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𝗚𝗲𝗻𝗼𝗺𝗶𝗰𝘀, 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, 𝗮𝗻𝗱 𝗔𝗜, taught by a computational biologist. I'm Nishat Sarker. I build pipelines that turn raw sequencing data into biological insight. Here I teach the methods behind them: bulk and single-cell RNA-seq, ATAC-seq, whole-genome sequencing, spatial, multiome, gene regulatory networks, machine learning. ▸ 𝗠𝗲𝘁𝗵𝗼𝗱𝘀: GATK, DESeq2, limma, ArchR, SCENIC+, Scanpy, Seurat, scVI, cisTopic ▸ 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀: differential expression, pseudobulk, mixed models, multiple testing, power, design ▸ 𝗔𝗜: variational autoencoders, foundation models, agentic AI for biologists ▸ 𝗗𝗲𝘀𝗶𝗴𝗻: bulk vs single-cell, short vs long read, which assay fits which question ▸ 𝗖𝗼𝗱𝗲: Python and R walkthroughs, paper reviews, crash courses Every video covers a real analysis decision, tradeoffs stated plainly. Tutorials, books, GeneWizard: multiomeacademy.com Consulting: multiomeacademy.com/contact Subscribe and learn something you can use next.