Category: Scientific Programming
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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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Build Once, Run Anywhere: Creating Portable NGS Analysis Environments with Docker
Never worry about “it works on my machine” again – create portable, reproducible NGS analysis environments Introduction: The Reproducibility Challenge in NGS Analysis Picture this scenario: you’ve spent weeks perfecting your ChIP-seq analysis pipeline on your local workstation. The results are beautiful, the workflow is smooth, and everything runs flawlessly. Then comes the moment of
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HPC Data Management for NGS Analysis: Storage, Transfer, and Sharing Best Practices
Introduction to Data Management on High-Performance Computing Systems High-Performance Computing (HPC) systems have become essential tools for Next-Generation Sequencing (NGS) data analysis. These powerful computing environments allow researchers to process and analyze massive genomic datasets that would be impossible to handle on standard desktop computers. However, working effectively with HPC systems requires understanding how to
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High Performance Computing (HPC) Job Submission Systems: A Beginner’s Guide to Slurm
Introduction: Understanding High Performance Computing Have you ever tried to run a program on your computer, only to find that it takes hours or even days to complete? Or perhaps you needed to analyze a huge dataset that wouldn’t even fit in your computer’s memory? These are the kinds of problems that High Performance Computing
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Recent Posts
- How to Analyze Single-Cell RNA-seq Data – Complete Beginner’s Guide Part 7-2: Trajectory Analysis Using Slingshot
- 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
- How to Convert BAM Files Back to FASTQ Files: A Practical Guide for NGS Analysis
Tags
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