Registrations are filling fast! Don’t miss your opportunity to join our upcoming hands-on workshops designed for students, researchers, clinicians, and professionals in the life sciences.
We’ve brought together a range of live, hands-on workshops covering today’s most in-demand areas in bioinformatics and data science. 👇 Explore the featured workshops below and find the program that best fits your learning goals.
📢 Closing Soon: Enroll Before It’s Too Late
We’ll cover key topics including:
Wet Lab Workflow for scRNA-seq: Step-by-Step Overview
Sample Preparation and Quality Control in Single-Cell Experiments
Data Retrieval from Databases: (GEO, ArrayExpress, Human Cell Atlas)
Introduction to Cell Ranger for Preprocessing | QC Metrics & Troubleshooting
Overview of Seurat for Downstream Analysis & Data Normalization
Cell Type Annotation using Public Datasets & Functional Analysis
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/38PniyAJuZC7567N6
We’ll cover key topics including:
Introduction to RNA-Seq Experimental Design & Data Preparation
Mapping Reads to the Reference Genome and Generating Alignment Files
Quantifying Gene Expression and Applying Normalization Techniques
Differential Gene Expression and Regression Analysis
Visualization of Differentially Expressed Genes (MA Plots, Volcano Plots, Heatmaps)
Identify Biologically Meaningful Patterns in Gene Expression Changes
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/4bSsNJhZSLhVKsWG7
We’ll cover key topics including:
Basics of Next-Generation Sequencing (NGS) for Metagenomics
Experimental Design & Sample Collection For Metagenomic Studies
Library Preparation (16S rRNA and Shotgun) & Sequencing Workflow
Introduction and overview of 16S rRNA Data Analysis Pipeline
FASTQ Processing Till Microbiome Identification and Classification
Alpha Diversity [Shannon/Simpson/Fisher/Chao1]; PCoA, Beta Diversity
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/78Jw27XL4bpnnV1t7
We’ll cover key topics including:
Navigate Genomics Databases and Retrieve Real Variant Data
Process Whole-Exome Sequencing Data From Raw Reads to Filtered Variants
Annotate and Classify Variants Using ACMG/AMP Evidence Codes
Integrate Whole-Exome Sequencing and RNA Evidence for Variant Classification
Produce a Clinical Research Report With Patient Case Summaries
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/ab1Sv1Vdz88EM8N4A
🚀 New Trainings Just Dropped: Are You Ready to Learn?
We’ll cover key topics including:
Understand the Fundamentals of cfDNA, ctDNA, and Liquid Biopsy
Perform Quality Control and Preprocessing of ctDNA Sequencing Data
Identify, Filter, and Annotate Genomic Variants
Analyze ctDNA Biomarkers and Genomic Alterations
Interpret ctDNA Data using Statistical and Survival Analysis
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/kwSd3SvYAivZwnQs8
We’ll cover key topics including:
Introduction to Metabolomics: From Discovery to Validation
Understanding Metabolites: Classes, Roles, and Extraction Procedures
Metabolomics Data Analysis and Visualization: From Raw Data to Key Insights
AI & ML in Metabolomics: Applications and Hands-On Training
Pathway Analysis: Biological Interpretation & Case Studies
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/Eb8snCqbSRPBL1EU8
We’ll cover key topics including:
Introduction to Drug Discovery Data: Molecules, Targets, & Activities
Working with Chemical Databases: PubChem; ChEMBL; Protein Data Bank
AI-Assisted Data Finding & Prompts for Data Discovery
Data Cleaning & Preparation: Duplicates; Missing Values; Invalid Structures
Introduction to Molecular Representations & Molecular Fingerprints
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/bntZVsbD7mS5cPn89
We’ll cover key topics including:
Navigate, Annotate, and Define Region of Interest on Whole Slide Images
Digitally Separate Stains and Segment Tissue and Cells
Automate Cell Detection and Biomarker Quantification
Apply Basic Machine-Learning Methods for Tissue Classification
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/nmp3QBXiu7PmXhA96
About The Program: This 7-week online hands-on program equips life science researchers with practical skills in bioinformatics, machine learning, systems biology, and in silico drug discovery. Through seven live expert-led sessions, participants will learn computational approaches for omics data analysis, biomarker discovery, network analysis, target prioritization, and AI-assisted biomedical research.
Faculty & Instructor: Prof. Graham, a Computational Biologist and AI/ML expert with 32+ years of experience in bioinformatics, systems biology, biomarker discovery, and international scientific training.
🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/qrHxGpAna2MGdgbHA
For queries, contact us at communication@omicslogic.com / support@omicslogic.com.