OmicsLogic Transcriptomics Data Analysis for Biomedical Data is an online mentor-guided program on next-generation sequencing (NGS) data analysis in application to gene expression data with project examples from infectious diseases, cancer & neuroscience. This program will introduce students to real-world applications of RNA-seq Data Analysis in biomedical research and provide hands-on skills and logical background to extract insights from gene expression data.
First, we will review methods and the history of quantitative and qualitative analysis of mRNA expression. Practical sessions will guide participants to use the methods we reviewed on several project datasets to practice generating a table of expression from raw fastq files. This is followed by downstream analysis using simple statistical comparison (t-test), complex statistical comparison (DESEQ2), and advanced statistical methods (unsupervised & supervised machine learning) to derive and interpret important biological insights.
The mentor-guided training & research program will be conducted through Online coursework, video tutorials, and session recordings on OmicsLogic Learn Portal and scheduled live sessions via Zoom. For the analysis of transcriptomics data, students will also have access to the T-BioInfo Platform which combines statistical analysis modules into bioinformatics pipelines. To practice R and Python for data analysis, students will receive access to OmicsLogic Code Playground. At the end of the program completion, students have the opportunity to continue their learning journey in transcriptomics through advanced coursework, example projects, and even an opportunity to carry out an independent bioinformatics research project with the possibility to publish.
To learn more, we welcome you to watch the videos below by our expert mentors and register for a free orientation session:
Transcriptomics for Drug Discovery Webinar
Transcriptomic Data Analysis in R
Method of the year by Nature: Spatially Resolved Transcriptomics - By Lisa, TBRC
Transcriptomics Project Examples:
○ Mapping raw reads to reference genome and transcriptome
○ Detecting junctions and assembly of isoforms
○ Quantification of mRNA: Gene, isoform and exon expression table
○ DIfferential gene and isoform expression
○ Hypothesis testing, p-values, and normalization
○ Multivariate analysis using regressio
○ Data exploration using dimensionality reduction and clustering
○ Classification and discriminant analysis for labeled datasets
○ Cancer subtypes based on gene expression (breast cancer classification)
○ Techniques and protocols for scRNA-seq data preparation
○ Major analytical steps for processing raw single cell sequencing data
○ Analytical techniques to visualize and cluster scRNA-seq data
What's Included?
Below are the payment checkout links for the tenures mentioned above:
Note: For Low-Income Countries scholarship opportunities are available, please reach out to us and our team at: marketing@omicslogic.com and we will find the best possible way for you to participate and get the best outcomes from the training program.
We also have the option for financial assistance with weekly/monthly installment options.
+91-9876134120
Program Syllabus : Transcriptomics
SESSIONS TITLE | DESCRIPTION |
![]()
|
Introduction to NGS Transcriptomics
|
![]()
|
Processing Transcriptomics Data
|
![]()
|
Precision Medicine Projects
|
![]()
|
Loading RNA-Seq data in R and Python
|
![]()
|
Normalization and Preparation for Analysis
|
![]()
|
Data Visualization in R and Python
|
![]()
|
Exploratory Analysis
|
![]()
|
Differential Gene Expression
|
![]()
|
Regression Analysis
|
![]()
|
Biological Interpretation
|
![]()
|
Single Cell RNA-Seq methods and analysis approaches for cell type decomposition
|
![]()
|
Case Studies
|
Example Projects & Research Projects by OmicsLogic Research Fellows
Insilico analysis of Affected Biological Pathways in MS: By Rutvi Vaja, Biomedical sciences student at Narvachana University, India
Analysis of Variants in Genomic Landscape for Cancer Immunotherapy: By Sanskrita Sukla
Investigating Transcriptomic Landscape of Patients to Track Tuberculosis Disease Progression: By Aman Kaur, Master's Bioinformatics Student at Amity University, Noida, India
Transcriptomic analysis of DNA damage response in zebrafish embryos under simulated microgravity: By Subrajit Barua, PhD Student at ITMO University, Russia
Bioinformatics approach to analyze variants in Retinitis Pigmentosa: By Jeevanjot Kaur, BTech Biotechnology Student at Amity University, Noida, India
Application of Transcriptomics and Machine Learning to Post-mortem Interval Estimation: By Sara Zapico, Ph.D. Student at Florida University, USA
Register for the Upcoming Webinar Session:
.jpg)
.jpg)

Below are the payment checkout links for the tenures mentioned above:
Note: For Low-Income Countries scholarship opportunities are available, please reach out to us and our team at: marketing@omicslogic.com and we will find the best possible way for you to participate and get the best outcomes from the training program.
We also have the option for financial assistance with weekly/monthly installment options.
+91-9876134120
Resources and Training Session Examples

![]() |
![]() |
![]() |
![]() |
![]() |
Learn how to analyze RNA-Seq data on the T-BioInfo platform | Understand methods and approaches for RNA-seq | Start running R code for visualization and analysis | Learn Python code for visualization and analysis | Explore Project Case Studies in various topics |


