《自然-方法》（Nature Methods）是一份由施普林格·自然旗下自然科研出版的同行评审月刊。Nature Methods is a peer-reviewed monthly scientific journal published by Nature Portfolio, a division of Springer Nature.
该期刊专门报道生命科学及交叉学科领域中具有开创性的新方法、实验技术与计算工具。The journal is dedicated to publishing groundbreaking novel methods, experimental techniques, and computational tools across the life sciences and interdisciplinary fields.
该刊发表在生命科学及其相关化学和生物物理学研究中具有高度创新性和广泛实用价值的方法学进展。The journal publishes methodological advances of high novelty and broad utility in the life sciences and related areas of chemistry and biophysics.
其核心报道方向包括成像与显微镜技术、基因组学测序平台、单细胞多组学、蛋白质组学及质谱分析。Its core scope encompasses imaging and microscopy, genomic sequencing platforms, single-cell multiomics, proteomics, and mass spectrometry analysis.
此外，该期刊还着重涵盖基因组编辑系统、结构生物学解析工具，以及用于处理大规模生物学数据的生物信息学软件与算法。Additionally, it highlights genome-editing systems, structural biology tools, and bioinformatics software and algorithms designed for large-scale biological datasets.
除原创研究论文外，期刊每年还会评选“年度方法”（Method of the Year），对过去一年在生物医学界产生深远技术影响的重大方法学突破予以重点介绍。Alongside original research articles, the journal annually names a "Method of the Year" to spotlight significant technological breakthroughs that had a profound impact across biomedical research.
该期刊于2004年10月创刊，旨在为日益依赖复杂技术手段的现代生命科学研究提供一个专门的方法学发布平台。The journal was established in October 2004 to provide a dedicated platform for methodological innovation in modern life sciences, which had become increasingly dependent on sophisticated technological tools.
创刊后不久，期刊于2007年启动了首届“年度方法”专题报道，这一传统随后成为生命科学技术发展风向标之一。Shortly after its launch, the journal initiated its annual "Method of the Year" feature in 2007, a tradition that has since become a recognized benchmark for trends in life science technology.
随着计算生物学与数据密集型科学的兴起，期刊逐步扩大了对开源科学软件、计算分析流程以及算法基准测试标准的收录与规范。With the rise of computational biology and data-intensive science, the journal progressively expanded its coverage and standards for open-source scientific software, computational workflows, and algorithmic benchmarking.
与大多数《自然》子刊类似，《自然-方法》由常驻编辑部的专职职业科学家团队进行独立管理和审稿。In line with most Nature-branded journals, Nature Methods is independently managed and edited by a team of full-time professional editors based in-house.
维罗妮克·基尔默（Véronique Kiermer）自2004年创刊起担任执行主编，主持该刊初创阶段的编辑标准制定与方向确立。Véronique Kiermer served as the founding executive editor starting with the journal's launch in 2004, establishing its initial editorial standards and scope.
丹尼尔·埃弗尔斯（Daniel Evanko）随后接任并长期担任首席主编，在任期内主导了数据共享与技术可重复性规范的推进。Daniel Evanko subsequently served as chief editor for an extended tenure, leading efforts to strengthen standards around data sharing and technical reproducibility.
艾莉森·杜勒（Allison Doerr）于2017年出任首席主编，进一步强化了期刊在单细胞技术、计算工具基准评测和新兴成像模态方面的报道深度。Allison Doerr became the chief editor in 2017, further deepening the journal's coverage of single-cell technologies, computational benchmarking, and emerging imaging modalities.