Academic Library
Curated Bioinformatics Resources
A hand-picked selection of high-impact data sources, industry-standard tools, and verified tutorials used in professional research labs.
Data Sources
Gene Expression Omnibus (GEO)
bothNIH repository for functional genomics data with over 100,000 bulk RNA-seq studies.
Genotype-Tissue Expression (GTEx)
bulkComprehensive atlas of gene expression across 54 human tissues from healthy individuals.
The Cancer Genome Atlas (TCGA)
bulkMulti-omics data from 33 cancer types including RNA-seq from tumor and normal samples.
Human Cell Atlas
single-cellComprehensive reference of human cell types with high-quality annotated single-cell datasets.
Tabula Sapiens
single-cellHuman single-cell transcriptomic atlas with 500,000+ cells across 24 tissues.
Analysis Tools
DESeq2
bulkGold standard for differential gene expression analysis in bulk RNA-seq data.
STAR Aligner
bothUltrafast universal RNA-seq aligner with splice-aware mapping capabilities.
Seurat
single-cellComprehensive toolkit for single-cell genomics analysis and visualization.
Scanpy
single-cellScalable toolkit for analyzing single-cell gene expression data.
Learning Materials
Bioconductor Workflows
bothStep-by-step tutorials for RNA-seq analysis using R/Bioconductor packages.
Single-cell Best Practices
single-cellComprehensive tutorial on current best practices in single-cell RNA-seq analysis.
Orchestrating Single-Cell Analysis
single-cellOnline book covering single-cell RNA-seq analysis with R/Bioconductor.
Enrollment
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This is an intensive, hands-on program for serious researchers. Limited to 20 participants to ensure personalized mentorship and accountability.
Selection Criteria
Session times and cohort start dates coordinated based on mentor and participant availability.
Pay by 5th of each month
June Flash Offer: Join by June 25
Fee is non-negotiable.
Enrollment Process
Applications reviewed within 7 days. Cohort confirmed 2 weeks before start date.
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