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filter-sequences

Filter biological sequences by length, identity, regex, GC content, complexity, and custom predicates using Biopython.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires biopython, regex, and includes scripts (resource) components.

What problem does it solve?

This Skill simplifies the process of filtering biological sequences based on various criteria, streamlining the workflow for researchers dealing with large datasets.

Core Features & Use Cases

  • Multiple Filtering Options: Offers length, identity, regex, GC content, complexity, and custom predicate filtering.
  • Fast Streaming: Utilizes Biopython and SeqIO for efficient streaming of data, minimizing memory usage.
  • Use Case: For a researcher working with genomic sequences, this Skill can quickly filter out sequences based on length and complexity, improving the efficiency of downstream analysis.

Quick Start

Run the filter-sequences skill to process your sequences with a custom set of filters, e.g., 'filter-sequences -l 1000 -c 1.8 -g 0.5 -n 0.05'.

Frequently Asked Questions about filter-sequences

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

FAQPage Schema
How do I filter biological sequences by length and GC content in Python?▼

Biopython enables sequence filtering by length and GC content through SeqIO streaming, minimizing memory usage while processing large genomic datasets for quality control.

Can I use regex patterns to filter genomic sequences based on specific motifs?▼

Regex pattern filtering for genomic sequences is supported through the regex library, allowing you to match specific motifs alongside length, GC content, and complexity filters.

What is the best way to handle large biological datasets for sequence quality control?▼

Fast streaming with Biopython's SeqIO handles large biological datasets efficiently for sequence quality control, minimizing memory usage while applying multiple filtering criteria.

Does Biopython support custom predicates for sequence filtering?▼

Biopython supports custom predicates for sequence filtering, allowing you to define specific logical conditions alongside length, GC content, and identity checks for precise preprocessing.

Why does sequence complexity matter when filtering genomic data for research?▼

Sequence complexity filtering removes low-complexity regions from genomic data that can skew downstream analysis, ensuring higher quality inputs for research workflows.

Do I need to install any specific libraries to run sequence filtering scripts?▼

You need to install Biopython and the regex library to run sequence filtering scripts, as these dependencies provide the SeqIO streaming and pattern matching functionalities required for processing.

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