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New system links bioinformatics tools in papers to code for reproducibility

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CoPaLink, an automated system designed to enhance the reproducibility of bioinformatics workflows. This approach links mentions of bioinformatics tools within scientific papers to their corresponding executable code. CoPaLink integrates named entity recognition for both scientific text and code, along with entity resolution based on word embedding similarity, achieving a 66% joint accuracy on Nextflow workflows. AI

IMPACT This research could improve the transparency and reusability of computational workflows in scientific research.

RANK_REASON The cluster contains an academic paper detailing a new method for linking code to scientific text. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New system links bioinformatics tools in papers to code for reproducibility

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The cluster contains an academic paper detailing a new method for linking code to scientific text. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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100 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Cl\'emence Sebe, Olivier Ferret, Aur\'elie N\'ev\'eol, Mahdi Esmailoghli, Ulf Leser, Sarah Cohen-Boulakia ·

    Supporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code

    arXiv:2603.08195v2 Announce Type: replace Abstract: Motivation: The rapid growth of biological data has intensified the need for transparent, reproducible, and well-documented computational workflows. The ability to clearly connect the steps of a workflow in the code with their d…

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