bioinformatics-fundamentals

Explain core bioinformatics concepts and common data processing patterns.

17|2|Updated Dec 20, 2025
One-click install
npx skills add https://github.com/Delphine-L/claude_global --skill bioinformatics-fundamentals
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bioinformatics-fundamentals
Source: https://github.com/Delphine-L/claude_global/tree/main/skills/bioinformatics/fundamentals
Command: npx skills add https://github.com/Delphine-L/claude_global --skill bioinformatics-fundamentals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides foundational knowledge of key bioinformatics concepts, enabling practitioners to understand file formats, sequencing data, and common data processing patterns, reducing debugging time.

Core Features & Use Cases

  • File Formats Overview: SAM/BAM, FASTQ/FASTA, BED, AGP, VCF, and their practical implications.
  • Sequencing Technologies: Illumina, PacBio HiFi, Hi-C basics and typical workflows.
  • Quality Metrics & Patterns: MAPQ, PHRED, N50, coverage, and common troubleshooting patterns.
  • Use Case: Debug alignment issues or validate AGP coordinates in a genome assembly.

Quick Start

Input a sample BAM and ask the skill to summarize common flags (0x1, 0x2, 0x4, etc.) and interpret MAPQ; or to generate a quick checklist for validating AGP coordinates.

Frequently Asked Questions about bioinformatics-fundamentals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I interpret SAM/BAM file flags and MAPQ scores when debugging alignment issues?

SAM/BAM flags (0x1, 0x2, 0x4, etc.) encode read properties like paired status and alignment success; MAPQ scores quantify mapping confidence. Understanding these helps identify misaligned reads and validate assembly quality in genomics workflows.

What are the key differences between sequencing technologies like Illumina, PacBio HiFi, and Hi-C?

Illumina provides short, accurate reads; PacBio HiFi delivers long reads with high accuracy; Hi-C captures chromosome interactions for 3D genome mapping. Each suits different assembly and analysis goals in genomics pipelines.

How do I validate AGP coordinates in a genome assembly?

AGP files define contig and scaffold ordering. Validation involves checking coordinate continuity, gap consistency, and overlap patterns against raw assembly data to catch assembly errors early.

What quality metrics should I check to assess sequencing and assembly data?

N50 length, coverage depth, and PHRED quality scores measure sequence completeness and accuracy. These metrics guide decisions on whether data is suitable for downstream analysis or requires resequencing.

What file formats do I need to understand for genome assembly workflows?

Core formats include FASTQ/FASTA (raw reads), SAM/BAM (alignments), BED (genomic regions), VCF (variants), and AGP (scaffold definitions). Knowing their structure prevents parsing errors and data loss.

Can I use this guidance to troubleshoot common assembly pipeline failures?

Yes. The skill covers debugging workflows and common troubleshooting patterns across assembly pipelines, helping you identify root causes in alignment, quality, or coordinate validation steps.