Genome-wide extraction of real-valued signals hidden in noisy multisample HTS data
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Updated
Sep 6, 2026 - Python
Genome-wide extraction of real-valued signals hidden in noisy multisample HTS data
Step-by-step instructions and Snakemake pipeline for processing Cut&Run data
bowtie2 + MACS3 peak calling (Snakemake DAG, SLURM profile) on public CUT&Tag data -- honest CUT&RUN/CUT&Tag disclosure
Which normalization method recovers a genome-wide change in CUT&RUN signal? A Nextflow benchmark scored against a dataset with known ground truth.
Personal portfolio of Dr. Mallikarjuna Thippana — computational biologist specializing in genomics & epigenomics (bulk RNA-seq, ChIP-seq, ATAC-seq, CUT&RUN), single-cell & spatial multi-omics, and statistical ML for biological data.
Self-hosted CUT&RUN bioinformatics platform for the Ferguson Lab at UCSD. Replicates CUTANA Cloud and extends it with trimming, SEACR/MACS2, DiffBind, custom heatmaps, Pearson correlation, & Roman normalization. React + FastAPI + PostgreSQL on EC2.
qPCR Plate Planner is a browser-based tool to streamline the design, execution, and analysis of qPCR experiments. To have the AI functionality visit https://huggingface.co/spaces/mahmood-iab/qPCR-Plate-Planner-AI
A python-driven CUT&RUN pipeline analysis developed at the Phillips Lab (University of Pennsylvania) tailored to batch execution at a HPC environment.
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