MethylSeq

MethylSeq, short for Methylation Sequencing, is a set of modern genetic techniques used to study DNA methylation across the genome. DNA methylation is a chemical modification where a small molecule called a methyl group (–CH3) is added to the DNA, usually at cytosine bases in the sequence CpG (where a cytosine is followed by a guanine). This modification doesn't change the actual DNA sequence but can control how genes are turned on or off.

The most common form of MethylSeq is bisulfite sequencing, where DNA is treated with sodium bisulfite. This chemical converts unmethylated cytosines into uracil (which is later read as thymine during sequencing), while methylated cytosines remain unchanged.

MethylSeq helps researchers map where these methyl groups are located and how much methylation is present at different sites in the genome.

IMG
In a MethylSeq course, learners will gain an understanding of DNA methylation and its biological importance, particularly in gene regulation and disease. Additionally, learners will acquire practical skills in analyzing MethylSeq data using bioinformatics tools to identify and interpret methylation changes. By the end, they will be able to apply these insights and methods to real research questions involving epigenetic modifications.

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

## 10% Discount if you register before 15th October, 2025. Hurry up!!


Course Information
Course MethylSeq (Genome wide detection of Methylation and Unmethylation/CpG islands/RRBS)
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 MethylSeq Data Analysis
    πŸ“˜ Introduction to Epigenetics and DNA Methylation
    - What is epigenetics?
    - Role of DNA methylation in gene regulation
    - Methylation in development, disease, and cancer
    - Principles of MethylSeq
    - Bisulfite sequencing (WGBS and RRBS)

    πŸ“˜ Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing Tools (FastQC, Bowtie2, R etc.)
    - Using Conda and Shell Scripting

    πŸ“˜ Data Retrieval & Formats
    - Fetching data from NCBI SRA using SRA Toolkit
    - Understanding FASTQ, SAM, BAM, BED, GTF formats

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

    πŸ“˜ Introduction to MethylSeq Bioinformatics
    - Overview of sequencing data formats (FASTQ, BAM, etc.)
    - Quality control and trimming
    - Aligners for bisulfite data
    - Data handling using command-line basics

    πŸ“˜ DNA Methylation Data Analysis
    - Running Bismark for alignment
    - Analyzing WGBS or RRBS data step-by-step
    - Methylation calling and data interpretation
    - Differential methylation analysis (DMCs and DMRs)
    - Annotation of methylated regions (promoters, CpG islands)
    - Visualization tools (IGV, methylKit, R packages)
    - Interpreting output tables and generating plots
    - Using R or Python for downstream analysis

Preparation

- methyl-seq : https://en.wikipedia.org/wiki/DNA_methylation
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC5749185/

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 MethylSeq (Genome wide detection of Methylation and Unmethylation/CpG islands/RRBS)
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) - MethylSeq Data Analysis
Topics
    πŸ“˜ Introduction to Epigenetics and DNA Methylation
    - What is epigenetics?
    - Role of DNA methylation in gene regulation
    - Methylation in development, disease, and cancer
    - Principles of MethylSeq
    - Bisulfite sequencing (WGBS and RRBS)

    πŸ“˜ Linux Basics & Environment Setup
    - Linux Command Line Basics
    - Installing Tools (FastQC, Bowtie2, R etc.)
    - Using Conda and Shell Scripting

    πŸ“˜ Data Retrieval & Formats
    - Fetching data from NCBI SRA using SRA Toolkit
    - Understanding FASTQ, SAM, BAM, BED, GTF formats

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

    πŸ“˜ Introduction to MethylSeq Bioinformatics
    - Overview of sequencing data formats (FASTQ, BAM, etc.)
    - Quality control and trimming
    - Aligners for bisulfite data
    - Data handling using command-line basics

    πŸ“˜ DNA Methylation Data Analysis
    - Running Bismark for alignment
    - Analyzing WGBS or RRBS data step-by-step
    - Methylation calling and data interpretation
    - Differential methylation analysis (DMCs and DMRs)
    - Annotation of methylated regions (promoters, CpG islands)
    - Visualization tools (IGV, methylKit, R packages)
    - Interpreting output tables and generating plots
    - Using R or Python for downstream analysis

Preparation

- methyl-seq : https://en.wikipedia.org/wiki/DNA_methylation
- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC5749185/

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.