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  • Hainan Normal University
  • China
  • 11:26 (UTC +08:00)

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Oblivionis028/README.md

English · 简体中文

🧬 Biotechnology & Life Sciences | 💻 Bioinformatics & AI for Biology | 🐟 YOLO-based Fish Tracking



📊 My GitHub Stats

Yuxuan Luo's GitHub Stats Top Languages

🌟 Featured Project

Project Tech Stack Description
YOLO-based Fish Tracking Python + YOLO + Ultralytics + ByteTrack + OpenCV A computer vision project focused on fish detection, reflection recognition, and multi-object tracking in experimental videos. The project includes dataset construction, CVAT annotation, YOLO model training, validation, and tracking result analysis.
Collinearity & Ka/Ks Pipeline Python + Bash + DIAMOND + MCScanX + TBtools + gffread A reusable bioinformatics workflow template for intra-/inter-species collinearity analysis and Ka/Ks estimation. The project includes MCScanX input preparation, protein all-vs-all alignment, target gene collinearity filtering, CDS extraction, and Ka/Ks result interpretation, while excluding real genomic data for privacy.
Literature Evidence Synthesis Python + Codex Skill + PDF + Evidence Matrix A domain-agnostic, page-verified literature review workflow that transforms mixed PDF collections into traceable evidence matrices, design-aware appraisals, and cross-paper synthesis reports.

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  1. ocellaris-fish-tracking-yolo-bytetrack ocellaris-fish-tracking-yolo-bytetrack Public

    基于 YOLO 的鱼类与倒影检测及 ByteTrack 追踪流程用于小丑鱼行为分析。YOLO-based fish/reflection detection and ByteTrack tracking pipeline for ocellaris clownfish behavior analysis.

    Python 2

  2. Bioinfo-collinearity-kaks-pipeline Bioinfo-collinearity-kaks-pipeline Public

    A reproducible bioinformatics pipeline template for collinearity and Ka/Ks analysis in comparative genomics.一个用于比较基因组学中共线性分析和 Ka/Ks 分析的可复现生信流程模板。

    Python 31 1

  3. literature-evidence-synthesis-skill literature-evidence-synthesis-skill Public

    A page-verified, design-aware literature evidence synthesis Skill for Codex.面向所有研究领域的 AI 辅助论文阅读工作流。支持实验、观察、临床、定性、混合方法、计算机与机器学习、方法学、系统综述、Meta 分析、案例、理论、政策和评论性文献。任何进入综合报告的数值、统计结果或实质性结论,都必须回到 PDF 原文页码复核。

    Python 1