Agent skill · Databases

bio-small-rna-seq-target-prediction

Predict miRNA target genes using sequence-based algorithms and database lookups. Use when identifying potential mRNA targets of differentially expressed or functionally important miRNAs.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill target-prediction --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/bioskills/target-prediction/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: BioPython 1.83+, 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. # miRNA Target Prediction **"Predict target genes for my miRNAs"** → Identify potential mRNA targets of miRNAs using sequence-based thermodynamic alignment and database lookups from validated interaction repositories. - CLI: `miranda miRNA.fa UTR.fa -sc 140 -en -20` for de novo prediction - Python: API queries to miRTarBase, TargetScan for validated targets ## miRanda Algorithm **Goal:** Predict miRNA-mRNA target interactions using thermodynamic alignment scoring. **Approach:** Run miRanda to align miRNA sequences against 3' UTR sequences with minimum score and energy thresholds. ```bash # Run miRanda for target prediction miranda miRNA.fa UTRs.fa \ -sc 140 \ -en -20 \ -out predictions.txt # Options: # -sc 140: Minimum a

What's inside
Steps it walks through
  1. Version Compatibility
  2. miRanda Algorithm
  3. Parse miRanda Output
  4. TargetScan Database Lookup
  5. miRDB Database Lookup
  6. Combine Multiple Databases
  7. Python miRNA Target Prediction
  8. Seed Match Analysis
  9. Functional Enrichment of Targets
  10. Related Skills
Ships with 2 files
  • examples/predict_targets.py
  • usage-guide.md
Commands it runs
Run miRanda for target prediction
miranda miRNA.fa UTRs.fa \
Higher score and lower energy = stronger prediction
More from awesome-bio-agent-skills
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About this skill
What does the bio-small-rna-seq-target-prediction skill do?

Predict miRNA target genes using sequence-based algorithms and database lookups. Use when identifying potential mRNA targets of differentially expressed or functionally important miRNAs.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill target-prediction --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.

Keep going