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mgp1000

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software/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.

mgp1000 project image
GitHub preview card for pblaney/mgp1000. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
bioinformatics · cancer · genomics · germline · nextflow · pipeline · preprocessing · somatic
Regulatory
unknown
built by · 1

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.

similar by tags

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

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  • MutScanbioinformatics · cancer · somatic

    Detect and visualize target mutations by scanning FastQ files directly

  • circrnabioinformatics · genomics · nextflow · pipeline

    circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data

  • phaseimputebioinformatics · genomics · nextflow · pipeline

    A bioinformatics pipeline to phase and impute genetic data

  • walkercreekbioinformatics · genomics · nextflow · pipeline

    A Nextflow pipeline for viral genomics (Influenza/RSV) supporting Illumina and Nanopore sequencing of clinical and wastewater samples.

  • gencorebioinformatics · somatic

    Generate duplex/single consensus reads to reduce sequencing noises and remove duplications

sources
  1. api.github.com/repos/pblaney/mgp1000
    retrieved 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 →

machine-readable

/v1/entries/38.json→ .entries["mgp1000"]

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