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🎓 Open Bioinformatics Curriculum 14 Specialized Guides Molecular Biology • Sequencing Physics • Algorithmic Modeling

Bioinformatics & Omics Educational Tracks

The open-access curriculum for computational biologists and life scientists. Master molecular genetics, optical and electrical sequencing chemistry, de novo graph assembly algorithms, quantitative RNA-seq expression modeling, single-cell epigenetics, and metagenomics.

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Curriculum Architecture

Figure 1.0: End-to-End Bioinformatics Educational Progression & Knowledge Pillars

Interactive Curriculum Flow

The curriculum is architected into 5 progressive tiers: mastering sequencing biochemistry and detection physics first, followed by primary read processing, assembly graph algorithms, secondary statistical modeling, and multi-omics functional integration.

TIER 1: Molecular Architecture & Chemistries DNA/RNA Extraction • Library Prep • Illumina SBS • Nanopore Resistors • PacBio ZMWs • Ion ISFET TIER 2: Quality Filtering & Primary Alignment Phred Q-Scores • Adapter Clipping (fastp) • FM-Index • BWA-MEM2 • Minimap2 • STAR Spliced Mapping TIER 3: Assembly Graphs & Structural Annotation De Bruijn Graphs (DBG) • OLC String Graphs • Haplotype Phasing (hifiasm) • Ab Initio Gene Finding • EVM TIER 4: Secondary Quant & Genetic Variation GATK4 HaplotypeCaller • DeepVariant CNN • DESeq2 GLM • Alternative Splicing (rMATS) • Structural Variants TIER 5: Multi-Omics Synthesis & Evolutionary Biology Epigenomics (ChIP/ATAC/5mC) • Shotgun Metagenomics (MAGs) • Synteny & Orthology • GSEA Pathway Networks

Curriculum Guides & Modules

Select an educational track below to begin reading the authoritative, illustrated guide.

14 Comprehensive Tracks
Track 1 • Core 8 Modules • 25 min read

Genomics: Architectural Blueprint of Heredity →

Eukaryotic chromosome compaction, nucleosome geometry, non-coding promoters and enhancers, transposon dynamics, and the genetic variation spectrum (SNVs, indels, SVs, and CNVs).

Core Stack: BWA-MEM2, samtools, GATK4, DeepVariant, IGV
Read Genomics Guide →
Track 2 • RNA-Seq 6 Modules • 22 min read

Transcriptomics: Dynamic Gene Expression →

Pre-mRNA splicing, alternative transcript isoforms, RNA-seq library construction (polyA vs Ribo-Zero), count normalization (TPM, FPKM, size factors), and negative binomial GLM testing.

Core Stack: STAR, Salmon, DESeq2, edgeR, rMATS, clusterProfiler
Read Transcriptomics Guide →
Track 3 • Platforms Hub Comprehensive • 30 min read

DNA Sequencing Platforms & Chemistries →

From Sanger dideoxy chain termination to massively parallel second-generation short reads and single-molecule third-generation long reads. Physical signal transduction and Phred quality scores.

Platforms: Illumina NovaSeq X, PacBio Revio, ONT PromethION, Ion S5
Explore Sequencing Hub →
Platform Focus Illumina SBS • 18 min read

Illumina Sequencing by Synthesis (SBS) →

Surface clustering via Exclusion Amplification (ExAmp), fluorescent reversible terminators, 2-color XLEAP optical detection, phasing error correction, and high-throughput NovaSeq X architecture.

Key Specs: 150-300 bp reads, >99.9% (Q30-Q40), 16-25 Tb per run
Read Illumina Guide →
Platform Focus Nanopore • 20 min read

Oxford Nanopore: Resistive Pulse Sensing →

Synthetic membranes, R10.4.1 protein pore channels, translocase motor ratcheting, raw current squiggles, deep learning Dorado basecallers, native 5mC methylation, and ultra-long reads up to 2 Mb.

Key Specs: Reads up to 2 Mb, direct native RNA, real-time Read-Until
Read Nanopore Guide →
Platform Focus PacBio HiFi • 18 min read

PacBio SMRT & Circular Consensus HiFi →

Zero-Mode Waveguides (ZMWs), phospholinked hexaphosphate nucleotides, SMRTbell hairpins, Circular Consensus Sequencing (CCS) passes, statistical error elimination, and >99.9% HiFi accuracy.

Key Specs: 15-25 kb reads, >99.9% (Q30+) accuracy, Revio 360 Gb/run
Read PacBio Guide →
Platform Focus Ion Semiconductor • 15 min read

Ion Torrent: Semiconductor pH Sensing →

Micro-machined ISFET semiconductor well arrays, un-terminated cyclic dNTP injection, hydrogen ion (H+) release detection, homopolymer non-linearity, and targeted oncology panels.

Key Specs: 200-400 bp reads, 2-4 hour turnaround, AmpliSeq panels
Read Ion Torrent Guide →
Track 4 • Assembly Algorithms • 24 min read

De Novo Genome Assembly & Graph Theory →

De Bruijn graphs (DBG) vs Overlap-Layout-Consensus (OLC) string graphs, k-mer counting with GenomeScope, repeat resolution, diploid phasing with hifiasm, Hi-C scaffolding, and BUSCO completeness.

Core Stack: hifiasm, Flye, SPAdes, YaHS, BUSCO v5, Bandage
Read Assembly Guide →
Track 5 • Annotation Gene Models • 20 min read

Structural & Functional Genome Annotation →

RepeatMasker transposable element masking, ab initio Hidden Markov gene predictors (Augustus, GeneMark), RNA-seq spliced evidence integration with BRAKER3, eggNOG-mapper, and GFF3 formatting.

Core Stack: RepeatMasker, BRAKER3, StringTie, InterProScan, GFF3
Read Annotation Guide →
Track 6 • Evolution Synteny • 22 min read

Comparative Genomics, Synteny & Evolution →

Orthologs vs paralogs, whole-genome synteny block conservation, Ka/Ks (dN/dS) selection pressure testing, chromosomal rearrangement breakpoints, and pangenome graph reference models.

Core Stack: OrthoFinder, MCScanX, Cactus, KaKs_Calculator, vg
Read Comparative Guide →
Track 7 • Epigenetics Chromatin • 22 min read

Epigenomics: Methylation, Histones & ATAC-Seq →

5-methylcytosine CpG methylation (WGBS/EM-seq), post-translational histone modifications (H3K4me3, H3K27ac), ChIP-seq vs CUT&Tag, transposase chromatin accessibility (ATAC-seq), and MACS3.

Core Stack: MACS3, deepTools, Bismark, MethylDackel, ChromHMM
Read Epigenomics Guide →
Track 8 • Microbiome 16S & Shotgun • 24 min read

Metagenomics: Complex Microbiomes to MAGs →

16S amplicon denoising and exact ASVs with DADA2, alpha/beta diversity ordination, ultra-fast shotgun k-mer taxonomic profiling (Kraken 2/Bracken), contig binning with MetaBAT 2, and CheckM 2.

Core Stack: DADA2, QIIME 2, Kraken 2, Bracken, MetaBAT 2, CheckM 2
Read Metagenomics Guide →
Track 9 • Pathways Enrichment • 18 min read

Functional Genomics: Pathway Mining & GSEA →

From gene lists to biological mechanisms: Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA running sum score), Gene Ontology hierarchies, and KEGG/Reactome networks.

Core Stack: clusterProfiler, fgsea, STRING, ReactomePA, Cytoscape
Read Functional Guide →
Hands-On Applied Tracks Python • R • Linux

Applied Programming & Production Workflows

Translate conceptual foundations into production scripts. Explore our full companion curricula: Python for Next Gen Biologist, R with Bioconductor & Seurat, and Linux command-line mastery.

View All 10 Courses →
Technical Benchmark

Modern Sequencing Technologies & Physical Specifications Benchmark

Rigorous comparison of commercial sequencing platforms. Data reflects current production specifications including NovaSeq X XLEAP chemistry, PacBio Revio HiFi throughput, and Oxford Nanopore R10.4.1 modal accuracy.

Platform / VendorPhysical ChemistryRead LengthConsensus AccuracyRun ThroughputPrimary Applications
Illumina NovaSeq X PlusSequencing by Synthesis (SBS) • 2-Color Optical Reversible Terminators2 × 150 bp PE>85% ≥ Q30 (up to Q40)16 - 25 Tb / runPopulation WGS, Bulk RNA-Seq, Exome, ChIP-Seq
PacBio RevioSingle-Molecule Real-Time (SMRT) • Zero-Mode Waveguides (ZMW)15 - 25 kb HiFi>99.9% (Q30+ HiFi)360 Gb / runTelomere-to-Telomere Assembly, Full SVs, Native 5mC
Oxford Nanopore PromethIONResistive Pulse Electrical Sensing • R10.4.1 Protein Nanopores10 kb up to 2.3 Mb (Ultra-Long)99% modal (Q20-Q28)7 - 14 Tb / runDirect RNA, Complex Repeat Spanning, Real-time Field Detection
Ion GeneStudio S5Ion Semiconductor • ISFET Sensor Detecting H+ pH Shifts200 - 400 bp99% (Q20-Q30)15 - 50 Gb / runRapid 2-4 hr Targeted Oncology Panels (AmpliSeq)
Element Biosciences AVITIAvidity Sequencing • Multivalent Fluorescent Polymers2 × 150 bp PE>90% ≥ Q401 - 2 Tb / runUltra-High Accuracy Short Read WGS & Single-Cell