Course |
ATASeq 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
|
Γ°ΕΈββ° For online training candidate have to install ZOOM (with remote control on
candidate system which makes 100% interactive)
π Run time video recording candidate can make as well as pdf manual
will be
provided for future reference.
π All our training is 100% practical and 100% industrial and 100%
interactive
which provides same
as offline learning.
π For doubt clear there will be extra support will be provided
based on the
requirement.
π Certificate will be provided
Kindly process with registration and payment from below link and
after
registration confirmation you will receive email.
All our online payment gateway is highly secured.
For clarification kindly connect with us on whatsapp or call us on
number
+91-9673625446.
|
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 |
π Introduction to Bioinformatics
- Overview of bioinformatics and its applications
- Key concepts in computational biology
- Role of bioinformatics in genomics, transcriptomics, and proteomics
π 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
π 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
π 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
π 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
π 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
π 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) - ATASeq Data Analysis |
Topics |
π Introduction to Bioinformatics & NGS
- What is Bioinformatics?
- NGS Technologies Overview
- Introduction to ATAC-Seq & Applications
- Paired-end Reads, Tn5 Insertion Bias & ATASeq Algorithm
π Linux Basics & Environment Setup
- Linux Command Line Basics
- Installing Tools (FastQC, Bowtie2, MACS2, etc.)
- Using Conda and Shell Scripting
π Data Retrieval & Formats
- Fetching data from NCBI SRA using SRA Toolkit
- Understanding FASTQ, SAM, BAM, BED, GTF formats
π Read Quality Control
- Read Quality Check
- Adapter and Quality Trimming
π Alignment and Post-processing
- Mapping Raw Reads
- BAM Processing with Samtools & Picard
- Filtering, Deduplication, and Fragment Analysis
π Peak Calling
- Accurate Peak Calling
- Handling Replicates and Tn5 Bias
- Paired-end vs Single-end Considerations
π Differential Accessibility Analysis
- Differential Calculation
- Normalization, Replicate Handling, Visualization
π Peak Annotation
- Annotating Peaks (Downstream, Upstream, Inside Gene,
Intergenic)
- Genomic Features and Gene Association
π Motif Enrichment Analysis
- Finding TF Motifs
- De novo vs Known Motif Discovery
π Footprinting Analysis
- Principle of Transcription Factor Protection
π Nucleosome Positioning
- Estimate Nucleosome Spacing
- Fragment Size-based Interpretation
π Visualization & Multi-omics Integration
- Creating BigWig Files & Viewing in IGV/UCSC
- Overlaying ATAC-seq with RNA-seq, ChIP-seq, WGBS data
- Integrative Analysis for Functional Interpretation
|
Preparation
|
- ATAC-seq : https://en.wikipedia.org/wiki/ATAC-seq
- NCBI : https://pubmed.ncbi.nlm.nih.gov/36173566/
|
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.
|