GitHub, Molecular Modeling & Simulation, RNA-Seq, Proteomics, Cancer Genomics & MORE: Upcoming Hands-On Workshops

Mid-May introduces a new lineup of mentor-guided workshops 📚✨ focused on practical learning, industry-relevant workflows, and hands-on experience, designed for students, researchers, and professionals looking to expand their bioinformatics skills.

Check out our full workshop lineup below 👇

We’ll cover key topics including:

• Introduction to Clinical Genomics & NGS Technologies

• NGS Data Quality Control, Alignment & Variant Calling Pipeline

• Clinical Variant Classification; ACMG/AMP Guidelines

• Variant Annotation, Functional Analysis & Clinical Databases

• Clinical Reporting, Genetic Counseling & Real-World Case Studies

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/E2E7oqMsdPRobbmx7

We’ll cover key topics including:

• Public Data Resources: The Cancer Genome Atlas and NCBI GEO

• Data Preprocessing & Differential Expression Analysis (DESeq2)

• Machine Learning, Feature Selection & Clinical Validation

• Co-expression Network Construction and Pathway Enrichment.

• Functional Enrichment of Target Genes and Biological Significance

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/dSqnyuRb4RYJmGqJA

We’ll cover key topics including:

• Extracting Data from Repositories (NCBI, GEO, and SRA)

• Data Preparation, Normalization, and Dimensionality Reduction

• Differential Expression Analysis and Pathway Enrichment

• Enrichment Analysis using Reactome and KEGG, Interpreting Pathways.

• Protein-Protein Interaction (PPI) Networks and Hub Gene Analysis

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/vBKngGAMfKejkkAJ8

We’ll cover key topics including:

• Introduction to Next-Generation Sequencing and Omics Technologies

• Next-Generation Sequencing Workflow & Sample Preparation Essentials

• Library Preparation Techniques for DNA & RNA

• Hands-On Whole Exome Sequencing Data Analysis

• ACMG Guidelines Everview; Variant Prioritization Strategies

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/SMexf9AGnvbNAGpy8

We’ll cover key topics including:

• AI in Clinical Trials and where ML is used in Pharma, CRO & Biotech

• Structured, Unstructured, and Operational Clinical Trial Data Overview

• Data Wrangling, Exploratory Data Analysis, & Feature Engineering

• Building a Patient Dropout Prediction Model using scikit-learn

• Role of Natural Language Processing in Automating Safety Review

• Transformer-based models: BERT, ClinicalBERT & BioBERT

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/kPhv2e6buqdb5eD17

We’ll cover key topics including:

• Introduction to R coding for omics data analysis (R, RStudio, Google Colab)

• Data import and preprocessing techniques (Base R, tidyverse)

• Creating and customizing visualizations (ggplot2)

• Performing statistical tests like t-tests and ANOVA

• Bioconductor packages for gene expression analysis (limma, DESeq2)

• Conducting pathway and enrichment analysis (clusterProfiler)

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/kARjd4o5g71T3ZrL7

We’ll cover key topics including:

• Introduction: Molecular Modeling, Molecular Dynamics Simulations

• Sequence to Structure: Protein Structure Prediction and Preparation

• Ligand Preparation and Molecular Docking

• Analyzing Simulation Trajectories and Refinement

• Advanced Topics and Current Trends in Modeling & Dynamics

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/9tMuFo5TwJS3tftQ6

We’ll cover key topics including:

• Mass Spectrometry-Based Proteomics: Principles and Innovations

• Proteomics Data Processing and Visualization (Heatmaps, Volcano Plots, PCA)

• Protein-Protein Interaction Networks & Systems Analysis (Cytoscape, STRING)

• Machine Learning and Feature Selection in Proteomics

• Cancer Immunotherapy | Immunotherapeutic Targets Using Proteomics

• Hands-On Interpretation of LC-MS/MS Proteomics Data

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/dptrxdTm1J5G5WUN8

We’ll cover key topics including:

• Foundations of Cancer Genomics (Key Examples: KRAS, TP53, BRAF)

• Hands-on exploration of COSMIC, TCGA, and cBioPortal Databases

• Data Extraction Methods & Result Interpretation; Case Studies

• Using IGV (Integrative Genomics Viewer) to Inspect Variants

• Automated Variant Annotation Pipelines (e.g., VEP, SnpEff)

• Oncoplot Generation; Lollipop Plots; Mutation Burden Analysis

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/3GPoVrHxFpGvBt6HA

We’ll cover key topics including:

• Master essential Git/GitHub Workflows for Bioinformatics

• Create a Professional GitHub Profile that Showcases Research Impact

• Master Prompt Engineering: Introduction to LLM-Assisted Coding

• Prepare Repositories for Community Use and Contribution

• Implement Collaborative Development Workflows

🔗 Register to access the complete curriculum and receive assistance from our team: https://forms.gle/SPmhPFgD21LYJkCy6

🌟 Thousands of students and researchers worldwide have already taken the leap - building real skills, tackling real data, and unlocking real opportunities with OmicsLogic. 💻🔬 With hands-on training and dedicated mentors by your side, there’s nothing stopping you from doing the same.

👉 Join the OmicsLogic community today and start your journey: https://omicslogic.com