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sequence-statistics

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Efficiently compute sequence statistics for DNA/RNA sequences.

#bioinformatics#sequence analysis#genomic analysis#GC content#contig statistics
Authorpradyumnasagar
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

biopythonnumpypolars

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: sequence-statistics
Download link: https://github.com/pradyumnasagar/open-research-skills/archive/main.zip#sequence-statistics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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