NOC:Introduction to Proteogenomics


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


Lecture 6 - Perspectives in Proteogenomics - I


Lecture 7 - Advancement in Cancer Genomics


Lecture 8 - Introduction to Genomics - Part IV : Epigenome


Lecture 9 - Introduction to Genomics - cBioPortal


Lecture 10 - Genotype, Gene expression and Phenotype - I


Lecture 11 - Genotype, Gene expression and Phenotype - II


Lecture 12 - An overview of NGS technology


Lecture 13 - NGS - Sequencing by synthesis - I


Lecture 14 - NGS - Sequencing by synthesis - II


Lecture 15 - Introduction to Proteomics


Lecture 16 - Proteomics: Sample Prep and Protein Quantification


Lecture 17 - Applications of Proteomics


Lecture 18 - Introduction to MS-based Proteomics - I


Lecture 19 - Introduction to MS-based Proteomics - II


Lecture 20 - Applications of NGS - IonTorrent


Lecture 21 - Genomic Analysis using Droplet PCR - I


Lecture 22 - Introduction to MS-based Proteomics - I (Hands-on session)


Lecture 23 - Introduction to MS-based Proteomics - II (Hands-on session)


Lecture 24 - Data analysis : Normalization


Lecture 25 - Data analysis : Batch Correction and Missing values


Lecture 26 - Data analysis : Statistical Test


Lecture 27 - Genomic Analysis using Droplet PCR - II


Lecture 28 - Topics in Proteogenomics : Malaria case study


Lecture 29 - Machine learning and Clustering


Lecture 30 - Hypothesis testing


Lecture 31 - ProTIGY - I


Lecture 32 - ProTIGY - II


Lecture 33 - Proteomics Data Analysis


Lecture 34 - Proteomics Lab Demonstration - I


Lecture 35 - Proteomics Lab Demonstration - II


Lecture 36 - Workflow to Automated Data Processing


Lecture 37 - Introduction to Fire Cloud


Lecture 38 - FireCloud and Data Model


Lecture 39 - Bioinformatics solutions for Big Data Analysis - I


Lecture 40 - Bioinformatics solutions for Big Data Analysis - II


Lecture 41 - Introduction to Targeted Proteomics


Lecture 42 - Data analysis using Skyline


Lecture 43 - Large-scale data Science - I


Lecture 44 - Large-scale data Science - II


Lecture 45 - Large-scale data Science - III


Lecture 46 - DIA-SWATH Atlas - I


Lecture 47 - DIA-SWATH Atlas - II


Lecture 48 - Prediction Analysis


Lecture 49 - Pathway Enrichment and Network Analysis


Lecture 50 - Human Protein Atlas - I


Lecture 51 - Human Protein Atlas - II


Lecture 52 - Affinity based proteomics & HPA


Lecture 53 - Clinical Considerations for OMICS - I


Lecture 54 - Clinical Considerations for OMICS - II


Lecture 55 - Topics in Proteogenomics: Cancer case study


Lecture 56 - Integrative Genomics Viewer (IGV)


Lecture 57 - Introduction to Proteogenomics - I


Lecture 58 - Introduction to Proteogenomics - II


Lecture 59 - Sequence centric proteogenomics


Lecture 60 - Variant Analysis


Lecture 61 - Proteomics - Clinical Applications


Lecture 62 - Perspectives in Proteogenomics - II


Lecture 63 - Predictive Analysis - I


Lecture 64 - Predictive Analysis - II


Lecture 65 - Association/ Marker Selection


Lecture 66 - WebGestalt - I


Lecture 67 - WebGestalt - II


Lecture 68 - Perspectives in Proteogenomics - III


Lecture 69 - Network Analysis - I


Lecture 70 - Network Analysis - II


Lecture 71 - Mutations and Signaling - I


Lecture 72 - Mutations and Signaling - II


Lecture 73 - Pathway Enrichment - I


Lecture 74 - Perspectives in Proteogenomics - IV


Lecture 75 - Pathway Enrichment - II


Lecture 76 - Sequence - GSEA


Lecture 77 - Linked Omics - I


Lecture 78 - Linked Omics - II


Lecture 79 - Proteogenomics - Opportunities and Challenges


Lecture 80 - Perspectives in Proteogenomics - V