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Next-Generation Sequencing Data Analysis Program
Decoding Life: Master the Art of NGS Data Analysis
Online/ e-LMS
Self Paced
Moderate
1 Month
About
The Next-Generation Sequencing Data Analysis program offers a deep dive into the techniques and technologies used in modern genomics. Over one month, participants will learn about various sequencing platforms, including Illumina, PacBio, and Oxford Nanopore, and how to utilize popular bioinformatics tools and software for data analysis. The course will cover essential topics such as sequencing data quality control, genome assembly, variant calling, and functional annotation.
Aim
This program is designed to equip participants with the skills to analyze next-generation sequencing (NGS) data, crucial for advancements in genomics, personalized medicine, and biological research. Through hands-on training and theoretical knowledge, students will learn to manage, analyze, and interpret large datasets to drive discoveries and innovations in the life sciences.
Program Objectives
- Master the use of bioinformatics tools for NGS data analysis.
- Understand the principles of sequencing technologies and their applications.
- Perform quality control, read alignment, and variant analysis.
- Develop skills in interpreting and reporting genomic data.
- Prepare for advanced research or professional roles in genomics and biotechnology.
Program Structure
Module 1-
- Introduction to NGS Technology
- Overview of NGS data formats
- Accessing NGS data using SRA tool kit
- Quality control (FastQC) of reads
Module 2-
- Processing of raw reads, adapter clipping, quality trimming
- Read mapping (BWA, BWA-MEM, Bowtie2) to reference sequence
- Mapping output (SAM/BAM format)
- Visualization and evaluation of mapping quality
- Variant Call File Format (VCF)
Module 3-
- Bacterial whole genome assembly using SPADES
- Assessment of genome assembly using BUSCO, QUAST
- Genome Annotation
- Functional annotation using EGG-NOG mapper
Participant’s Eligibility
- Undergraduate degree in Genetics, Bioinformatics, Biology, or related fields.
- Professionals in biomedical, agricultural, or environmental sectors.
- Individuals with a foundational understanding of molecular biology and an interest in genomics.
Program Outcomes
- Comprehensive understanding of NGS technologies and data analysis.
- Ability to perform independent genomic analysis using advanced tools.
- Skills in managing and interpreting large genomic datasets.
- Preparedness for roles in research, clinical settings, or the biotech industry.
- Enhanced problem-solving and analytical skills in a genomic context.
Fee Structure
Standard Fee: INR 4,998 USD 110
Discounted Fee: INR 2499 USD 55
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesBatches
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Bioinformatician
- Genomic Data Analyst
- Clinical Research Coordinator
- Pharmaceutical R&D Scientist
- Biotechnology Consultant
- Academic Researcher in Genomics
Current Participants* Analytics
Country
Profession
Affiliation
Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.
Enter the Hall of Fame!
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
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Recent Feedbacks In Other Workshops
The course was more theoretical than practical.
nothing
