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OmicsLogic’s Substack · Feb 18, 2026

New Training Launches: Computational Pathology, Machine Learning, Drug Discovery, Plant Transcriptomics & More!

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OmicsLogic · OmicsLogic’s Substack

The fields of genomics, proteomics, artificial intelligence, and biomedical data science are evolving rapidly — and staying ahead requires practical, hands-on expertise.

We’re excited to announce a new lineup of industry-relevant, skill-focused training workshops and programs designed for researchers, clinicians, students, and professionals who want to strengthen their expertise. Check them out below 👇:

We’ll cover key topics including:

  • Concept, Application, and Stages of the Metaproteomics Workflow

  • Proteomics Data Sources and Repository

  • Metaproteomics Data Processing & Identification

  • Quantitative Analysis & Functional Annotation

  • Proteomics Pipeline with the MSFragger Search Engine

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/J3VxNDa86Z1WQ7dp6

We’ll cover key topics including:

  • Foundations of NGS & Laboratory Workflow in Oncology

  • Data Processing, Pipelines & Computational Workflows; Annotation & Visualization

  • Interpretation, & Clinical Decision-Making; ACMG/AMP Guidelines

  • Communication, Ethics & Patient-Centric Genomics; Pre- & Post-Test Counseling

  • Integrating Reports into Tumor Board Decisions: Case-Based Discussion

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/Mm7bHuF42fd5in47A

We’ll cover key topics including:

  • Introduction to NGS Technologies & Applications in Bacterial Genomics

  • De novo assembly vs. Reference-based Mapping Approaches

  • Assembly Tools (SPAdes, Velvet) | Reference Mapping with BWA and Bowtie2

  • Predicting Genes and Functional Elements | Rapid Annotation with Prokka

  • Annotate Assembled Genome & Explore Findings with Visualizations

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/ZYomiuo8dHTTtgmLA

We’ll cover key topics including:

  • Overview of Machine Learning Concepts and Definitions

  • Types: Supervised; Unsupervised; Semi-supervised; & Reinforcement learning

  • Python for Data Science (Hands-On Programming)

  • Building Predictive Models (End-to-End Implementation)

  • Hands-on Session: Capstone Project: Build Your First ML Models

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/ek9R8yKJxSsZH6FD8

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/chh9AcA5Ko9ELXeL9

We’ll cover key topics including:

  • Explain How Sequencing and Genetic Variants Relate to Disease

  • Work with FASTQ and VCF Data Files

  • Navigate Genomic Databases for Evidence and Interpretation

  • Understand How AI Supports Variant Calling

  • Run a Simplified Genomics Analysis Pipeline

  • Interpret and Report Clinically Relevant Findings

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/bkwK8mcaSUnVcG3T8

We’ll cover key topics including:

  • Load, Visualize, and Analyze Molecules using RDKit

  • Run Pre-Trained AI Models for Property and ADMET Prediction

  • Interpret Prediction Scores, Confidence, and Limitations

  • Perform Molecular Similarity Searches to Explore Related Compounds

  • Use No-Code Online Tools for Quick Molecular Assessment

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/YskP9ckSXDuPnKVX8

We’ll cover key topics including:

  • Perform Basic Data Analysis and Visualization in R

  • Design and Evaluate Plant RNA-Seq Experiments

  • Understand RNA-seq Library Preparation and Sequencing Output

  • Process Raw RNA-Seq Data through Alignment and Quantification

  • Perform Differential Expression Analysis & Functional Annotation

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/8RVZGYVi55DE7tXH6

At OmicsLogic, students and researchers worldwide gain hands-on experience, build real research skills, and connect with dedicated mentors who guide them every step of the way. 💻🔬 Whether you’re just starting or looking to take your expertise to the next level, our supportive community is here to help you succeed.

👉 Join the OmicsLogic community today and start your journey:

https://omicslogic.com

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