ArchMap is a web-based platform for reference-based analysis of single-cell datasets

IF 25.5 1区 生物学 Q1 GENETICS & HEREDITY
Mohammad Lotfollahi, Chelsea Bright, Ronald Skorobogat, Mohammad Moghareh Dehkordi, Xavier George, Simon Richter, Vladimir A. Shitov, Aleksandra Topalova, Helena Melcher, Noah Nussbaumer, Annika Fomm, Malte D. Luecken, Fabian J. Theis
{"title":"ArchMap is a web-based platform for reference-based analysis of single-cell datasets","authors":"Mohammad Lotfollahi, Chelsea Bright, Ronald Skorobogat, Mohammad Moghareh Dehkordi, Xavier George, Simon Richter, Vladimir A. Shitov, Aleksandra Topalova, Helena Melcher, Noah Nussbaumer, Annika Fomm, Malte D. Luecken, Fabian J. Theis","doi":"10.1038/s41588-026-02756-y","DOIUrl":null,"url":null,"abstract":"Leveraging single-cell reference atlases to analyze new data has brought about a paradigm shift in single-cell data science akin to the first reference genome in genomics. However, methods for performing this mapping require computational expertise and, oftentimes, considerable compute power, limiting access for researchers who may benefit the most. Here ArchMap, a no-code query-to-reference mapping tool, removes this barrier by providing all-in-one automated mapping, cell-type annotation and collaborative features to analyze single-cell datasets from a wide range of integrated, often published, reference atlases and allows the extension of atlases with the growing Human Cell Atlas and related efforts. This paves the way for a democratization of reference mapping capabilities. Existing software for mapping single-cell datasets onto reference atlases often requires coding expertise or a license. ArchMap is a free no-code query-to-reference mapping web tool compatible with Python-based mapping methods.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"58 10","pages":"2469-2473"},"PeriodicalIF":25.5000,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41588-026-02756-y.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-026-02756-y","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Leveraging single-cell reference atlases to analyze new data has brought about a paradigm shift in single-cell data science akin to the first reference genome in genomics. However, methods for performing this mapping require computational expertise and, oftentimes, considerable compute power, limiting access for researchers who may benefit the most. Here ArchMap, a no-code query-to-reference mapping tool, removes this barrier by providing all-in-one automated mapping, cell-type annotation and collaborative features to analyze single-cell datasets from a wide range of integrated, often published, reference atlases and allows the extension of atlases with the growing Human Cell Atlas and related efforts. This paves the way for a democratization of reference mapping capabilities. Existing software for mapping single-cell datasets onto reference atlases often requires coding expertise or a license. ArchMap is a free no-code query-to-reference mapping web tool compatible with Python-based mapping methods.

Abstract Image

ArchMap是一个基于web的平台,用于基于参考的单细胞数据集分析
利用单细胞参考图谱分析新数据带来了单细胞数据科学的范式转变,类似于基因组学中的第一个参考基因组。然而,执行这种映射的方法需要计算专业知识,并且通常需要相当大的计算能力,这限制了可能受益最多的研究人员的访问。在这里,ArchMap,一个无代码查询到参考的地图工具,通过提供一体化的自动地图,细胞类型注释和协作功能来分析来自广泛集成的,经常发布的参考地图集的单细胞数据集,并允许地图集随着不断增长的人类细胞地图集和相关工作的扩展,消除了这一障碍。这为引用映射功能的民主化铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书