Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The transformative 12-week Next Generation Sequencing Technologies: Data Analysis and Applications certification course explores the groundbreaking impact of NGS technologies on Bioscience, Biotechnology, and Medicine. Participants gain hands-on experience in analyzing genomic and transcriptomic data, focusing on single nucleotide polymorphisms (SNPs), indels, and the complexities of transcriptomic analysis.
With industry support from genomics companies, the Next Generation Sequencing Technologies: Data Analysis and Applications certification by Swayam caters to students, faculty, and industry professionals, requiring a basic understanding of programming and statistics. Upon completion, participants receive 3 credit points, positioning them for success in the dynamic fields of genomics and computational biology.
Also Read: Online Data Analysis Certification Courses
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 1000 | yes | IIT Kharagpur |
The Next Generation Sequencing Technologies: Data Analysis and Applications certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centers, which is optional and comes with a fee of Rs 1000.
Next Generation Sequencing Technologies: Data Analysis and Applications Certification Fee Structure
Particulars | Total Fees |
Next Generation Sequencing Technologies: Data Analysis and Applications (exam) | Rs 1000/- |
Academic Qualifications
The Next Generation Sequencing Technologies: Data Analysis and Applications certification course is intended for students, faculty, and industry professionals, requiring a basic understanding of programming and statistics as prerequisites.
Certification Qualifying Details
To receive the Next Generation Sequencing Technologies: Data Analysis and Applications certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.
After completing the Next Generation Sequencing Technologies: Data Analysis and Applications certification syllabus, you will delve into the revolutionary world of genomic, transcriptomic, and epigenomic data analysis. You will also gain a comprehensive understanding of how to systematically analyze NGS data, focusing on the identification of single nucleotide polymorphisms (SNPs) and indels.
Upon completion of the Next Generation Sequencing Technologies: Data Analysis and Applications training, you will gain practical skills through hands-on experience in navigating the complexities of transcriptomic data analysis, unravelling gene expression patterns, and deciphering regulatory elements.
The Next Generation Sequencing Technologies: Data Analysis and Applications online course is suitable for individuals interested in gaining skills and knowledge in Next Generation Sequencing (NGS) technologies and data analysis. This course is particularly beneficial for:
Follow these steps to join the Next Generation Sequencing Technologies: Data Analysis and Applications classes:
Step 1: Browse the URL below:
https://onlinecourses.nptel.ac.in/noc23_bt34/preview
Step 2: Click on the “Sign-in/ Register” button
Step 3: Fill out the necessary details and submit the form
Next Generation Sequencing (NGS) Technologies
NGS data formats and data quality check (QC)
Hands-on tutorial 1 - NGS data and quality check
Read Mapping Algorithms
Read Mapping Tool Hands-on and SAM files
Variant detection and CNV analysis
RNA sequencing experiment and data processing
Differential expression analysis and multiple hypothesis testing corrections
Gene Ontology (GO) and pathway enrichment analysis
Hands-on tutorial 2 – RNA-seq data processing and differential expression analysis
Genome assembly algorithms
Application of NGS in epigenomic studies
The Next Generation Sequencing Technologies: Data Analysis and Applications certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).
A basic understanding of programming and statistics is recommended as prerequisites for this course.
Yes, the course is designed for students, faculty, and industry professionals across various backgrounds, providing a comprehensive introduction to NGS technologies and data analysis.
The course spans 12 weeks, covering topics such as genomic and transcriptomic data analysis, single nucleotide polymorphisms (SNPs), indels, and other applications of NGS technologies.
Yes, participants will earn 3 credit points upon successfully completing the course, highlighting their achievement and commitment. The course also has industry support from genomics companies, ensuring its practical relevance.
Completing this course will equip you with essential skills for careers in genomics, computational biology, and biotechnology. The hands-on experience and industry-supported content make you well-prepared for various roles.