zUMIs
importedsoftware/zumis
zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/sdparekh/zUMIs
- Documentation
- unknown
- Tags
- barcodes · dge · expression · fastq · pipeline · rna-seq · rnaseq · single-cell
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- fastq_utilsbarcodes · dge · fastq · single-cell
Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.
- scHLApersexpression · single-cell
Code to run the scHLApers pipeline for personalized single-cell HLA quantification
- scnanoseqpipeline · rna-seq · rnaseq
Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
- seq2sciencefastq · pipeline · rna-seq
Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.
- DTUrtlerna-seq · rnaseq · single-cell
Perform differential transcript usage (DTU) analysis of bulk or single-cell RNA-seq data. See documentation at:
- bambu-pipepipeline · rna-seq · single-cell
Transcript discovery and quantification for long read single cell and spatial transcriptomics data using Bambu
- api.github.com/repos/sdparekh/zUMIsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-07-12, 297 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/3.json→ .entries["zumis"]
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