About this course
The Six Month: Research-Oriented Metagenomics and NGS Analysis Course at Dr. Omics Edu is a 6-month live, mentor-led online course in microbiome, metagenomics and transcriptomics. Eleven modules combine metagenomics with core NGS analysis for research work. You learn on real biological data and finish with an omics dataset analysed from raw data to biological interpretation that you can show to an employer, a guide or an admissions panel.
In this course you move through metagenomics study design, amplicon and shotgun data processing and taxonomic profiling, then apply them in a hands-on project. The course runs live online across 11 modules, so you can ask your mentor questions as you work. It is an advanced-level course, best suited to learners who already know the fundamentals.
What you will learn
• Metagenomics study design
• Amplicon and shotgun data processing explanation
• Diversity and statistical analysis
• Research project and reporting
Microbiome data analyst, metagenomics analyst, transcriptomics analyst, research associate.
Skills you will gain
Linux
QIIME 2
DADA2
KRONA
MEGA
Certification
Available
Issued by Dr. Omics Edu
Course curriculum
11 modules
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M1T1 = Introduction to Bioinformatics
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M1T2 = NCBI Database Overview
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M1T3 = Genbank Database Practical Exercises
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M1T4 = UCSC Genome Browser Overview
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M1T5 = UCSC Genome Browser Hands-on Exercises
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M1T6 = Pubmed Database Introduction
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M1T7 = Clinvar Database Overview
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M1T8 = KEGG Database Overview and Exercises
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M1T9 = Protein Databases (UniProt)
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M1T10 = Protein Databases (PDB)
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M1T11 = Online BLAST Introduction and Exercises
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M1T12 = Standalone BLAST Setup and Exercises
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M1T13 = Standalone BLAST Advanced Exercises
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M1T14 = Multiple Sequence Alignment with ClustalW
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M1T15 = Multiple Sequence Alignment with MEGA
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M2T1 = Overview and Installation of Linux
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M2T2 = Basic Linux Commands
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M2T3 = Advanced Linux Commands
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M2T4 = Package Management using Repository
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M2T5 = Package Management using Source Code
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M3T1 = Introduction to Python
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M3T2= Data Types
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M3T3= String Handling
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M3T4= Data Structure
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M3T5=Control Structure
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M3T6 = Function
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M3T7= File Handling
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M3T8= Data Manipulation
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M3T9= Data Visualization
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M3T10= Biopython
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M4T1 = Introduction and Installation of R
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M4T2= Data Types in R
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M4T3= Data Structure
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M4T4= File Handling
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M4T5=Control Structure
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M4T6 = Function
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M4T7= Package Management
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M4T8= Data Manipulation
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M4T9= Data Visualization
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M4T10= Statistical Analysis
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M6T1= Introduction to NGS and DNAseq
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M6T2= Basic Terminologies in NGS
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M6T3= Understanding of SRA database
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M6T4= Tools installation in Linux for Variation Calling
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M6T5= Quality control
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M6T6= Trimming of Reads
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M6T7= Indexing of Genome and Alignment of Reads
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M6T8= Variation calling using GATK
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M6T9= Variant Effect Prediction(VEP)
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M6T10= Variation Visualization (IGV)
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M7T1=Introduction to RNAseq and it’s basic terminologies
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M7T2=Tools installation in Linux for Gene Expression analysis
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M7T3=Quality control and Trimming of reads
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M7T4=Indexing of Genome and Alignment of Reads
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M7T5=Normalization of Data (Cufflinks)
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M7T6=Merging of Data and Differential expression of genes
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M7T7=Understanding of DEG results
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M7T8=Annotation of DEG
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M7T9=Functional and Pathway Enrichment Analysis
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M7T10=Network Analysis
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M8T1= Tools installation for De-novo RNAseq
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M8T2= Tools installation for De-novo RNAseq
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M8T3= Data downlading and Quality control
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M8T4= Assembly Creation
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M8T5= Abundance count estimation
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M8T6= Generation of count matrix and DEG
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M8T7= BLAST
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M8T8= Understanding the DEG results
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M8T9= Annotation of DEGs
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M8T10= Encrichment Analysis
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"M9T1= Introduction to metagenomics
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"
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M9T2= Tools installation for metagenomics
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M9T3= Data Downloading
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M9T4= Quality control & Trimming
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M9T5= Data importing in Qimme2
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M9T6= Data quality check using DADA2
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M9T7= Phylogentic Analysis
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M9T8= Taxonomy Analysis
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M9T9= Krona Plot
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M9T0= Phylogenetic tree construction
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M10T1= Introduction to MIcroarray
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M10T2= Introduction to Microarray
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M10T3= Data Downloading
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M10T4= Microarray Pipeline upto Normalization
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M10T5= Microarray Pipeline till DEG
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M10T6= Annotation of DEG
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M10T7= Encrichment Analysis
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M10T8= Network Analysis
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M10T9= Volcano Plot
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M10T10= Heatmap
What you need to start
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Basic understanding of Molecular Biology and Genetics.
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Familiarity with any programming language (Python or R is a plus but not mandatory).
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A laptop with a minimum of 8GB RAM for running local bioinformatics simulations.
Who this course is for
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B.Sc, M.Sc, B.Tech, M.Tech and PhD students in microbiology, biotechnology, genetics or life sciences.
