RAPTOR/CITATION.cff at main · AyehBlk/RAPTOR · GitHub

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cff-version: 1.2.0
message: "If you use RAPTOR in your research, please cite it using the metadata from this file."
title: "RAPTOR: RNA-seq Analysis Pipeline Testing and Optimization Resource"
abstract: >-
  RAPTOR is a comprehensive framework for benchmarking and optimizing RNA-seq
  differential expression analysis pipelines. It provides ML-powered pipeline
  recommendations, adaptive threshold optimization, interactive dashboards,
  ensemble analysis, and automated reporting to make pipeline selection
  evidence-based rather than guesswork.
type: software
authors:
  - family-names: Bolouki
    given-names: Ayeh
    email: ayehbolouki1988@gmail.com
    orcid: "0009-0008-1605-7594"
    affiliation: "University of Liège, Belgium"
repository-code: "https://github.com/AyehBlk/RAPTOR"
url: "https://github.com/AyehBlk/RAPTOR"
repository-artifact: "https://pypi.org/project/raptor-rnaseq/"
keywords:
  - RNA-seq
  - differential expression
  - bioinformatics
  - pipeline benchmarking
  - machine learning
  - transcriptomics
  - computational biology
  - threshold optimization
  - ensemble analysis
  - parameter optimization
  - data-driven analysis
license: MIT
version: "2.2.0"
date-released: "2026-03-XX"
doi: "10.5281/zenodo.XXXXXXX"
preferred-citation:
  type: software
  title: "RAPTOR: RNA-seq Analysis Pipeline Testing and Optimization Resource"
  authors:
    - family-names: Bolouki
      given-names: Ayeh
      email: ayehbolouki1988@gmail.com
      orcid: "0009-0008-1605-7594"
      affiliation: "University of Liège, Belgium"
  year: 2026
  version: "2.2.0"
  doi: "10.5281/zenodo.XXXXXXX"
  url: "https://github.com/AyehBlk/RAPTOR"
  repository-code: "https://github.com/AyehBlk/RAPTOR"
  license: MIT