Tag: reproducible bioinformatics
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Setting Up Single-Cell RNA-seq Analysis Environment with Pixi: 10x Faster Setup, Zero Version Conflicts
This tutorial is contributed by Giang Nguyen, a bioinformatics scientist and engineer working across genomics, proteomics, molecular modeling, HPC, and AI/ML. He has led large‑scale multi‑omics platform development at DNANexus and DataXight, and he is the creator of RIVER, a scalable, AI‑ready infrastructure for reproducible biomedical data analysis. Introduction: Why Environment Management Is Critical for
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Recent Posts
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- How to Analyze Single-Cell RNA-seq Data from Patient-Derived Xenograft (PDX) Models — Complete Beginner’s Guide Part 8: Processing Human-Mouse Mixed Samples
- How to Analyze Single-Cell RNA-seq Data – Complete Beginner’s Guide Part 7: Trajectory and Pseudotime Analysis Using Monocle 3
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Alternative Splicing Analysis ATAC-seq BAM cancer genomics ChIP-seq chromatin accessibility CNV DESeq2 Differential Expression edgeR FASTQ GATK Mutect2 gene expression heatmap HOMER HPC Isoform limma MACS2 MAF miRNA miRNA-seq MSigDB Normalization peak calling RNA-seq somatic mutations Transcript VCF whole genome sequencing