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NATURE METHODS

來源: 樹人論文網(wǎng) 瀏覽次數(shù):329次
ISSN:1548-7091
影響因子:28.467
是否開源:No
錄用比:極難
研究方向:生物
網(wǎng)友分享經(jīng)驗:約1.0個月

NATURE METHODS雜志中文介紹

《自然方法》是一個出版新方法的論壇,并對生命科學(xué)中久經(jīng)考驗的基礎(chǔ)研究技術(shù)進行重大改進。這本月刊面向廣泛的、跨學(xué)科的、積極參與實驗室實踐的學(xué)術(shù)和行業(yè)研究人員。它為他們提供了進行研究的新工具,并特別強調(diào)所提出的工作的直接實際意義。該雜志出版主要的研究論文,以及對最近技術(shù)和方法發(fā)展的綜述。我們正在積極尋找與生物和生物醫(yī)學(xué)科學(xué)相關(guān)的主要方法論文,包括基于化學(xué)的方法,對生物問題的研究有實際應(yīng)用。為了提高每篇論文的實際相關(guān)性,必須在描述該方法的同時對其進行驗證,將其應(yīng)用于一個重要的生物學(xué)問題,并將結(jié)果與現(xiàn)有方法進行比較,說明其性能。選擇發(fā)表的文章應(yīng)具有廣泛的興趣,對方法的執(zhí)行情況進行全面的評估,并提供全面的技術(shù)說明,以便立即加以應(yīng)用。感興趣的具體領(lǐng)域包括但不限于:核酸操作、擴增和測序方法蛋白質(zhì)工程、表達和純化方法蛋白質(zhì)組學(xué)的方法,包括質(zhì)譜分析、結(jié)合相互作用分析、基于微陣列的技術(shù)、顯示技術(shù)、翻譯后修飾分析、糖生物學(xué)和代謝組學(xué)系統(tǒng)生物學(xué)的方法,包括蛋白質(zhì)組學(xué)方法、蛋白質(zhì)相互作用分析方法和基因組廣泛表達和調(diào)控譜生物分子結(jié)構(gòu)分析技術(shù),包括核磁共振和晶體學(xué)化學(xué)生物學(xué)技術(shù),包括化學(xué)標記,擴展遺傳密碼和定向進化的方法生物物理方法,包括單分子和芯片上的實驗室技術(shù)光學(xué)和非光學(xué)成像技術(shù),包括探針設(shè)計和標記方法,顯微鏡,光譜學(xué)和體內(nèi)成像基因表達的分析和操作技術(shù),包括表觀遺傳學(xué)、基因靶向、轉(zhuǎn)導(dǎo)、RNA干擾和基于微陣列的技術(shù)細胞培養(yǎng)和操作的方法,包括干細胞、單細胞方法和芯片上的實驗室技術(shù)免疫學(xué)技術(shù),包括產(chǎn)生抗體,基于抗體的檢測和免疫標記研究包括癌癥在內(nèi)的生理和疾病過程的方法方法包括模型生物及其操作和表型用于分析、建模或可視化生物數(shù)據(jù)的計算方法和生物信息學(xué)方法基于納米技術(shù)的方法應(yīng)用于基礎(chǔ)生物學(xué)

NATURE METHODS雜志英文介紹

Nature Methods is a forum for the publication of novel methods and significant improvements to tried-and-tested basic research techniques in the life sciences. This monthly publication is aimed at a broad, interdisciplinary audience of academic and industry researchers actively involved in laboratory practice. It provides them with new tools to conduct their research and places a strong emphasis on the immediate practical relevance of the work presented.The journal publishes primary research papers as well as overviews of recent technical and methodological developments. We are actively seeking primary methods papers of relevance to the biological and biomedical sciences, including methods grounded in chemistry that have a practical application to the study of biological problems.To enhance the practical relevance of each paper, description of the method must be accompanied by its validation, its application to an important biological question and results illustrating its performance in comparison to available approaches. Articles are selected for publication that present broad interest, thorough assessments of methodological performance and comprehensive technical descriptions that facilitate immediate application.Specific areas of interest include, but are not limited to:Methods for nucleic acid manipulation, amplification and sequencingMethods for protein engineering, expression and purificationMethods for proteomics, including mass spectrometry, analysis of binding interactions, microarray-based technologies, display techniques, analysis of post-translational modifications, glycobiology and metabolomicsMethods for systems biology, including proteomics approaches, protein interaction analysis methods and genome wide expression and regulation profilingBiomolecular structural analysis technologies, including NMR and crystallographyChemical biology techniques, including chemical labeling, methods for expanding the genetic code and directed evolutionBiophysical methods, including single molecule and lab-on-a-chip technologiesOptical and non-optical imaging technologies, including probe design and labeling methods, microscopy, spectroscopy and in vivo imagingTechniques for the analysis and manipulation of gene expression, including epigenetics, gene targeting, transduction, RNA interference and microarray-based technologiesMethods for cell culture and manipulation, including stem cells, single cell methods and lab-on-a-chip technologiesImmunological techniques, including production of antibodies, antibody-based assays and immunolabelingMethods for the study of physiology and disease processes including cancerMethods involving model organisms and their manipulation and phenotypingComputational and bioinformatic methods for analysis, modeling or visualization of biological dataNanotechnology-based methods applied to basic biology

NATURE METHODS影響因子

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