4.7
Category | Price |
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Fee for ALL CANDIDATES | $ 999 AUD |
BDG LifeSciences is a distinguished bioinformatics company established in 2010 and operates globally. Headquartered in India, the company specializes in facilitating workshops, training programs, novel and innovative research projects, and online courses in bioinformatics and life sciences. BDG LifeSciences is registered under the Ministry of MSME (Micro, Small, and Medium Enterprises), Government of India, with the registration number UDYAM-UP-01-0019151. Recently, BDG LifeSciences, India, has authorized BBR Group Pty Ltd., Australia (ACN 608 550 849), to operate its programs in Australia and New Zealand.
With a strong focus on the practical application of technology, BDG LifeSciences provides hands-on training where participants work on their own computers/laptops using specialized software and servers. The company has been a leader in this sector for the last 14 years, successfully educating a diverse range of participants, including students, scientists, faculty members, professors, and corporate executives worldwide.
Innovation & creativity is an integral part of the BDG Lifesciences and we always launch new programs on the newest topics. We have launched a 15-day Technical Hands-on Training Program in Next Generation Sequencing & RNA-Seq Data Analysis . It will be an extensive 15-day training program in which every day 60 minutes interactive training sessions will be conducted to give the user a unique learning experience. VIDEO RECORDING WILL BE PROVIDED. On successful completion of the course participation certificate will be awarded.
As it is 100% hands-on training program participants will run the processes on their own computer systems having Windows/ Mac/ Linux with a unique learning experience. The program will be of great help to students/ researchers/ faculty/ pathologists/ scientists in learning this latest technology.
Why This Course is Important?
This course provides essential knowledge and hands-on skills for mastering bioinformatics workflows, specifically in the context of next-generation sequencing (NGS) data analysis. With the rise of high-throughput technologies, the ability to process, analyze, and interpret large datasets is becoming crucial in biological research. Mastering command-line tools, scripting, and NGS techniques empowers researchers to handle vast amounts of genomic data more efficiently. RNA-Seq (RNA sequencing) is a powerful tool for transcriptome analysis, enabling researchers to study gene expression patterns across different tissues, conditions, or time points. By sequencing the total RNA from a sample, RNA-Seq provides a comprehensive view of the transcriptome, allowing for the quantification of gene expression, the identification of novel transcripts, and the detection of alternative splicing events.
Research Highlights RNA-Seq Analysis
Module Name |
Topics |
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Day 1 |
Module 1: Basic Linux command line |
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Day 2 |
Module 2: Advance Linux commands |
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Day 3 |
Module 3: Shell scripting |
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Day 4 |
Module 4: Introduction to NGS |
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Day 5 |
Module 5: Sequencing methods |
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Day 6 |
Module 6: Introduction to RNA seq and Basic Terminology |
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Day 7 |
Module 7: Genomics file format |
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Day 8 |
Module 8: Database & Quality Control |
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Day 9 |
Module 9: Alignment |
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Day 10 |
Module 10: UCSC genome browser |
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Day 11 |
Module 11: Statistical Analysis |
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Day 12 |
Module 12: DEG analysis |
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Day 13 |
Module 13: Functional Analysis |
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Day 14 |
Module 14: Visualization |
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Day 15 |
Module 15: Doubt clarification |
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After this course, you should be able to:
Student & Faculty: Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Microbiology, Biochemistry, Biotechnology, Immunology, Pharmacy, Pharmaceutical Chemistry, Biomedical Technology, Genetics, Bioinformatics, Plant Science and Life Sciences.
Professionals: Biotechnology, Bioinformatics and Pharmaceutical scientists from industry, academia, and regulatory agencies. Hands-on exercises will be performed individually using software tools (no prior experience required).
To secure your spot:
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