Learn · Introduction to Proteogenomics
Lecture 32 of 80Week 5
Lecture 24 : ProTIGY - II
Prof. Sanjeeva Srivastava · IIT Bombay
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- Introduction to Proteogenomics, IIT Bombay (at NPTEL)
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All the lectures
- Lecture 1 : Proteogenomics overview-I
- Lecture 2 : Proteogenomics overview-II
- Lecture 3 : Introduction to Genomics - Part I: Gene sequencing and mutations
- Lecture 4 : Introduction to Genomics - Part II: Sequence Alignment
- Lecture 5 : Introduction to Genomics - Part III: Transcriptome
- Supplementary Lecture 1 : Perspectives in Proteogenomics - I
- Supplementary Lecture 2 : Advancement in Cancer Genomics
- Lecture 6 : Introduction to Genomics - Part IV: Epigenome
- Lecture 7 : Introduction to Genomics: cBioPortal
- Lecture 8 : Genotype, Gene expression & Phenotype - I
- Lecture 9 : Genotype, Gene expression & Phenotype - II
- Lecture 10 : An overview of NGS technology
- Supplementary Lecture 3 : NGS-Sequencing by synthesis - I
- Supplementary Lecture 4 : NGS- Sequencing by synthesis - II
- Lecture 11 : Introduction to Proteomics
- Lecture 12 : Proteomics: Sample Prep & Protein Quantification
- Lecture 13 : Applications of Proteomics
- Lecture 14 : Introduction to MS-based Proteomics - I
- Lecture 15 : Introduction to MS-based Proteomics - II
- Supplementary Lecture 5 : Applications of NGS – IonTorrent
- Supplementary Lecture 6 : Genomic Analysis using Droplet PCR - I
- Lecture 16 : Introduction to MS-based Proteomics - I (Hands-on session)
- Lecture 17 : Introduction to MS-based Proteomics- II (Hands-on session)
- Lecture 18 : Data analysis: Normalization
- Lecture 19 : Data analysis: Batch Correction and Missing values
- Lecture 20 : Data analysis: Statistical Test
- Supplementary Lecture 7 : Genomic Analysis using Droplet PCR - II
- Supplementary Lecture 8 : Topics in Proteogenomics: Malaria case study
- Lecture 21 : Machine learning and Clustering
- Lecture 22 : Hypothesis testing
- Lecture 23 : ProTIGY - I
- Lecture 24 : ProTIGY - II
- Lecture 25 : Proteomics Data Analysis
- Supplementary Lecture 9 : Proteomics Lab Demonstration I
- Supplementary Lecture 10 : Proteomics Lab Demonstration II
- Lecture 26 : Workflow to Automated Data Processing
- Lecture 27 : Introduction to Fire Cloud
- Lecture 28 : FireCloud and Data Model
- Lecture 29 : Bioinformatics solutions for ‘Big Data’ Analysis - I
- Lecture 30 : Bioinformatics solutions for ‘Big Data’ Analysis - II
- Supplementary Lecture 11 : Introduction to Targeted Proteomics
- Supplementary Lecture 12 : Data analysis using Skyline
- Lecture 31 : Large-scale data Science - I
- Lecture 32 : Large-scale data Science - II
- Lecture 33 : Large-scale data Science - III
- Lecture 34 : DIA-SWATH Atlas - I
- Lecture 35 : DIA-SWATH Atlas - II
- Supplementary Lecture 13 : Prediction Analysis
- Supplementary Lecture 14 : Pathway Enrichment and Network Analysis
- Lecture 36 : Human Protein Atlas - I
- Lecture 37 : Human Protein Atlas - II
- Lecture 38 : Affinity based proteomics & HPA
- Lecture 39 : Clinical Considerations for OMICS - I
- Lecture 40 : Clinical Considerations for OMICS - II
- Supplementary Lecture 15 : Topics in Proteogenomics: Cancer case study
- Supplementary Lecture 16 : Integrative Genomics Viewer (IGV)
- Lecture 41 : Introduction to Proteogenomics - I
- Lecture 42 : Introduction to Proteogenomics - II
- Lecture 43 : Sequence centric proteogenomics
- Lecture 44 : Variant Analysis
- Lecture 45 : Proteomics: Clinical Applications
- Supplementary Lecture 17 : Perspectives in Proteogenomics II
- Lecture 46 : Predictive Analysis - I
- Lecture 47 : Predictive Analysis - II
- Lecture 48 : Association/ Marker Selection
- Lecture 49 : WebGestalt - I
- Lecture 50 : WebGestalt - II
- Supplementary Lecture 18: Perspectives in Proteogenomics III
- Lecture 51 : Network Analysis - I
- Lecture 52 : Network Analysis - II
- Lecture 53 : Mutation and Signaling - I
- Lecture 54 : Mutations and Signaling - II
- Lecture 55 : Pathway Enrichment - I
- Supplementary Lecture 19 : Perspectives in Proteogenomics IV
- Lecture 56 : Pathway Enrichment - II
- Lecture 57 : Sequence - GSEA
- Lecture 58 : Linked Omics - I
- Lecture 59 : Linked Omics - II
- Lecture 60 : Proteogenomics: Opportunities and Challenges
- Supplementary Lecture 20 : Perspectives in Proteogenomics V