| 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. |
Nina
Yuxuan Luo :
Biotechnology undergraduate at Hainan Normal University | Bioinformatics, AI for Biology, YOLO-based fish tracking
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Hainan Normal University
- China
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17:28
(UTC +08:00)
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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
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Bioinfo-collinearity-kaks-pipeline
Bioinfo-collinearity-kaks-pipeline PublicA 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。
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