数据与复现统计与数据分析K-Dense-AI/claude-scientific-skills数据与复现
SC

scikit-bio

维护者 K-Dense Inc. · 最近更新 2026年4月1日

scikit-bio是一个comprehensive Python 库 ,用于 working ,支持 biological data。 Apply this skill ,用于 bioinformatics analyses spanning sequence manipulation,alignment,phylogenetics,microbial ecology,、 multivariate statistics。

Claude CodeOpenClawNanoClaw分析处理复现实验scikit-biogenomics-toolspackagegenomics tools

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scikit-bio

维护者
K-Dense Inc.
许可
BSD-3-Clause license
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • scikit-bio是一个comprehensive Python 库 ,用于 working ,支持 biological data. Apply this skill ,用于 bioinformatics analyses spanning sequence manipulation,alignment,phylogenetics,microbial ecology,、 multivariate statistics。
  • seq = skbio.DNA.read('input.fasta')。

原始文档

SKILL.md 摘录

When to Use This Skill

This skill should be used when the user:

  • Works with biological sequences (DNA, RNA, protein)
  • Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.)
  • Performs sequence alignments or searches for motifs
  • Constructs or analyzes phylogenetic trees
  • Calculates diversity metrics (alpha/beta diversity, UniFrac distances)
  • Performs ordination analysis (PCoA, CCA, RDA)
  • Runs statistical tests on biological/ecological data (PERMANOVA, ANOSIM, Mantel)
  • Analyzes microbiome or community ecology data
  • Works with protein embeddings from language models
  • Needs to manipulate biological data tables

1. Sequence Manipulation

Work with biological sequences using specialized classes for DNA, RNA, and protein data.

Key operations:

  • Read/write sequences from FASTA, FASTQ, GenBank, EMBL formats
  • Sequence slicing, concatenation, and searching
  • Reverse complement, transcription (DNA→RNA), and translation (RNA→protein)
  • Find motifs and patterns using regex
  • Calculate distances (Hamming, k-mer based)
  • Handle sequence quality scores and metadata

Common patterns:

import skbio

## Sequence operations

rc = seq.reverse_complement()
rna = seq.transcribe()
protein = rna.translate()

适用场景

  • Works ,支持 biological sequences (DNA,RNA,protein)。
  • Needs to read/write biological file formats (FASTA,FASTQ,GenBank,Newick,BIOM,etc.)。
  • 执行 sequence alignments 或 searches ,用于 motifs。
  • Constructs 或 analy。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

相关技能

相关技能

返回目录
AE
数据与复现统计与数据分析

aeon

aeon:Aeon是一个兼容 scikit-learn Python 工具包 ,用于 时序机器学习。 It provides state-of- -art algorithms ,用于 分类,回归,聚类,预测,异常检测,分割,、 相似性检索…

Claude CodeOpenClaw分析处理
K-Dense-AI/claude-scientific-skills查看
BI
数据与复现统计与数据分析

bio-alignment-msa-statistics

bio-alignment-msa-statistics:Calculate alignment statistics ,涵盖 sequence identity,conservation scores,substitution matri…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看
BI
数据与复现统计与数据分析

bio-causal-genomics-fine-mapping

bio-causal-genomics-fine-mapping:Fine-mapping narrows GWAS association signals to identify likely causal variants。 Key o…

OpenClawNanoClaw分析处理
FreedomIntelligence/OpenClaw-Medical-Skills查看