Microarray and RNA-Seq Expression Data Analysis using R Training

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 & innovative research projects, and online courses in technologies of bioinformatics & life science. The company 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 & New Zealand.

With a focus on practical application of technology, where participants work on their own computer/laptop on software/servers, BDG LifeSciences has been a leader in the sector for the last 14 years.

Since its inception, BDG LifeSciences has successfully educated a diverse range of participants globally, including students, scientists, faculty members, professors, and corporate executives. To view the pictures of our previous events click here-1 and click here-2. To view, the listing of upcoming events kindly click here and our previous workshops can be viewed here. To view the video feedback of our previous events kindly visit our YouTube Channel

Innovation & creativity is an integral part of BDG Lifesciences and we always launch new programs on the newest topics. Now advancing in the technology of Biological Network & Systems Biology we have launched a 4-day complete hands-on Online Training Program in Biological Network Analysis & Systems Biology using R | Pathway and functional enrichment analysis.

This comprehensive course is designed to provide participants with a deep understanding of the principles and practical applications of analyzing gene expression data. Over the next four days, you will dive into the world of microarray and RNA-Seq data analysis, learning how to preprocess, visualize, analyze, and interpret high-throughput gene expression data using the R programming language. Whether you are a beginner looking to build a solid foundation or an experienced researcher aiming to enhance your skills, this training program will equip you with the knowledge and tools necessary to excel in the field of computational biology.

Video recording of each session will be provided at the end of the session to give the user a unique learning experience. On successful completion of the course participation certificate will be awarded.

    Introduction

    Microarray & RNA-Seq data retrieval

    Data pre-processing and cleaning

    Differential gene expression analysis

    Meta-analysis of multiple datasets

    Understanding microarray & RNA-Seq data 

    Understanding the pre-processing to advanced level

    Gene expression in two different conditions or sample groups

    Meta-analysis of more than two datasets

This session will be conducted online on Google Meet/Zoom/Microsoft Teams of which link will be sent to you 2 hours before the start of the session.

    Various statical methods of normalization and pre-processing

    How differentially expressed genes can classified as oncogenes or tumor suppressors?

    Data interpretation

    How to handle multiple datasets at once?

    Day 1 [60-90 mins]: Theory session including introduction to Microarray & RNA-Seq data types, pre-processing algorithms, QC plots understanding. Installing all the software, packages, and pre-requisites before starting

    Day 2 [60-90 mins]: Microarray data analysis and DEGs identification

    Day 3 [60-90 mins]: RNA-Seq data analysis and DEGs identification

    Day 4 [60-90 mins: Meta-analysis of multiple datasets and DEGs identification

    Any OS (Windows/Mac/Ubuntu) with internet connection

    R 4.3.3 (Download from this link: https://cran.r-project.org/)

    RStudio (Download from this link: https://posit.co/download/rstudio-desktop/)

    Rtools44 (Download from this link: https://cran.r-project.org/bin/windows/Rtools/rtools44/rtools.html)

    limma

    DESeq2

    ggplot2

    NOISeq

Student: Bachelor, Masters, PhD, MBBS, MD students as well as Faculty and Professors from Microbiology, Biochemistry, Biotechnology, Immunology, Medicine, Pharmacy, Pharmaceutical Chemistry, Biomedical Technology, Genetics, Bioinformatics, Plant Science and Life Sciences.

Professionals: Resident Doctors, Biotechnology, Bioinformatics, Medicine and Pharmaceutical scientists from industry, academia, and regulatory agencies. Hands-on exercises will be performed individually using software tools on your own laptops. (no prior experience required).

Mr. Prithvi Singh, Technical Associate, BDG Lifesciences is a highly skilled computational biologist with a strong background and passion for the field. He has authored over 40 research publications in prestigious international peer-reviewed journals. His expertise lies in RNA-Seq and microarray data analysis, biological network analysis, univariate & multivariate survival analysis, and cancer genetics. Throughout his career, he has collaborated with leading professionals, scientists, faculties, and doctors from around the world on various research projects. He plays an active role in designing new computational biology pipelines to advance the field..