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🧬 Genomics & Bioinformatics Pipelines

Genomics & Bioinformatics Pipelines are computational workflows designed to process, analyze, and interpret large-scale genomic data. These pipelines include steps for data preprocessing, alignment, variant calling, functional annotation, and downstream analysis, enabling researchers to extract meaningful insights from complex genetic information.

12 simulations60 fps real-time0 install steps
Precision Medicine: Genomic ProfilingNew📱Walks through how genomic profiling - variant calling, biomarker matching and… Similarity Network Fusion 2D: Multi-Omics Patient SubtypingNew📱A 2D matrix-and-graph view of Similarity Network Fusion (SNF): watch per-layer… Copy Number Variant Read-Depth DetectorNew📱Simulate whole-genome sequencing read-depth data across a chromosome and detect copy-number… Genome AssemblyNew📱Simulate shotgun sequencing where reads are shredded from a genome, randomly positioned with… Genome AssemblyNew📱Explore de Bruijn graph assembly by chopping reads into k-mers, creating nodes for… Similarity Network Fusion: Multi-Omics Patient SubtypingNew📱Fuse genomic, transcriptomic and proteomic patient-similarity networks with the Similarity… Copy Number Variant Read-Depth DetectorNew📱Simulate whole-genome sequencing read-depth data across a chromosome and detect copy-number… Multi-Omics Data Integration DashboardNew📱Integration of genomic, transcriptomic, and proteomic data into a unified disease model. Whole Genome Sequencing Variant Calling PipelineNew📱A pipeline for variant calling from raw sequencing reads (FASTQ to VCF). Polygenic Risk Score Disease PredictionNew📱Calculation of polygenic risk scores for multifactorial diseases. GWAS Manhattan Plot Association ExplorerNew📱An interactive Manhattan plot for exploring genetic associations with diseases using GWAS… Long-Read Nanopore Sequencing Base-CallingNew📱Real-time base calling of signals from nanopore sequencing reads.
About the category

Genomics & Bioinformatics Pipelines

Genomics & Bioinformatics Pipelines are computational workflows designed to process, analyze, and interpret large-scale genomic data. These pipelines include steps for data preprocessing, alignment, variant calling, functional annotation, and downstream analysis, enabling researchers to extract meaningful insights from complex genetic information.

Three.js · WebGL 60 FPS CC BY 4.0
Quick facts
12interactive simulations in this category
⚡runs at 60 FPS in any modern browser
🌐English, Ukrainian, Polish, Spanish, German, Japanese, Italian, Portuguese (Brazil), French, Arabic, Dutch, Chinese, Korean, Hindi, Turkish, Vietnamese, Russian, Indonesian, Persian, Bengali, Thai, Filipino, Swahili, Urdu, Malay, Tamil, Hebrew, Greek, Punjabi, Amharic, Burmese, Khmer, Georgian, Nepali, Mongolian, Armenian, Sinhala, Lao, Czech, Romanian, Hungarian, Bulgarian, Swedish, Danish, Finnish, Norwegian, Slovak, Croatian, Serbian, Slovenian, Lithuanian, Latvian, Estonian, Icelandic, Albanian, Macedonian, Bosnian, and Maltese
🎓CC BY 4.0 — free for classrooms and LMS embeds

Frequently asked questions

Do I need to install anything to run Genomics & Bioinformatics Pipelines simulations?▾

No. Everything runs entirely in your browser — no downloads, plugins or accounts. Works in Chrome, Firefox, Edge and Safari; most simulations also work on mobile.

Can I use these simulations for teaching?▾

Yes — all content is free for educational use under CC BY 4.0. Link to any simulation directly or embed it in your LMS with an iframe; no API key required.

Are the models scientifically accurate?▾

They use the same mathematical formulations as professional software, integrated numerically in real time. Each simulation lists its algorithms, and many link to an article explaining the mathematics.

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