👋 Welcome to BioF3's Daily Trends! Today's edition features 3 GitHub projects and 0 research papers from bioRxiv, arXiv, and PubMed.
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1. bambu
🔧 GitHub Project | Language:
R| ⭐229| 🍴26
Reference-guided transcript discovery and quantification for long read RNA-Seq data
Key Topics: bambu bioconductor long-reads nanopore nanopore-sequencing r rna-seq rna-seq-analysis
AI Technical Review (深度解读)
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Description: Reference-guided transcript discovery and quantification for long read RNA-Seq data Topics: bambu, bioconductor, long-reads, nanopore, nanopore-sequencing, r, rna-seq, rna-seq-analysis, transcript-quantification, transcript-reconstruction, transcriptomics
README: <img src="figures/tra...
2. IsoQuant
🔧 GitHub Project | Language:
Python| ⭐204| 🍴21
Transcript discovery and quantification with long RNA reads (Nanopores and PacBio)
Key Topics: bioinformatics nanopore ngs pacbio rna-seq transcriptomics
AI Technical Review (深度解读)
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Description: Transcript discovery and quantification with long RNA reads (Nanopores and PacBio) Topics: bioinformatics, nanopore, ngs, pacbio, rna-seq, transcriptomics
README:
[
](https://an...
3. Multiomics-Integrator
🔧 GitHub Project | Language:
TypeScript| ⭐1| 🍴0
Develop a deep learning platform that integrates proteomics and transcriptomics data for comprehensive molecular profiling and identification of post-transcriptional regulatory mechanisms. The system utilizes a multi-modal VAE with cross-modal attention, UMAP/t-SNE for visualization, discordant mRNA–protein pair analysis, and interactive 3D visuals
Key Topics: deployed
AI Technical Review (深度解读)
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Description: Develop a deep learning platform that integrates proteomics and transcriptomics data for comprehensive molecular profiling and identification of post-transcriptional regulatory mechanisms. The system utilizes a multi-modal VAE with cross-modal attention, UMAP/t-SNE for visualization, di...
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