Hands-On Workshops on Multi-Omics, Computational Pathology, Machine Learning, Metagenomics, Liquid Biopsy & MORE!

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.

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

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.