NPTEL : NOC:Introduction to Proteogenomics (Biotechnology)

Co-ordinators : Prof. Sanjeeva Srivastava


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