SNAP-ChIP

SNAP-ChIP (Simultaneous Nucleosome Affinity Purification with ChIP) is a next-generation ChIP-seq technique that utilizes synthetic, barcoded nucleosome spike-in controls to enable precise normalization, antibody specificity assessment, and accurate quantification of histone modifications. This advanced approach overcomes key limitations of traditional ChIP-seq by allowing direct comparison of epigenomic changes across conditions, treatments, or time points with high reproducibility.
ArrayGen offers comprehensive bioinformatics solutions including dual-genome alignment, spike-in quantification, antibody validation, normalized peak calling, and downstream data visualization.
Researchers will receive fully processed data, interactive reports, and publication-ready figures making SNAP-ChIP a powerful tool for high-resolution chromatin profiling in both academic and translational research settings. With this launch, ArrayGen continues to provide innovative, high-quality genomics services tailored to the evolving needs of the life sciences community.

By completing the SNAP-CHIP pipeline, learners gain practical skills in quantification of histone modifications, preparing them for academic research, clinical genomics, or biotech industry roles.

👉 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!!

RNASeq [R]
RNASeq [D]
scRNA-Seq
lncRNA-Seq
miRNA-Seq
PSI-Seq
ChipSeq
ATAC-Seq
scATA-Seq
Spatial Transcriptome
DNASeq
MethylSeq
Whole Genome de novo Assembly
Targeted metagenomics
Whole Genome Metagenomics
Metatranscriptomics
RAD-Seq
SNAP-ChIP

7 Days Training
15 Days Training

Course Information
Course	SNAP-ChIP Data Analysis
Duration	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	Online (one to one individual Focused Training) 👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive) 👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference. 👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning. 👉 For doubt clear there will be extra support will be provided based on the requirement. 👉 Certificate will be provided
Sequencing Platform	Illumina
Raw data	Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Support	Candidate can also discuss and possible implementation with their own genomic data or any data too during the course.
Module-NGS SNAP-ChIP Data Analysis	📘 SNAP-ChIP Basics - Understanding NGS and Application-SNAP-CHIP - Understanding different data formats 📘 Linux and Tool Installation - Linux installation - NGS tools installation 📘 Read Quality Control - Perform quality control on raw sequencing reads - Trim adapters and low-quality bases 📘 Read Alignment - Align reads to the host genome (human or mouse) - Align reads to the synthetic spike-in reference genome (barcoded nucleosomes) 📘 Spike-in Analysis - Count reads mapping to each synthetic nucleosome (each represents a specific histone PTM) - Calculate fold enrichment for each spike-in (IP vs Input) - Assess antibody specificity and cross-reactivity 📘 Normalization - Normalize ChIP-seq data using spike-in recovery levels - Apply normalization across samples or experimental conditions 📘 Peak Calling and Visualization - Call peaks - Generate normalized signal tracks - Visualize data in genome browsers 📘 Downstream Analysis - Differential binding - Clustering - Heatmaps 📘 Result Summarization - Spike-in enrichment - Antibody performance - Genomic binding profiles
Preparation	- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC5755379/
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	SNAP-ChIP Data Analysis
Duration	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	Online (one to one individual Focused Training) 👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive) 👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference. 👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning. 👉 For doubt clear there will be extra support will be provided based on the requirement. 👉 Certificate will be provided
Sequencing Platform	Illumina
Raw data	Candidate can include maximum 4 datasets of their own during training. Publication standards figures and tables will be generated.
Training Fees
Support	Candidate can also discuss and possible implementation with their own genomic data or any data too during the course.
Module-I	Advanced Bioinformatics & basic programming
Topics	📘 Introduction to Bioinformatics - Overview of bioinformatics and its applications - Key concepts in computational biology - Role of bioinformatics in genomics, transcriptomics, and proteomics 📘 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 📘 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 📘 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 📘 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 📘 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 📘 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) - SNAP-ChIP Data Analysis
Topics	📘 SNAP-ChIP Basics - Understanding NGS and Application-SNAP-CHIP - Understanding different data formats 📘 Linux and Tool Installation - Linux installation - NGS tools installation 📘 Read Quality Control - Perform quality control on raw sequencing reads - Trim adapters and low-quality bases 📘 Read Alignment - Align reads to the host genome (human or mouse) - Align reads to the synthetic spike-in reference genome (barcoded nucleosomes) 📘 Spike-in Analysis - Count reads mapping to each synthetic nucleosome (each represents a specific histone PTM) - Calculate fold enrichment for each spike-in (IP vs Input) - Assess antibody specificity and cross-reactivity 📘 Normalization - Normalize ChIP-seq data using spike-in recovery levels - Apply normalization across samples or experimental conditions 📘 Peak Calling and Visualization - Call peaks - Generate normalized signal tracks - Visualize data in genome browsers 📘 Downstream Analysis - Differential binding - Clustering - Heatmaps 📘 Result Summarization - Spike-in enrichment - Antibody performance - Genomic binding profiles
Preparation	- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC5755379/
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 offline training or for any custom training based on candidate reference paper or candidate own content/tools.