跳到正文
cccskills
免费在 GitHub 公开

bio-clinical-databases-dbsnp-queries

Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(3)

  • SKILL.md4.7 KB
  • examples/dbsnp_lookup.py2.8 KB
  • usage-guide.md1.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Version Compatibility

Reference examples tested with: BioPython 1.83+, Entrez Direct 21.0+

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

dbSNP Queries

"Look up variant information by rsID" → Retrieve variant annotations, genomic coordinates, and cross-references to ClinVar/gnomAD from dbSNP using REST API queries.

  • Python: myvariant.MyVariantInfo().getvariant('rs12345')

Query rsID via myvariant.info

Goal: Retrieve variant information including dbSNP, ClinVar, and gnomAD annotations by rsID.

Approach: Query myvariant.info with the rsID and request specific annotation fields.

import myvariant

mv = myvariant.MyVariantInfo()

def get_rsid_info(rsid):
    '''Get variant info by rsID'''
    result = mv.getvariant(rsid, fields=['dbsnp', 'clinvar', 'gnomad_exome'])
    return result

result = get_rsid_info('rs121913527')

Query via NCBI Entrez

Goal: Search and fetch dbSNP records directly from NCBI using Entrez E-utilities.

Approach: Use BioPython Entrez esearch to find SNP IDs, then efetch to retrieve full XML records.

from Bio import Entrez
import xml.etree.ElementTree as ET

Entrez.email = 'your@email.com'

def search_dbsnp(rsid):
    '''Search dbSNP by rsID'''
    handle = Entrez.esearch(db='snp', term=rsid)
    record = Entrez.read(handle)
    handle.close()
    return record

def fetch_dbsnp(snp_id):
    '''Fetch dbSNP record by internal ID'''
    handle = Entrez.efetch(db='snp', id=snp_id, rettype='xml')
    xml_data = handle.read()
    handle.close()
    return xml_data

Map Coordinates to rsID

Goal: Find the rsID corresponding to a genomic position and allele change.

Approach: Construct an HGVS notation from coordinates and query myvariant.info for the dbSNP rsID field.

def coords_to_rsid(chrom, pos, ref, alt):
    '''Find rsID for genomic coordinates'''
    mv = myvariant.MyVariantInfo()

    # Query by HGVS notation
    hgvs = f'chr{chrom}:g.{pos}{ref}>{alt}'
    result = mv.getvariant(hgvs, fields=['dbsnp.rsid'])

    if result:
        return result.get('dbsnp', {}).get('rsid')
    return None

Map rsID to Coordinates

def rsid_to_coords(rsid):
    '''Get genomic coordinates for rsID'''
    mv = myvariant.MyVariantInfo()
    result = mv.getvariant(rsid, fields=['dbsnp', 'vcf'])

    if not result:
        return None

    dbsnp = result.get('dbsnp', {})
    return {
        'chrom': dbsnp.get('chrom'),
        'pos': dbsnp.get('hg38', {}).get('start'),
        'ref': dbsnp.get('ref'),
        'alt': dbsnp.get('alt')
    }

Batch rsID Lookup

def batch_rsid_lookup(rsids, fields=None):
    '''Look up multiple rsIDs'''
    mv = myvariant.MyVariantInfo()

    if fields is None:
        fields = ['dbsnp', 'clinvar.clinical_significance', 'gnomad_exome.af.af']

    results = mv.getvariants(rsids, fields=fields)
    return results

Parse dbSNP Annotations

def parse_dbsnp(result):
    '''Extract key dbSNP annotations'''
    dbsnp = result.get('dbsnp', {})

    return {
        'rsid': dbsnp.get('rsid'),
        'chrom': dbsnp.get('chrom'),
        'pos_hg38': dbsnp.get('hg38', {}).get('start'),
        'pos_hg19': dbsnp.get('hg19', {}).get('start'),
        'ref': dbsnp.get('ref'),
        'alt': dbsnp.get('alt'),
        'gene': dbsnp.get('gene', {}).get('symbol'),
        'class': dbsnp.get('class'),  # snv, ins, del, etc.
        'validated': dbsnp.get('validated')
    }

Variant Classes in dbSNP

ClassDescription
snvSingle nucleotide variant
insInsertion
delDeletion
indelInsertion/deletion
mnvMultiple nucleotide variant

Query NCBI Variation Services API

import requests

def query_spdi(rsid):
    '''Query NCBI Variation Services for SPDI notation'''
    url = f'https://api.ncbi.nlm.nih.gov/variation/v0/refsnp/{rsid[2:]}'
    response = requests.get(url)
    if response.ok:
        return response.json()
    return None

Related Skills

  • myvariant-queries - Aggregated variant queries
  • clinvar-lookup - ClinVar pathogenicity
  • database-access/entrez-search - General Entrez queries

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

adaptyv

免费

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

aeon

免费

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

Browse the web for any task — research topics, read articles, interact with web apps, fill forms, take screenshots, extract data, and test web pages. Use whenever a browser would be useful, not just when the user explicitly asks.

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

AI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

alphafold

免费

Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.

中文简介正在准备中。当前显示原文说明。

FreedomIntelligence/OpenClaw-Medical-Skills30742026年7月21日 更新

查看 FreedomIntelligence 的全部技能

报告此技能的问题