# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "glysmith" in publications use:'
type: software
license: MIT
title: 'glysmith: Full-Featured Analysis Pipeline for Glycomics and Glycoproteomics'
version: 0.11.0
doi: 10.32614/CRAN.package.glysmith
abstract: glysmith provides high-level, end-to-end workflows for glycomics and glycoproteomics
  data analysis within the glycoverse ecosystem. It acts as an orchestrator that integrates
  data cleaning, quality control, derived trait computation, motif detection, statistical
  testing, and visualization into unified, one-command analytical pipelines. Featuring
  AI-assisted pipeline generation, glysmith can intelligently translate natural language
  research questions into executable analysis blueprints, streamlining complex bioinformatics
  workflows. Built on top of the experiment() data container and domain-knowledge-aware
  infrastructure provided by glyclean, glydet, glymotif, glystats, glyvis, and related
  packages, glysmith enables users to quickly forge polished tables, figures, and
  analysis reports suitable for publication. The package is designed for reproducibility
  and ease of use, allowing both novice and advanced users to obtain standardized
  and structure-aware results with minimal code while retaining full flexibility for
  customization.
authors:
- family-names: Fu
  given-names: Bin
  email: 23110220018@m.fudan.edu.cn
  orcid: https://orcid.org/0000-0001-8567-2997
repository: https://glycoverse.r-universe.dev
commit: 0f0f8d230d9ed33ba484ab37fec920d48dacab27
url: https://glycoverse.github.io/glysmith/
date-released: '2026-05-08'
contact:
- family-names: Fu
  given-names: Bin
  email: 23110220018@m.fudan.edu.cn
  orcid: https://orcid.org/0000-0001-8567-2997