Genome-wide extraction of real-valued signals hidden in noisy multisample HTS data
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Updated
Jul 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
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.
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
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.
A modular, production-ready Snakemake pipeline for CUT&RUN epigenomic analysis — featuring E. coli spike-in normalization, SEACR peak calling, fragment size analysis, and comprehensive QC reporting. Designed following ENCODE and nf-core best practices.
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