PSI-Seq

PSI-Seq (Pseudouridine Site Identification Sequencing) is a high-throughput sequencing method used to identify and map pseudouridine (?) modifications in RNA at a transcriptome-wide level.

Pseudouridine is the most abundant RNA modification, commonly found in tRNA, rRNA, and increasingly recognized in mRNA. Unlike uridine, pseudouridine has a C–C glycosidic bond, which affects RNA stability and function.Sites where reverse transcription drops off or terminates significantly more in +CMC than in -CMC indicate pseudouridine sites.The reads are aligned, and termination frequency at each site is compared.

IMG
By the end of this course, participants will confidently navigate Linux-based bioinformatics environments and proficiently retrieve, preprocess, and perform quality control on PSI-Seq data. They'll understand the chemistry behind CMCT-mediated pseudouridine detection and will be able to align sequencing reads, visualize RT-stop events in IGV, and calculate pseudouridylation scores at single-nucleotide resolution. Furthermore, learners will harness R to analyze and visualize data, perform functional enrichment.

šŸ‘‰ 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 PSI-Seq Data Analysis
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

šŸ‘‰ For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
šŸ‘‰ Run time video recording candidate can make as well as pdf manual will be provided for future reference.
šŸ‘‰ All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
šŸ‘‰ For doubt clear there will be extra support will be provided based on the requirement.
šŸ‘‰ 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 PSI-Seq Data Analysis
    šŸ“˜ Introduction to Bioinformatics & NGS
    - Bioinformatics fundamentals
    - NGS platforms (Illumina, Nanopore, etc.)
    - Omics data overview
    - Workflow and Algorithm for PSI-Seq

    šŸ“˜ Linux Basics & NGS Tool Installation
    - Linux terminal & basic commands
    - Installing bioinformatics tools with conda & apt
    Tools: FastQC, fastp, Bowtie2, Samtools

    šŸ“˜ Data Retrieval & NGS Data Types
    - Download data from NCBI SRA OR EBI SRA database
    - Understand file formats: FASTQ, SAM, BAM, GFF

    šŸ“˜ Pseudouridine Site Detection (CMCT Chemistry)
    - CMCT modification & reverse transcription stalling
    - +CMC vs -CMC controls

    šŸ“˜ Read Quality Control
    - Assess read quality using FastQC
    - Trim adapters and low-quality bases

    šŸ“˜ Read Alignment to Reference Genome
    - Align reads
    - Post-process with Samtools

    šŸ“˜ Read Visualization
    - Use IGV to inspect BAM files and visualize RT stop sites

    šŸ“˜ Single Nucleotide Metrics
    - Use bam-readcount to extract per-base coverage and mismatches

    šŸ“˜ R Programming Basics
    - Vectors, data frames, plotting
    - Packages: ggplot2, dplyr

    šŸ“˜ Site Scoring
    - Calculate pseudouridylation score from CMC-treated reads
    - Normalize +CMC vs -CMC signal

    šŸ“˜ Downstream Analysis of Sites
    - Differential calculation
    - Gene annotation
    - GO and KEGG enrichment

    šŸ“˜ Visualization of Sites
    - Heatmaps, h-plots, scatter plots
    - Advanced plotting with R

    šŸ“˜ 16: Network & Pathway Analysis
    - Use STRING-DB for PPI data
    - Visualize networks in Cytoscape

Preparation

- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC9997552/

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 PSI-Seq Data Analysis
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

šŸ‘‰ For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
šŸ‘‰ Run time video recording candidate can make as well as pdf manual will be provided for future reference.
šŸ‘‰ All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
šŸ‘‰ For doubt clear there will be extra support will be provided based on the requirement.
šŸ‘‰ 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
    šŸ“˜ Introduction to Bioinformatics
    - Overview of bioinformatics and its applications
    - Key concepts in computational biology
    - Role of bioinformatics in genomics, transcriptomics, and proteomics

    šŸ“˜ 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

    šŸ“˜ 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

    šŸ“˜ 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

    šŸ“˜ 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

    šŸ“˜ 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

    šŸ“˜ 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) - PSI-Seq Data Analysis
Topics
    šŸ“˜ Introduction to Bioinformatics & NGS
    - Bioinformatics fundamentals
    - NGS platforms (Illumina, Nanopore, etc.)
    - Omics data overview
    - Workflow and Algorithm for PSI-Seq

    šŸ“˜ Linux Basics & NGS Tool Installation
    - Linux terminal & basic commands
    - Installing bioinformatics tools with conda & apt
    Tools: FastQC, fastp, Bowtie2, Samtools

    šŸ“˜ Data Retrieval & NGS Data Types
    - Download data from NCBI SRA OR EBI SRA database
    - Understand file formats: FASTQ, SAM, BAM, GFF

    šŸ“˜ Pseudouridine Site Detection (CMCT Chemistry)
    - CMCT modification & reverse transcription stalling
    - +CMC vs -CMC controls

    šŸ“˜ Read Quality Control
    - Assess read quality using FastQC
    - Trim adapters and low-quality bases

    šŸ“˜ Read Alignment to Reference Genome
    - Align reads
    - Post-process with Samtools

    šŸ“˜ Read Visualization
    - Use IGV to inspect BAM files and visualize RT stop sites

    šŸ“˜ Single Nucleotide Metrics
    - Use bam-readcount to extract per-base coverage and mismatches

    šŸ“˜ R Programming Basics
    - Vectors, data frames, plotting
    - Packages: ggplot2, dplyr

    šŸ“˜ Site Scoring
    - Calculate pseudouridylation score from CMC-treated reads
    - Normalize +CMC vs -CMC signal

    šŸ“˜ Downstream Analysis of Sites
    - Differential calculation
    - Gene annotation
    - GO and KEGG enrichment

    šŸ“˜ Visualization of Sites
    - Heatmaps, h-plots, scatter plots
    - Advanced plotting with R

    šŸ“˜ 16: Network & Pathway Analysis
    - Use STRING-DB for PPI data
    - Visualize networks in Cytoscape

Preparation

- NCBI : https://pmc.ncbi.nlm.nih.gov/articles/PMC9997552/

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.