Unlocking Insights: A Practical Journey in Genomic Data Analysis
This one-month intensive program is designed to provide participants with a thorough introduction to genomic data analysis. Through interactive sessions, attendees will learn how to access genomic databases, retrieve relevant data, and utilize bioinformatics tools for analysis. Participants will engage in practical exercises to analyze real-world genomic datasets, enhancing their understanding of the data’s implications in biological research and medical applications.
The program emphasizes a hands-on approach, allowing participants to work with tools like NCBI and UCSC Genome Browser, making the learning experience both engaging and applicable. By the end of the day, attendees will have gained valuable insights into the methodologies used in genomic research, preparing them for further exploration in the field of bioinformatics.
This program aims to equip participants with practical skills in genomic data analysis through hands-on experience using popular bioinformatics tools. Participants will explore genomic data retrieval, analysis, and visualization, enabling them to understand the underlying biological significance of genomic sequences.
Week 1: Introduction to Genomics and Data Types
Basics of genome organization and sequencing technologies
NGS platforms: Illumina, Oxford Nanopore, PacBio
Types of genomic data: FASTQ, BAM, VCF, GFF
Introduction to Linux and command-line interfaces for bioinformatics
Week 2: Sequence Data Quality Control and Alignment
Quality assessment using FastQC and trimming tools (Trimmomatic, Cutadapt)
Genome indexing and alignment using BWA/Bowtie2
File conversions and manipulations using SAMtools
Hands-on exercises with reference genome and raw data
Week 3: Variant Calling, Annotation, and Interpretation
SNP and Indel calling with GATK, FreeBayes
Functional annotation using ANNOVAR and SnpEff
Integrating variant data with databases (ClinVar, dbSNP, gnomAD)
Interpreting disease-associated mutations and population variation
Week 4: Transcriptomics and Advanced Analytical Workflows
RNA-Seq data processing and differential gene expression (DESeq2, edgeR)
Visualization tools: IGV, UCSC Genome Browser, heatmaps, PCA
Functional enrichment: GO, KEGG, Reactome
Introduction to machine learning in genomic data classification
Standard: ₹3,998 | $120
Discounted: ₹1999 | $60
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
with Abhimanyu
