Targeted metagenomics

Targeted metagenomics (also called amplicon-based metagenomics or marker gene sequencing) is a method used to study the composition and diversity of microbial communities by focusing on specific genes of interest, rather than sequencing all the DNA in a sample (as in whole metagenome shotgun sequencing).

The most widely used genetic marker in targeted metagenomics is the 16S ribosomal RNA (rRNA) gene for bacteria and archaea. This gene contains both conserved and variable regions, making it ideal for distinguishing between different microbial species while still being broadly present across many types of microorganisms. For fungi, similar roles are played by the ITS (Internal Transcribed Spacer) and 18S rRNA genes.

IMG
This course introduces students to the principles, techniques, and applications of targeted metagenomics. The focus is on the use of marker gene sequencingβ€”such as 16S rRNA, 18S rRNA, and ITS regionsβ€”for the study of microbial community structure and diversity. Students will gain theoretical knowledge and practical skills in sample processing, sequencing, and bioinformatics analysis.

πŸ‘‰ Enroll now and take the first step toward a future in data-driven biology and beyond.

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Course Information
Course Targeted metagenome (16s rRNA / ITS / 18s rRNA diversity study)
Duration online 7 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

πŸ‘‰ For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
πŸ‘‰ Run time video recording candidate can make as well as pdf manual will be provided for future reference.
πŸ‘‰ All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
πŸ‘‰ For doubt clear there will be extra support will be provided based on the requirement.
πŸ‘‰ Certificate will be provided

Sequencing Platform Illumina /Ion Torrent/PacBio/Nanopore
Raw data Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Module-NGS Targeted metagenome Data Analysis
    πŸ“˜ Introduction to NGS Targeted Metagenome
    - Understanding NGS and Its Applications
    - Types of sequencing data generated
    - Understanding FASTQ files and sequencing quality scores

    πŸ“˜ Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing Targeted Metagenome Tools
    - Using Conda and Shell Scripting

    πŸ“˜ Data Retrieval & Formats
    - Fetching data from NCBI SRA using SRA Toolkit
    - Understanding different file formats

    πŸ“˜ Introduction to R/Bioconductor
    - Installing packages with CRAN and Bioconductor
    - Data types and standardized data container
    - Data manupulation

    πŸ“˜ Import Raw Data
    - Load FASTQ files and sample metadata preparation for analysis

    πŸ“˜ Demultiplexing
    - Separate pooled sequences into individual samples using barcode information

    πŸ“˜ Quality Control and Denoising
    - Remove low-quality reads and correct sequencing errors

    πŸ“˜ Generate Feature Table and Representative Sequences
    - Create a table showing how many times each unique sequence appears per sample, and select representative sequences for downstream steps

    πŸ“˜ Assign Taxonomy
    - Use reference databases (e.g., SILVA, Greengenes etc) to identify the microbial taxa represented by each sequence
    - Detection 16s/18s/ITS anyone candidate can select

    πŸ“˜ Visualize Taxonomy
    - Create bar plots and summaries to show the composition and abundance of microbial taxa across your samples

    πŸ“˜ Phylogenetic Tree Construction
    - Build a tree to understand evolutionary relationships between detected microbes; needed for phylogenetic diversity analysis

    πŸ“˜ Diversity Analysis
    - Alpha diversity: Measures species richness and evenness within individual samples
    - Beta diversity: Compares community differences between samples or groups

    πŸ“˜ Visualize Diversity Results
    - Generate interactive plots (e.g., PCoA, Rarefaction, Krona etc) to explore patterns in microbial community structure

Preparation

- Targeted metagenomics : https://en.wikipedia.org/wiki/Metagenomics
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC4585196/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.

Course Information
Course Targeted metagenome (16s rRNA / ITS / 18s rRNA diversity study)
Duration online 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

πŸ‘‰ For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
πŸ‘‰ Run time video recording candidate can make as well as pdf manual will be provided for future reference.
πŸ‘‰ All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
πŸ‘‰ For doubt clear there will be extra support will be provided based on the requirement.
πŸ‘‰ Certificate will be provided

Sequencing Platform Illumina /Ion Torrent/PacBio/Nanopore
Raw data Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Module-I Advanced Bioinformatics & basic programming
Topics
    πŸ“˜ Introduction to Bioinformatics
    - Overview of bioinformatics and its applications
    - Key concepts in computational biology
    - Role of bioinformatics in genomics, transcriptomics, and proteomics

    πŸ“˜ Understanding NGS and Genomics Bioinformatics
    - Basics of Next-Generation Sequencing (NGS)
    - Types of NGS data (RNA-seq, WGS, WES)
    - Overview of NGS data formats: FASTQ, BAM, VCF
    - Introduction to pipelines and tools for NGS data analysis

    πŸ“˜ Databases & Data Retrieval (NCBI and UCSC)
    - Learning how to retrieve biologically correct data
    - Performing complete batch retrieval (e.g., whole exome)
    - NCBI: understanding gene-level data retrieval
    - UCSC: handling large-scale data retrieval
    - UCSC Genome Browser and Table Browser usage
    - Batch Coordinate Retrieval and Genomic Data downloads
    - GFF/GTF gene annotation formats and how to retrieve them
    - Using BLAT for sequence-based search and alignment

    πŸ“˜ Gene Prediction and Functional Annotation
    - Gene prediction approaches and tools
    - Functional annotation using Gene Ontology (GO)
    - Pathway analysis using KEGG, Reactome
    - Interpreting gene sets and biological relevance

    πŸ“˜ Standalone/Offline BLAST for Large-Scale Genomic Data
    - Installing and setting up standalone BLAST
    - Running local BLAST for batch sequence alignment
    - Applications in genome-wide homology searches
    - Custom BLAST databases and performance optimization

    πŸ“˜ PCR Primer Designing and Specificity Check
    - Designing accurate primers for PCR amplification
    - Tools: Primer3, NCBI Primer-BLAST
    - Checking primer specificity using genome-wide BLAST
    - Avoiding non-target amplification through design best practices

    πŸ“˜ Understanding Python Programming
    - Introduction to Python for bioinformatics
    - Scripting basics: variables, loops, functions
    - Libraries like Biopython, pandas for biological data handling
    - Automating genomic workflows with Python scripts

AND
Module-II Next Generation Sequencing (NGS) - Targeted metagenome Data Analysis
Topics
    πŸ“˜ Introduction to NGS Targeted Metagenome
    - Understanding NGS and Its Applications
    - Types of sequencing data generated
    - Understanding FASTQ files and sequencing quality scores

    πŸ“˜ Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing Targeted Metagenome Tools
    - Using Conda and Shell Scripting

    πŸ“˜ Data Retrieval & Formats
    - Fetching data from NCBI SRA using SRA Toolkit
    - Understanding different file formats

    πŸ“˜ Introduction to R/Bioconductor
    - Installing packages with CRAN and Bioconductor
    - Data types and standardized data container
    - Data manupulation

    πŸ“˜ Import Raw Data
    - Load FASTQ files and sample metadata preparation for analysis

    πŸ“˜ Demultiplexing
    - Separate pooled sequences into individual samples using barcode information

    πŸ“˜ Quality Control and Denoising
    - Remove low-quality reads and correct sequencing errors

    πŸ“˜ Generate Feature Table and Representative Sequences
    - Create a table showing how many times each unique sequence appears per sample, and select representative sequences for downstream steps

    πŸ“˜ Assign Taxonomy
    - Use reference databases (e.g., SILVA, Greengenes etc) to identify the microbial taxa represented by each sequence
    - Detection 16s/18s/ITS anyone candidate can select

    πŸ“˜ Visualize Taxonomy
    - Create bar plots and summaries to show the composition and abundance of microbial taxa across your samples

    πŸ“˜ Phylogenetic Tree Construction
    - Build a tree to understand evolutionary relationships between detected microbes; needed for phylogenetic diversity analysis

    πŸ“˜ Diversity Analysis
    - Alpha diversity: Measures species richness and evenness within individual samples
    - Beta diversity: Compares community differences between samples or groups

    πŸ“˜ Visualize Diversity Results
    - Generate interactive plots (e.g., PCoA, Rarefaction, Krona etc) to explore patterns in microbial community structure

Preparation

- Targeted metagenomics : https://en.wikipedia.org/wiki/Metagenomics
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC4585196/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.