omni-module-tests

a simple omnibenchmark module for testing metadata

https://github.com/btraven00/omni-module-tests

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

a simple omnibenchmark module for testing metadata

Basic Info
  • Host: GitHub
  • Owner: btraven00
  • License: unlicense
  • Language: Shell
  • Default Branch: main
  • Size: 1.95 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 8 months ago · Last pushed 8 months ago
Metadata Files
License Citation

Owner

  • Name: btraven
  • Login: btraven00
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "RNA-seq Quantification Benchmark Tool"
version: "2.1.3"
date-released: "2023-11-28"
url: "https://github.com/biocompute/rnaseq-quant-bench"
repository-code: "https://github.com/biocompute/rnaseq-quant-bench"
authors:
  - family-names: "González"
    given-names: "María Elena"
    orcid: "https://orcid.org/0000-0002-1234-5678"
    email: "m.gonzalez@biocompute.org"
    affiliation: "Institute for Computational Biology"
  - family-names: "Chen"
    given-names: "Wei"
    orcid: "https://orcid.org/0000-0003-9876-5432"
    email: "w.chen@genomics.edu"
    affiliation: "Genomics Research Center"
  - family-names: "Müller"
    given-names: "Klaus"
    email: "k.mueller@bioinformatics.de"
    affiliation: "European Bioinformatics Institute"
abstract: "A comprehensive benchmarking tool for RNA-seq quantification methods. Evaluates accuracy, speed, and memory usage across diverse datasets including simulated and real experimental data."
keywords:
  - RNA-seq
  - transcriptomics
  - quantification
  - benchmarking
  - bioinformatics
  - gene-expression
license: GPL-3.0
doi: "10.1093/bioinformatics/btaa123"
preferred-citation:
  type: article
  title: "Comprehensive benchmarking of RNA-seq quantification methods reveals systematic biases"
  authors:
    - family-names: "González"
      given-names: "María Elena"
    - family-names: "Chen"
      given-names: "Wei"
    - family-names: "Müller"
      given-names: "Klaus"
  journal: "Bioinformatics"
  volume: 39
  issue: 12
  start: 2045
  end: 2053
  year: 2023
  doi: "10.1093/bioinformatics/btaa123"
contact:
  - family-names: "González"
    given-names: "María Elena"
    email: "m.gonzalez@biocompute.org"

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