34 -
    45:55 - Multivariate Analysis
    46:58 - PCA Scores Plot
    47:40 - PCA Loading Plot
    47:58 - PCA Scores Plot
    48:15 - PCA Loading Plot
    49:14 - 3D Score Plot
    50:28 -
    51:06 - 3D Score Plot
    51:07 - PCA Loading Plot
    51:08 - PCA Scores Plot
    51:46 - PCA Loading Plot
    51:47 - 3D Score Plot
    51:49 -
    52:30 - Multivariate Analysis
    52:54 - PLS-DA Score Plot
    53:23 - Evaluation of PLS-DA Model
    55:19 - Important Compounds
    57:07 - Model Validation
    58:07 -
    58:16 - Hierarchical Clustering (Heat Maps)
    58:34 - Heatmap Visualization
    58:48 - Heatmap Visualization (cont.)
    59:16 - What’s Next?
    59:28 - Heatmap Visualization (cont.)
    59:29 - Heatmap Visualization
    59:32 - Heatmap Visualization (cont.)
    01:00:18 - What’s Next?
    01:02:45 - Download Results
    01:02:56 - Analysis Report
    01:03:21 - Select a Module (Enrichment Analysis)
    01:03:29 - Metabolite Set Enrichment Analysis (MSEA)
    01:04:18 - Enrichment Analysis
    01:04:56 - MSEA
    01:05:09 - The MSEA Approach
    01:05:18 - Data Set Selected
    01:06:02 - Start with a Compound List for ORA
    01:06:10 - Upload Compound List
    01:06:38 - Perform Compound Name Standardization
    01:06:55 - Name Standardization (cont.)
    01:07:11 - Select a Metabolite Set Library
    01:07:46 - Result
    01:08:39 - Result (cont.)
    01:09:04 - The Matched Metabolite Set
    01:09:18 - Phenylalanine and Tyrosine Metabolism in SMPDB
    01:09:42 - Single Sample Profiling (SSP)
    (Basically used by a physician to analyze a patient)
    01:10:14 - Concentration Comparison
    01:11:13 - Quantitative Enrichment Analysis (QEA)
    01:11:30 - Result
    01:11:47 - The Matched Metabolite Set
    01:12:02 - Select a Module (Pathway Analysis)
    01:12:09 - Pathway Analysis
    01:12:57 - Data Set Selected
    01:13:03 - Pathway Analysis Module
    01:13:09 - Data Upload
    01:13:22 - Perform Data Normalization
    01:13:38 - Select Pathway Libraries
    01:13:54 - Perform Network Topology Analysis
    01:14:04 - Pathway Position Matters
    01:14:44 - Which Node is More Important?
    01:14:54 - Pathway Position Matters
    01:14:56 - Which Node is More Important?
    01:15:01 - Pathway Visualization
    01:17:15 - Pathway Visualization (cont.)
    01:17:28 - Pathway Impact
    01:17:43 - Result
    01:17:54 - Select a Module (Biomarker Analysis)
    01:18:58 - Biomarker Analysis
    01:19:37 - Select Test Data Set 1
    01:19:42 - Data Set Selected
    01:20:34 - Perform Data Integrity Check
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ความคิดเห็น • 5

  • @imkleine
    @imkleine 7 ปีที่แล้ว

    Wonderfully helpful. Thank you!

  • @sinasaedsamii9839
    @sinasaedsamii9839 7 ปีที่แล้ว +1

    Thank you, it was very useful!

  • @thaovn36
    @thaovn36 7 ปีที่แล้ว

    Thank you so much

  • @bolajifoyeyemi375
    @bolajifoyeyemi375 8 ปีที่แล้ว

    This is good

  • @emmanuelharuna4113
    @emmanuelharuna4113 7 ปีที่แล้ว +2

    made my work easier. Thought how I could get those licensed softwares. Tq