Agent skill

bio-phasing-imputation-reference-panels

Download, prepare, and manage reference panels for phasing and imputation. Covers 1000 Genomes, HRC, and TOPMed panels. Use when setting up imputation infrastructure or selecting appropriate reference panels for target populations.

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 5 KB
Bundled scripts: yes
Path: skills/bioskills/reference-panels/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: bcftools 1.19+, picard 3.1+ Before using code patterns, verify installed versions match. If versions differ: - 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. # Reference Panels **"Set up reference panels for imputation"** → Download, prepare, and manage reference panels (1000 Genomes, HRC, TOPMed) for genotype phasing and imputation, including population subsetting and format conversion. - CLI: `bcftools view -S panel_samples.txt` for subsetting, `bcftools norm` for normalization ## 1000 Genomes Phase 3 (GRCh38) ```bash # Download from IGSR BASE_URL="http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000G_2504_high_coverage/working/20201028_3202_phased" for chr in {1..22}; do wget ${BASE_URL}/CCDG_14151_B01_GRM_WGS_2020-08-05_chr${chr}.filtered.shapeit2-duohmm-phased.vcf.gz wget ${BASE_URL}/CCDG_14151_B01_GRM_WGS_2020-08-05_chr${chr}.filtered.shapeit2-duohmm-phased.vcf.gz.tbi done ``` ## Subset by Population ```bash # Download sample info wget ht

What's inside
Steps it walks through
  1. Version Compatibility
  2. 1000 Genomes Phase 3 (GRCh38)
  3. Subset by Population
  4. Convert to Beagle Format
  5. Convert to IMPUTE5 Format
  6. HRC Reference Panel
  7. TOPMed Reference Panel
  8. Genetic Maps
  9. Check Reference Panel
  10. Lift Over Reference Panel
  11. Align Study to Reference
  12. Filter Reference Panel
  13. Merge Custom Panel with 1000G
  14. Reference Panel Comparison
Ships with 2 files
  • examples/download_reference.sh
  • usage-guide.md
Commands it runs
Download from IGSR
for chr in {1..22}; do
wget ${BASE_URL}/CCDG_14151_B01_GRM_WGS_2020-08-05_chr${chr}.filtered.shapeit2-duohmm-phased.vcf.gz
wget ${BASE_URL}/CCDG_14151_B01_GRM_WGS_2020-08-05_chr${chr}.filtered.shapeit2-duohmm-phased.vcf.gz.tbi
done
Download sample info
wget http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000G_2504_high_coverage/1000G_2504_high_coverage.sequence.index
Create population sample lists
grep "EUR" samples.txt | cut -f1 > european_samples.txt
grep "AFR" samples.txt | cut -f1 > african_samples.txt
More from awesome-bio-agent-skills
All skills →
About this skill
What does the bio-phasing-imputation-reference-panels skill do?

Download, prepare, and manage reference panels for phasing and imputation. Covers 1000 Genomes, HRC, and TOPMed panels. Use when setting up imputation infrastructure or selecting appropriate reference panels for target populations.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill reference-panels --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