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Rewrite research pages in concise essay style#56

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hyunhwan-bcm merged 1 commit intomainfrom
content/essay-style-research-pages
Feb 12, 2026
Merged

Rewrite research pages in concise essay style#56
hyunhwan-bcm merged 1 commit intomainfrom
content/essay-style-research-pages

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@hyunhwan-bcm hyunhwan-bcm commented Feb 12, 2026

Summary

  • rewrite AI & Computational Methods into a 3-paragraph essay format
  • rewrite Rigorous Validation & Data Science into a 3-paragraph essay format with ADSI Validate ASD context and citation links
  • rewrite Translational Bridge into a 3-paragraph essay format

Files Updated

  • src/content/research/ai-computational-methods.md
  • src/content/research/validation-data-science.md
  • src/content/research/translational-bridge.md

Notes

  • removed multi-section bullet-heavy structure to match requested narrative style
  • preserved key external resource links in the new prose

Copilot AI review requested due to automatic review settings February 12, 2026 06:48
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@hyunhwan-bcm hyunhwan-bcm merged commit 20ba042 into main Feb 12, 2026
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Pull request overview

Updates the research section content pages to a concise, narrative “3-paragraph essay” format while keeping the existing Astro content collection frontmatter structure intact.

Changes:

  • Rewrote AI & Computational Methods into a 3-paragraph narrative and added representative tool links.
  • Rewrote Rigorous Validation & Data Science into a 3-paragraph narrative including ADSI Validate ASD context and citations.
  • Rewrote Translational Bridge into a 3-paragraph narrative emphasizing clinical/research deployment and collaboration.

Reviewed changes

Copilot reviewed 3 out of 3 changed files in this pull request and generated 1 comment.

File Description
src/content/research/ai-computational-methods.md Converts to concise essay format and lists key tools/resources via external links.
src/content/research/validation-data-science.md Reframes validation work as a narrative with ADSI Validate ASD details and representative publications.
src/content/research/translational-bridge.md Rewrites to narrative style highlighting translational workflows and clinical collaborations.

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## Collaborative Research

Our computational methods are developed in close collaboration with experimental biologists and clinicians, ensuring that our approaches address real-world biological questions and can be validated experimentally.
We prioritize open, reusable software so these methods are accessible beyond our lab. Representative tools include [AI-MARRVEL](https://github.com/LiuzLab/AI_MARRVEL), [NMRQNet](https://github.com/LiuzLab/NMRQNet), [SPA-STOCSY](https://github.com/LiuzLab/SPA-STOCSY), and [CRISPRcloud](https://crispr.nrihub.org/). Together, these resources support computational biologists, experimental teams, and translational collaborators working on real-world genomic and disease-focused questions.
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The CRISPRcloud URL here uses https, but elsewhere in the repo CRISPRcloud is referenced with http://crispr.nrihub.org (no TLS). To avoid shipping a potentially broken link, please verify that HTTPS is supported; otherwise switch this link to http (or update all references consistently if HTTPS is now available).

Suggested change
We prioritize open, reusable software so these methods are accessible beyond our lab. Representative tools include [AI-MARRVEL](https://github.com/LiuzLab/AI_MARRVEL), [NMRQNet](https://github.com/LiuzLab/NMRQNet), [SPA-STOCSY](https://github.com/LiuzLab/SPA-STOCSY), and [CRISPRcloud](https://crispr.nrihub.org/). Together, these resources support computational biologists, experimental teams, and translational collaborators working on real-world genomic and disease-focused questions.
We prioritize open, reusable software so these methods are accessible beyond our lab. Representative tools include [AI-MARRVEL](https://github.com/LiuzLab/AI_MARRVEL), [NMRQNet](https://github.com/LiuzLab/NMRQNet), [SPA-STOCSY](https://github.com/LiuzLab/SPA-STOCSY), and [CRISPRcloud](http://crispr.nrihub.org/). Together, these resources support computational biologists, experimental teams, and translational collaborators working on real-world genomic and disease-focused questions.

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2 participants