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sequence-statistics

Compute length, GC content, and contig statistics for DNA and RNA sequences.

6|2|Updated Jun 11, 2026
Search Tags:#bioinformatics#sequence analysis#genomic analysis#GC content#contig statistics
One-click install
npx skills add https://github.com/pradyumnasagar/open-research-skills --skill sequence-statistics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sequence-statistics
Source: https://github.com/pradyumnasagar/open-research-skills/tree/main/skills/bioinformatics-sequence/sequence-statistics
Command: npx skills add https://github.com/pradyumnasagar/open-research-skills --skill sequence-statistics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires biopython, numpy, polars, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a streamlined approach to calculating sequence statistics such as length, GC content, and contig characteristics for DNA and RNA sequences, enabling researchers to quickly gain insights into their genomic data.

Core Features & Use Cases

  • Sequence Length and GC Content: Calculate the length and GC content of individual sequences.
  • Contig Statistics: Determine the N50, L50, and other metrics for genomic assemblies.
  • File-level Summaries: Obtain aggregate statistics for sequences across multiple files.
  • Use Case: Use this Skill to assess the quality and characteristics of a set of sequences from a genomic assembly project, such as identifying the longest and shortest sequences and their GC content.

Quick Start

Run the sequence-statistics skill on the genome sequence file 'genome.fasta' to compute N50 and L50 values.

Frequently Asked Questions about sequence-statistics

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

FAQPage Schema
How do I compute GC content and sequence length for a FASTA file?▼

You can compute GC content and sequence length for a FASTA file by running this Skill, which uses Biopython to parse sequences and calculates individual sequence metrics for quick genomic data exploration.

What is the best way to calculate N50 and L50 contig statistics for a genomic assembly?▼

Calculating N50 and L50 contig statistics for a genomic assembly is efficiently handled by this Skill, which determines contig characteristics to assess the overall quality of sequence assemblies.

Do I need Biopython and Polars to calculate sequence statistics?▼

Yes, Biopython, NumPy, and Polars are required dependencies to calculate sequence statistics, as the Skill relies on them for efficient sequence parsing and numerical calculations.

Can I get aggregate sequence statistics across multiple genomic files?▼

Yes, you can obtain aggregate sequence statistics across multiple genomic files, as the Skill provides file-level summaries to calculate aggregate metrics for sequences across multiple files.

How does contig statistics calculation work for DNA and RNA sequences?▼

Contig statistics calculation for DNA and RNA sequences works by parsing the sequences and determining contig characteristics like N50 and L50, which are standard metrics for evaluating genomic assembly continuity.

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