Agent skill · Workflow & Productivity

bio-rna-quantification-tximport-workflow

Import transcript-level quantifications from Salmon/kallisto into R for gene-level analysis with DESeq2/edgeR using tximport or tximeta. Use when importing transcript counts into R for DESeq2/edgeR.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill tximport-workflow --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/bioskills/tximport-workflow/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: DESeq2 1.42+, Salmon 1.10+, edgeR 4.0+, kallisto 0.50+, scanpy 1.10+ Before using code patterns, verify installed versions match. If versions differ: - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # tximport Workflow **"Import Salmon/kallisto results into DESeq2"** → Summarize transcript-level abundance estimates to gene-level counts with proper length-offset correction for use in DESeq2 or edgeR. - R: `tximport::tximport(files, type='salmon', tx2gene=tx2gene)` Import transcript-level estimates from Salmon, kallisto, or other quantifiers into R for gene-level differential expression analysis. ## Basic tximport **Goal:** Import transcript-level quantifications from Salmon or kallisto into R as gene-level counts with proper length-offset correction for DESeq2 or edgeR. **Approach:** Create a transcript-to-gene mapping from a GTF or biomaRt, then run tximport on the quantification files to produce a gene-level count matrix with length-scaled TPM

What's inside
Steps it walks through
  1. Version Compatibility
  2. Basic tximport
  3. Creating tx2gene Mapping
  4. From GTF (using GenomicFeatures)
  5. From Ensembl (using biomaRt)
  6. From Salmon quant.sf
  7. Import Types
  8. Gene-Level Summarization (Default)
  9. Transcript-Level (No Summarization)
  10. Scaled TPM (for visualization)
  11. Source-Specific Import
  12. Salmon
  13. kallisto
  14. RSEM
Ships with 3 files
  • examples/create_tx2gene.R
  • examples/tximport_deseq2.R
  • usage-guide.md
More from awesome-bio-agent-skills
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About this skill
What does the bio-rna-quantification-tximport-workflow skill do?

Import transcript-level quantifications from Salmon/kallisto into R for gene-level analysis with DESeq2/edgeR using tximport or tximeta. Use when importing transcript counts into R for DESeq2/edgeR.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill tximport-workflow --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.

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