bio-epitranscriptomics-m6anet-analysis
Detect m6A modifications from Oxford Nanopore direct RNA sequencing using m6Anet. Use when analyzing epitranscriptomic modifications from long-read RNA data without immunoprecipitation.
npx skills add BioTender-max/awesome-bio-agent-skills --skill m6anet-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: minimap2 2.26+, pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # m6Anet Analysis **"Detect m6A from my Nanopore direct RNA data"** → Identify m6A modifications directly from Oxford Nanopore signal-level data without immunoprecipitation using a neural network classifier. - CLI: `m6anet dataprep` → `m6anet inference` on Nanopolish eventalign output Documentation: https://m6anet.readthedocs.io/ ## Data Preparation ```bash # Basecall with Guppy (requires FAST5 files) guppy_basecaller \ -i fast5_dir \ -s basecalled \ --flowcell FLO-MIN106 \ --kit SQK-RNA002 # Align to transcriptome minimap2 -ax map-ont -uf transcriptome.fa reads.fastq > aligned.sam ``` ## Run m6Anet ```python from m6anet.utils import preprocess from m6anet import run_inference # Preprocess: extract features from FAST5 pre
- Version Compatibility
- Data Preparation
- Run m6Anet
- CLI Workflow
- Interpret Results
- Related Skills
Basecall with Guppy (requires FAST5 files) guppy_basecaller \ Align to transcriptome minimap2 -ax map-ont -uf transcriptome.fa reads.fastq > aligned.sam Preprocess m6anet dataprep \ Inference m6anet inference \
What does the bio-epitranscriptomics-m6anet-analysis skill do?
Detect m6A modifications from Oxford Nanopore direct RNA sequencing using m6Anet. Use when analyzing epitranscriptomic modifications from long-read RNA data without immunoprecipitation.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill m6anet-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.