✳flâneur — a map of the web's best reading
nf-core/rnaseq: RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
github.com · 1,061 words · saved by 1 readers
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
Explore this link on the map →saved by
related reading
- rnaseq: Parametersnf-co.re
- GitHub - BioDepot/RNA-seq-lambda: Rapid RNA-seq pipeline using AWS lambda functions for alignment · GitHubgithub.com
- GitHub - Illumina/SpliceAI: A deep learning-based tool to identify splice variants · GitHubgithub.com
- Elicit: AI for scientific researchelicit.com
- Elicit: AI for scientific researchelicit.org
- AlphaProteo generates novel proteins for biology and health research — Google DeepMinddeepmind.google
- Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology | Springer Nature Linkembopress.org
- Transcriptome assemblynbisweden.github.io
- benchmarks.bio — Agentic AI benchmarks on messy, real-world biological databenchmarks.bio
- GitHub - ccusage/ccusage: npx ccusage · GitHubgithub.com
- GitHub - Biohub/esm · GitHubgithub.com
- Codex use casesdevelopers.openai.com