mgp1000
importedsoftware/mgp1000
Nextflow bioinformatics pipeline for large-scale analysis of Multiple Myeloma genomes
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- pblaney.github.io/mgp1000-docs/
- Repository
- github.com/pblaney/mgp1000
- Documentation
- unknown
- Tags
- bioinformatics · cancer · genomics · germline · nextflow · pipeline · preprocessing · somatic
- 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.
- sarekbioinformatics · cancer · genomics · germline
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
- flowcraftgenomics · nextflow · pipeline
FlowCraft: a component-based pipeline composer for omics analysis using Nextflow. :whale::package:
- variantcallinggenomics · nextflow · pipeline
Nextflow DSL2 pipeline to call variants on long read alignment.
- nf-encyclopediabioinformatics · nextflow · pipeline
A NextFlow pipeline for chromatogram library DIA proteomics workflows
- spatialvibioinformatics · nextflow · pipeline
Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.
- toolsbioinformatics · nextflow · pipeline
Python package with helper tools for the nf-core community.
- api.github.com/repos/pblaney/mgp1000retrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-21, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/38.json→ .entries["mgp1000"]
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