实验方法库
覆盖上万篇生物顶级期刊，专业引领，成就科研速度！
筛选
根据 “2021 年份” 筛选结果如下：
Evaluation of the effects of cold atmospheric plasma and plasma-treated liquids in cancer cell cultures
Juan Tornin, Cédric Labay, Francesco Tampieri, Maria-Pau Ginebra, Cristina Canal
Subcellular patch-clamp techniques for single-bouton stimulation and simultaneous pre- and postsynaptic recording at cortical synapses
David Vandael, Yuji Okamoto, Carolina Borges-Merjane, Victor Vargas-Barroso, Benjamin A. Suter, Peter Jonas
High-throughput full-length single-cell RNA-seq automation
Lira Mamanova, Zhichao Miao, Ayesha Jinat, Peter Ellis, Lesley Shirley, Sarah A. Teichmann
Sample preparation strategies for efficient correlation of 3D SIM and soft X-ray tomography data at cryogenic temperatures
Chidinma A. Okolo, Ilias Kounatidis, Johannes Groen, Kamal L. Nahas, Stefan Balint, Thomas M. Fish, Mohamed A. Koronfel, Aitziber L. Cortajarena, Ian M. Dobbie, Eva Pereiro, Maria Harkiolaki
Publisher Correction: Overview of the Microbiome Among Nurses study (Micro-N) as an example of prospective characterization of the microbiome within cohort studies
Christine Everett, Chengchen Li, Jeremy E. Wilkinson, Long H. Nguyen, Lauren J. McIver, Kerry Ivey, Jacques Izard, Natalia Palacios, A. Heather Eliassen, Walter C. Willett, Alberto Ascherio, Qi Sun, Shelley S. Tworoger, Andrew T. Chan, Wendy S. Garrett, Curtis Huttenhower, Eric B. Rimm, Mingyang Song
Extraction of nuclei from archived postmortem tissues for single-nucleus sequencing applications
Malosree Maitra, Corina Nagy, Anjali Chawla, Yu Chang Wang, Camila Nascimento, Matthew Suderman, Jean-François Théroux, Naguib Mechawar, Jiannis Ragoussis, Gustavo Turecki
Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets
deep learning embeddings
machine learning
protein annotation pipeline
protein representations
protein visualization
Christian Dallago, Konstantin Schütze, Michael Heinzinger, Tobias Olenyi, Maria Littmann, Amy X. Lu, Kevin K. Yang, Seonwoo Min, Sungroh Yoon, James T. Morton, Burkhard Rost, Christian Dallago, Konstantin Schütze, Michael Heinzinger, Tobias Olenyi, Maria Littmann, Amy X. Lu, Kevin K. Yang, Seonwoo Min, Sungroh Yoon, James T. Morton, Burkhard Rost
An Experimental Liver Metastasis Mouse Model Suitable for Short and Long-Term Intravital Imaging
Dieuwke L. Marvin, Peter ten Dijke, Laila Ritsma, Dieuwke L. Marvin, Peter ten Dijke, Laila Ritsma
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Nenad Tomašev, Natalie Harris, Sebastien Baur, Anne Mottram, Xavier Glorot, Jack W. Rae, Michal Zielinski, Harry Askham, Andre Saraiva, Valerio Magliulo, Clemens Meyer, Suman Ravuri, Ivan Protsyuk, Alistair Connell, Cían O. Hughes, Alan Karthikesalingam, Julien Cornebise, Hugh Montgomery, Geraint Rees, Chris Laing, Clifton R. Baker, Thomas F. Osborne, Ruth Reeves, Demis Hassabis, Dominic King, Mustafa Suleyman, Trevor Back, Christopher Nielson, Martin G. Seneviratne, Joseph R. Ledsam, Shakir Mohamed
Monitoring mammalian mitochondrial translation with MitoRiboSeq
Sophia Hsin-Jung Li, Michel Nofal, Lance R. Parsons, Joshua D. Rabinowitz, Zemer Gitai
