以原始分辨率分析亚微米空间转录组学数据

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Nature Methods Pub Date : 2024-09-13 DOI:10.1038/s41592-024-02416-1
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引用次数: 0

摘要

FICTURE 软件解决了空间 omics 分析中的一个关键难题:在每平方微米只有几个分子的情况下进行高分辨率推断。该工具从整个转录组中学习潜在的空间因子,同时保留了每种技术的规模分辨率,从而充分发挥了当代空间平台的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Analyzing submicron spatial transcriptomics data at their original resolution
FICTURE software addresses a critical challenge in spatial omics analysis: making high-resolution inference with only a few molecules per square micron. This tool fully realizes the potential of contemporary spatial platforms by learning latent spatial factors from the whole transcriptome while preserving the resolution of each technology at scale.
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
期刊最新文献
Analyzing submicron spatial transcriptomics data at their original resolution Serialized on-grid lift-in sectioning for tomography (SOLIST) enables a biopsy at the nanoscale Research ethics matter Serial lift-out for in situ structural biology of multicellular specimens FICTURE: scalable segmentation-free analysis of submicron-resolution spatial transcriptomics
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