Biological Network Analysis & Systems Biology 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 intensive course is designed to provide participants with a comprehensive understanding of the principles and applications of network analysis and systems biology in biological research. Through a series of interactive lectures, hands-on workshops, and case studies, participants will learn how to utilize R programming for analyzing biological networks, conducting pathway analysis, and performing functional enrichment analysis. By the end of the training, participants will be equipped with the knowledge and skills needed to apply these advanced techniques in their own research projects, advancing their capabilities in the rapidly evolving 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

    Non-trait based WGCNA

    Trait-based WGCNA

    Protein-protein Interaction (PPI) network construction & analysis

    3-node Feed-forward loop (FFL) network construction & analysis

    Understanding gene co-expression network and dynamics

    Understanding the PPI network and dynamics

    Understanding the FFL network and dynamics

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.

    Hub co-expressed gene modules within gene co-expression network

    Pathways and enrichment analysis of hub module genes

    Driver miRNAs & TFs linked with hub module genes

    PPI network module and network characteristics

    Day 1 [60-90 mins]: Theory session including introduction to biological networks, algorithms, and graph characteristics. Installing all the software, packages, and pre-requisites before starting

    Day 2 [60-90 mins]:Gene co-expression network construction via WGCNA (non-trait & trait-based)

    Day 3 [60-90 mins]: PPI network construction and analysis

    Day 4 [60-90 mins: 3-node FFL network construction & analysis

    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)

    Cytoscape v3.10.1 (Download from this link:https://cytoscape.org/download_old_versions.html)

    limma

    DESeq2

    ggplot2

    NOISeq

    WGCNA

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..