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期刊名:Nature methods

缩写:NAT METHODS

ISSN:1548-7091

e-ISSN:1548-7105

IF/分区:32.1/Q1

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共收录本刊相关文章索引5447
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Ruyu Ma,Luciano M Santino,Tomáš Chobola et al. Ruyu Ma et al.
Bioluminescence is an attractive alternative to fluorescence for live-cell imaging; however, its low intensity has prevented widespread adoption. Specialized microscopes compensate by sacrificing spatial resolution, field of view and dynami...
Patrick J Nugent,Heungwon Park,Cynthia L Wladyka et al. Patrick J Nugent et al.
RNAs undergo a complex choreography of metabolic processes that are regulated by thousands of RNA-associated proteins. Here we introduce ReLiC, a scalable and high-throughput RNA-linked CRISPR approach to measure the responses of diverse RN...
Hillary Elrick,Carolin M Sauer,Jose Espejo Valle-Inclan et al. Hillary Elrick et al.
Accurate detection of somatic structural variants (SVs) and somatic copy number aberrations (SCNAs) is critical to study the mutational processes underpinning cancer evolution. Here we describe SAVANA, an algorithm designed to detect somati...
Saurabh Joshi,André Forjaz,Kyu Sang Han et al. Saurabh Joshi et al.
Recent advances in imaging and computation have enabled analysis of large three-dimensional (3D) biological datasets, revealing spatial composition, morphology, cellular interactions and rare events. However, the accuracy of these analyses ...
Sara Lobato-Moreno,Umut Yildiz,Annique Claringbould et al. Sara Lobato-Moreno et al.
Enhancers and transcription factors (TFs) are crucial in regulating cellular processes. Current multiomic technologies to study these elements in gene regulatory mechanisms lack multiplexing capability and scalability. Here we present singl...
Daniel C Jones,Anna E Elz,Azadeh Hadadianpour et al. Daniel C Jones et al.
Single-cell spatial transcriptomics promises a highly detailed view of a cell's transcriptional state and microenvironment, yet inaccurate cell segmentation can render these data murky by misattributing large numbers of transcripts to nearb...