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Citations to this Journal [1,554 citations: 1–100 of 1,503 articles]

Articles published in Advances in Bioinformatics have been cited 1,554 times. The following is a list of the 1,503 articles that have cited the articles published in Advances in Bioinformatics.

  • Mosbeh R. Kaloop, Cemal O. Yigit, and Jong W. Hu, “Analysis of the Dynamic Behavior of Structures Using the High-Rate GNSS-PPP Method Combined with a Wavelet-Neural Model: Numerical Simulation and Experimental Tests,” Advances in Space Research, 2018. View at Publisher · View at Google Scholar
  • Lore Eggermont, Karolina Stefanowicz, and Els J. M. Van Damme, “Nictaba Homologs from Arabidopsis thaliana Are Involved in Plant Stress Responses,” Frontiers in Plant Science, vol. 8, 2018. View at Publisher · View at Google Scholar
  • Enas M.F. El Houby, “A survey on applying machine learning techniques for management of diseases,” Journal of Applied Biomedicine, 2018. View at Publisher · View at Google Scholar
  • Abhishikha Srivastava, and Manish Kumar, “Prediction of zinc binding sites in proteins using sequence derived information,” Journal of Biomolecular Structure and Dynamics, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Debajyoti Sinha, Akhilesh Kumar, Himanshu Kumar, Sanghamitra Bandyopadhyay, and Debarka Sengupta, “dropClust: efficient clustering of ultra-large scRNA-seq data,” Nucleic Acids Research, 2018. View at Publisher · View at Google Scholar
  • Ibtisam Al-Harrasi, Rashid Al-Yahyai, and Mahmoud W. Yaish, “Differential DNA methylation and transcription profiles in date palm roots exposed to salinity,” Plos One, vol. 13, no. 1, pp. e0191492, 2018. View at Publisher · View at Google Scholar
  • Bharati Pandey, Sonam Grover, Sukriti Goyal, Anchala Kumari, Aditi Singh, Salma Jamal, Jagdeep Kaur, and Abhinav Grover, “Alanine mutation of the catalytic sites of Pantothenate Synthetase causes distinct conformational changes in the ATP binding region,” Scientific Reports, vol. 8, no. 1, 2018. View at Publisher · View at Google Scholar
  • Haresh Ajani, Adam Pecina, Saltuk M. Eyrilmez, Jindřich Fanfrlík, Susanta Haldar, Jan Řezáč, Pavel Hobza, and Martin Lepšík, “Superior Performance of the SQM/COSMO Scoring Functions in Native Pose Recognition of Diverse Protein–Ligand Complexes in Cognate Docking,” ACS Omega, vol. 2, no. 7, pp. 4022–4029, 2017. View at Publisher · View at Google Scholar
  • Hasan Baig, and Jan Madsen, “A Simulation Approach for Timing Analysis of Genetic Logic Circuits,” ACS Synthetic Biology, 2017. View at Publisher · View at Google Scholar
  • Ashekul Islam, S.M. Zahid Hosen, Raju Dash, Rasel Das, Md Junaid, and Md Forhad Chowdhury Akash, “In silico-based vaccine design against Ebola virus glycoprotein,” Advances and Applications in Bioinformatics and Chemistry, vol. 10, no. 1, pp. 11–28, 2017. View at Publisher · View at Google Scholar
  • A. V. Sulimov, D. C. Kutov, E. V. Katkova, and V. B. Sulimov, “Combined Docking with Classical Force Field and Quantum Chemical Semiempirical Method PM7,” Advances in Bioinformatics, vol. 2017, pp. 1–6, 2017. View at Publisher · View at Google Scholar
  • Ting Zhang, Dengfeng Tan, Li Zhang, Xiaoyan Zhang, and Zhaoxue Han, “Phylogenetic analysis and drought-responsive expression profiles of the WRKY transcription factor family in maize,” Agri Gene, 2017. View at Publisher · View at Google Scholar
  • Rui Geng, Xubo Ke, Chenglong Wang, Yong He, Huasen Wang, and Zhujun Zhu, “Genome-wide identification and expression analysis of transcription factors in Solanum lycopersicum,” Agri Gene, 2017. View at Publisher · View at Google Scholar
  • Laurent Noé, “Best hits of 11110110111: Model-free selection and parameter-free sensitivity calculation of spaced seeds,” Algorithms for Molecular Biology, vol. 12, no. 1, 2017. View at Publisher · View at Google Scholar
  • Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, John C. Morris, Ronald C. Petersen, Andrew J. Saykin, Leslie M. Shaw, Arthur W. Toga, and John Q. Trojanowski, “Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials,” Alzheimer's & Dementia, 2017. View at Publisher · View at Google Scholar
  • Catalina I. Fernández, and Andrea S. Wiley, “ Rethinking the starch digestion hypothesis for AMY1 copy number variation in humans ,” American Journal of Physical Anthropology, 2017. View at Publisher · View at Google Scholar
  • Carolyn D. Kramer, Alexandra M. Simas, Xianbao He, Robin R. Ingalls, Ellen O. Weinberg, and Caroline Attardo Genco, “Distinct roles for dietary lipids and Porphyromonas gingivalis infection on atherosclerosis progression and the gut microbiota,” Anaerobe, 2017. View at Publisher · View at Google Scholar
  • Thomas Wiegand, Denis Lacabanne, Katharina Keller, Riccardo Cadalbert, Lauriane Lecoq, Maxim Yulikov, Laurent Terradot, Gunnar Jeschke, Beat H. Meier, and Anja Böckmann, “ Festkörper-NMR- und EPR-Spektroskopie an Mn 2+ -substituierten ATP-angetriebenen Proteinmaschinen ,” Angewandte Chemie, 2017. View at Publisher · View at Google Scholar
  • Thomas Wiegand, Denis Lacabanne, Katharina Keller, Riccardo Cadalbert, Lauriane Lecoq, Maxim Yulikov, Laurent Terradot, Gunnar Jeschke, Beat H. Meier, and Anja Böckmann, “ Solid-state NMR and EPR Spectroscopy of Mn 2+ -Substituted ATP-Fueled Protein Engines ,” Angewandte Chemie International Edition, 2017. View at Publisher · View at Google Scholar
  • Firuz Kamalov, and Fadi Thabtah, “A Feature Selection Method Based on Ranked Vector Scores of Features for Classification,” Annals of Data Science, 2017. View at Publisher · View at Google Scholar
  • Jowita Samanta Niczyporuk, “Molecular characterisation of fowl adenovirus type 7 isolated from poultry associated with inclusion body hepatitis in Poland,” Archives of Virology, 2017. View at Publisher · View at Google Scholar
  • Hyeonjeong Lee, and Miyoung Shin, “Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation data,” BioData Mining, vol. 10, no. 1, 2017. View at Publisher · View at Google Scholar
  • Elpidio-Emmanuel Gonzalez-Valbuena, and Víctor Treviño, “Metrics to estimate differential co-expression networks,” BioData Mining, vol. 10, no. 1, 2017. View at Publisher · View at Google Scholar
  • Antonin Ginguay, Luc Cynober, Emmanuel Curis, and Ioannis Nicolis, “Ornithine Aminotransferase, an Important Glutamate-Metabolizing Enzyme at the Crossroads of Multiple Metabolic Pathways,” Biology, vol. 6, no. 1, pp. 18, 2017. View at Publisher · View at Google Scholar
  • D. Caballero, S. Kaushik, V.M. Correlo, J.M. Oliveira, R.L. Reis, and S.C. Kundu, “Organ-on-chip models of cancer metastasis for future personalized medicine: From chip to the patient,” Biomaterials, vol. 149, pp. 98–115, 2017. View at Publisher · View at Google Scholar
  • Jianxiao Liu, and Zonglin Tian, “Verification of Three-Phase Dependency Analysis Bayesian Network Learning Method for Maize Carotenoid Gene Mining,” BioMed Research International, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Majid Masso, “All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds,” BioMed Research International, vol. 2017, pp. 1–17, 2017. View at Publisher · View at Google Scholar
  • Weijun Zhu, Changwei Feng, and Huanmei Wu, “Model Checking Temporal Logic Formulas Using Sticker Automata,” BioMed Research International, vol. 2017, pp. 1–33, 2017. View at Publisher · View at Google Scholar
  • Mindy K. Ross, Ko-Wei Lin, Karen Truong, Abhishek Kumar, and Mike Conway, “ Text Categorization of Heart, Lung, and Blood Studies in the Database of Genotypes and Phenotypes (dbGaP) Utilizing n -grams and Metadata Features ,” Biomedical Informatics Insights, vol. 6, pp. BII.S11987, 2017. View at Publisher · View at Google Scholar
  • Recep Vatansever, Ibrahim Ilker Ozyigit, Ertugrul Filiz, and Nermin Gozukara, “Genome-wide exploration of silicon (Si) transporter genes, Lsi1 and Lsi2 in plants; insights into Si-accumulation status/capacity of plants,” BioMetals, vol. 30, no. 2, pp. 185–200, 2017. View at Publisher · View at Google Scholar
  • Zahra Haghighijoo, Omidreza Firuzi, Bahram Hemmateenejad, Saeed Emami, Najmeh Edraki, and Ramin Miri, “Synthesis and biological evaluation of quinazolinone-based hydrazones with potential use in Alzheimer’s disease,” Bioorganic Chemistry, 2017. View at Publisher · View at Google Scholar
  • Animesh Kumar Paul, and Pintu Chandra Shill, “Incorporating Gene Ontology into Fuzzy Relational Clustering of Microarray Gene Expression Data,” Biosystems, 2017. View at Publisher · View at Google Scholar
  • Chun Chen, Huong Le, Brian Follstad, and Chetan T. Goudar, “A Comparative Transcriptomics Workflow for Analyzing Microarray Data From CHO Cell Cultures,” Biotechnology Journal, pp. 1700228, 2017. View at Publisher · View at Google Scholar
  • Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, and Zoran Obradovic, “Minimum redundancy maximum relevance feature selection approach for temporal gene expression data,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Tanlin Sun, Bo Zhou, Luhua Lai, and Jianfeng Pei, “Sequence-based prediction of protein protein interaction using a deep-learning algorithm,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Shirin Taghipour, Peyman Zarrineh, Mohammad Ganjtabesh, and Abbas Nowzari-Dalini, “Improving protein complex prediction by reconstructing a high-confidence protein-protein interaction network of Escherichia coli from different physical interaction data sources,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Yu-Chiao Chiu, Li-Ju Wang, Tzu-Hung Hsiao, Eric Y. Chuang, and Yidong Chen, “Genome-wide identification of key modulators of gene-gene interaction networks in breast cancer,” BMC Genomics, vol. 18, no. S6, 2017. View at Publisher · View at Google Scholar
  • Cheng Zhao, Guosong Zhang, Shaowu Yin, Zecheng Li, Qintao Wang, Shuqiao Chen, and Guoqin Zhou, “Integrated analysis of mRNA-seq and miRNA-seq reveals the potential roles of sex-biased miRNA-mRNA pairs in gonad tissue of dark sleeper (Odontobutis potamophila),” BMC Genomics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Tengfei Dou, Sumei Zhao, Hua Rong, Dahai Gu, Qihua Li, Ying Huang, Zhiqiang Xu, Xiaohui Chu, Linli Tao, Lixian Liu, Changrong Ge, Marinus F.W. te Pas, and Junjing Jia, “Biological mechanisms discriminating growth rate and adult body weight phenotypes in two Chinese indigenous chicken breeds,” BMC Genomics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Pacharmon Kaewprag, Cheryl Newton, Brenda Vermillion, Sookyung Hyun, Kun Huang, and Raghu Machiraju, “Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks,” BMC Medical Informatics and Decision Making, vol. 17, no. S2, 2017. View at Publisher · View at Google Scholar
  • John W. Riggs, Philip C. Cavales, Sonia M. Chapiro, and Judy Callis, “Identification and biochemical characterization of the fructokinase gene family in Arabidopsis thaliana,” BMC Plant Biology, vol. 17, no. 1, 2017. View at Publisher · View at Google Scholar
  • Rosita E. Yocgo, Ephifania Geza, Emile R. Chimusa, and Gaston K. Mazandu, “A post-gene silencing bioinformatics protocol for plant-defence gene validation and underlying process identification: case study of the Arabidopsis thaliana NPR1,” BMC Plant Biology, vol. 17, no. 1, 2017. View at Publisher · View at Google Scholar
  • Stephanie P. Cartwright, Roslyn M. Bill, Bui Tien Sy, Hieu Tran-Van, and Hung Minh Nguyen, “Rapid expression and purification of the hepatitis delta virus antigen using the methylotropic yeast Pichia pastoris,” BMC Research Notes, vol. 10, no. 1, 2017. View at Publisher · View at Google Scholar
  • Eirik Skogvoll, Olav Spigset, Andreas Austgulen Westin, Malin Brekke, Espen Molden, and Marianne Aadal, “Changes in drug disposition of lithium during pregnancy: A retrospective observational study of patient data from two routine therapeutic drug monitoring services in Norway,” BMJ Open, vol. 7, no. 3, 2017. View at Publisher · View at Google Scholar
  • Wen-Chieh Tsai, Anne Dievart, Chia-Chi Hsu, Yu-Yun Hsiao, Shang-Yi Chiou, Hsin Huang, and Hong-Hwa Chen, “Post genomics era for orchid research,” Botanical Studies, vol. 58, no. 1, 2017. View at Publisher · View at Google Scholar
  • Leo Edlinger, Angelika Berger-Becvar, Ingeborg Menzl, Gregor Hoermann, Georg Greiner, Eva Grundschober, Zsuzsanna Bago-Horvath, Wael Al-Zoughbi, Gerald Hoefler, Christine Brostjan, Lars Gille, Richard Moriggl, Andreas Spittler, Veronika Sexl, and Andrea Hoelbl-Kovacic, “ Expansion of BCR/ABL1 + cells requires PAK2 but not PAK1 ,” British Journal of Haematology, 2017. View at Publisher · View at Google Scholar
  • D.C. Kutov, E.V. Katkova, A.V. Sulimov, O.A. Kondakova, and V.B. Sulimov, “Influence of the Method of Hydrogen Atoms Incorporation Into the Target Protein on the Protein-Ligand Binding Energy,” Bulletin of the South Ural State University. Series "Mathematical Modelling, Programming and Computer Software", vol. 10, no. 3, pp. 94–107, 2017. View at Publisher · View at Google Scholar
  • Takanori Ohata, Hideki Yokoo, Toshiya Kamiyama, Moto Fukai, Takeshi Aiyama, Yutaka Hatanaka, Kanako Hatanaka, Kenji Wakayama, Tatsuya Orimo, Tatsuhiko Kakisaka, Nozomi Kobayashi, Yoshihiro Matsuno, and Akinobu Taketomi, “Fatty acid-binding protein 5 function in hepatocellular carcinoma through induction of epithelial-mesenchymal transition,” Cancer Medicine, 2017. View at Publisher · View at Google Scholar
  • Ryan G. Gaudet, Cynthia X. Guo, Raphael Molinaro, Haila Kottwitz, John R. Rohde, Anne-Sophie Dangeard, Cécile Arrieumerlou, Stephen E. Girardin, and Scott D. Gray-Owen, “Innate Recognition of Intracellular Bacterial Growth Is Driven by the TIFA-Dependent Cytosolic Surveillance Pathway,” Cell Reports, vol. 19, no. 7, pp. 1418–1430, 2017. View at Publisher · View at Google Scholar
  • Martin Krallinger, Obdulia Rabal, Anália Lourenço, Julen Oyarzabal, and Alfonso Valencia, “Information Retrieval and Text Mining Technologies for Chemistry,” Chemical Reviews, 2017. View at Publisher · View at Google Scholar
  • Ashok K. Singh, Vinit Raj, Amit K. Keshari, Amit Rai, Pranesh Kumar, Atul Rawat, Biswanath Maity, Dinesh Kumar, Anand Prakash, Arnab De, Amalesh Samanta, Bolay Bhattacharya, and Sudipta Saha, “Isolated mangiferin and naringenin exert antidiabetic effect via PPAR γ /GLUT4 dual agonistic action with strong metabolic regulation,” Chemico-Biological Interactions, 2017. View at Publisher · View at Google Scholar
  • Hervé Seligmann, and Ganesh Warthi, “Genetic Code Optimization for Cotranslational Protein Folding: Codon Directional Asymmetry Correlates with Antiparallel Betasheets, tRNA Synthetase Classes,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Paul W. Bible, Hong-Wei Sun, Maria I. Morasso, Rasiah Loganantharaj, and Lai Wei, “The effects of shared information on semantic calculations in the Gene Ontology,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Alexey V. Sulimov, Dmitry A. Zheltkov, Igor V. Oferkin, Danil C. Kutov, Ekaterina V. Katkova, Eugene E. Tyrtyshnikov, and Vladimir B. Sulimov, “Evaluation of the novel algorithm of flexible ligand docking with moveable target-protein atoms,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Ioannis Kavakiotis, Olga Tsave, Athanasios Salifoglou, Nicos Maglaveras, Ioannis Vlahavas, and Ioanna Chouvarda, “Machine Learning and Data Mining Methods in Diabetes Research,” Computational and Structural Biotechnology Journal, 2017. View at Publisher · View at Google Scholar
  • Mohamed Awad, Ragab M. Fahmy, Kareem A. Mosa, Mohamed Helmy, and Fawzy A. El-Feky, “Identification of effective DNA barcodes for Triticum plants through chloroplast genome-wide analysis,” Computational Biology and Chemistry, vol. 71, pp. 20–31, 2017. View at Publisher · View at Google Scholar
  • Mihiretu Kebede, Desalegn Tigabu Zegeye, and Berihun Megabiaw Zeleke, “Predicting CD4 count changes among patients on Antiretroviral Treatment: Application of data mining techniques,” Computer Methods and Programs in Biomedicine, 2017. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “A novel and robust bayesian approach for segmentation of psoriasis lesions and its risk stratification,” Computer Methods and Programs in Biomedicine, 2017. View at Publisher · View at Google Scholar
  • Cheng-Hong Yang, Zi-Jie Weng, Li-Yeh Chuang, and Cheng-San Yang, “Identification of SNP-SNP interaction for chronic dialysis patients,” Computers in Biology and Medicine, 2017. View at Publisher · View at Google Scholar
  • Juan Ramos-González, Daniel López-Sánchez, Jose A. Castellanos-Garzón, Juan F. de Paz, and Juan M. Corchado, “A CBR framework with gradient boosting based feature selection for lung cancer subtype classification,” Computers in Biology and Medicine, 2017. View at Publisher · View at Google Scholar
  • Xiaomei Gao, and Yanrui Ding, “Using the residue interaction network improve the classification of thermophilic and mesophilic proteins,” Current Bioinformatics, vol. 12, no. 3, pp. 249–257, 2017. View at Publisher · View at Google Scholar
  • Fabrizio Pucci, and Marianne Rooman, “Physical and molecular bases of protein thermal stability and cold adaptation,” Current Opinion in Structural Biology, vol. 42, pp. 117–128, 2017. View at Publisher · View at Google Scholar
  • Benjamin Buysschaert, Frederiek-Maarten Kerckhof, Peter Vandamme, Bernard De Baets, and Nico Boon, “Flow cytometric fingerprinting for microbial strain discrimination and physiological characterization,” Cytometry Part A, 2017. View at Publisher · View at Google Scholar
  • Stefano Amalfitano, Stefano Fazi, Elisabet Ejarque, Anna Freixa, Anna M. Romaní, and Andrea Butturini, “Deconvolution model to resolve cytometric microbial community patterns in flowing waters,” Cytometry Part A, 2017. View at Publisher · View at Google Scholar
  • Asier Antoranz, Theodore Sakellaropoulos, Julio Saez-Rodriguez, and Leonidas G. Alexopoulos, “Mechanism-based biomarker discovery,” Drug Discovery Today, 2017. View at Publisher · View at Google Scholar
  • Julie Dyall, Robin Gross, Jason Kindrachuk, Reed F. Johnson, Gene G. Olinger, Lisa E. Hensley, Matthew B. Frieman, and Peter B. Jahrling, “Middle East Respiratory Syndrome and Severe Acute Respiratory Syndrome: Current Therapeutic Options and Potential Targets for Novel Therapies,” Drugs, 2017. View at Publisher · View at Google Scholar
  • Jan Paces, Miloslav Nic, Tomas Novotny, and Petr Svoboda, “Literature review of baseline information to support the risk assessment of RNAi?based GM plants,” EFSA Supporting Publications, vol. 14, no. 6, 2017. View at Publisher · View at Google Scholar
  • Elie Bouri, Rangan Gupta, Seyedmehdi Hosseini, and Chi Keung Marco Lau, “Does global fear predict fear in BRICS stock markets? Evidence from a Bayesian Graphical Structural VAR model,” Emerging Markets Review, 2017. View at Publisher · View at Google Scholar
  • Fernanda Alves de Freitas Guedes, Priscilla Nobres, Daniela Cristina Rodrigues Ferreira, Paulo Eduardo Menezes-Silva, Marcelo Ribeiro-Alves, Régis Lopes Correa, Fábio Murilo DaMatta, and Márcio Alves-Ferreira, “Transcriptional memory contributes to drought tolerance in coffee ( Coffea canephora) plants,” Environmental and Experimental Botany, 2017. View at Publisher · View at Google Scholar
  • Srishty Subramanian, Jerald L. Schnoor, and Benoit Van Aken, “ Effects of Polychlorinated Biphenyls (PCBs) and Their Hydroxylated Metabolites (OH-PCBs) on Arabidopsis thaliana ,” Environmental Science & Technology, 2017. View at Publisher · View at Google Scholar
  • Andrea Cossarizza, Hyun-Dong Chang, Andreas Radbruch, Immanuel Andrä, Francesco Annunziato, Petra Bacher, Vincenzo Barnaba, Luca Battistini, Wolfgang M. Bauer, Sabine Baumgart, Burkhard Becher, Wolfgang Beisker, Claudia Berek, Alfonso Blanco, Giovanna Borsellino, Philip E. Boulais, Ryan R. Brinkman, Martin Büscher, Dirk H. Busch, Timothy P. Bushnell, Xuetao Cao, Andrea Cavani, Pratip K. Chattopadhyay, Qingyu Cheng, Sue Chow, Mario Clerici, Anne Cooke, Antonio Cosma, Lorenzo Cosmi, Ana Cumano, Van Duc Dang, Derek Davies, Sara De Biasi, Genny Del Zotto, Silvia Della Bella, Paolo Dellabona, Günnur Deniz, Mark Dessing, Andreas Diefenbach, James Di Santo, Francesco Dieli, Andreas Dolf, Vera S. Donnenberg, Thomas Dörner, Götz R. A. Ehrhardt, Elmar Endl, Pablo Engel, Britta Engelhardt, Charlotte Esser, Bart Everts, Christine S. Falk, Todd A. Fehniger, Andrew Filby, Simon Fillatreau, Marie Follo, Irmgard Förster, John Foster, Gemma A. Foulds, Paul S. Frenette, David Galbraith, Natalio Garbi, Maria Dolores García-Godoy, Kamran Ghoreschi, Lara Gibellini, Christoph Goettlinger, Carl S. Goodyear, Andrea Gori, Jane Grogan, Mor Gross, Andreas Grützkau, Daryl Grummitt, Jonas Hahn, Quirin Hammer, Anja E. Hauser, David L. Haviland, David Hedley, Guadalupe Herrera, Martin Herrmann, Falk Hiepe, Tristan Holland, Pleun Hombrink, Jessica P. Houston, Bimba F. Hoyer, Bo Huang, Christopher A. Hunter, Anna Iannone, Hans-Martin Jäck, Beatriz Jávega, Stipan Jonjic, Kerstin Juelke, Steffen Jung, Toralf Kaiser, Tomas Kalina, Baerbel Keller, Srijit Khan, Deborah Kienhöfer, Thomas Kroneis, Désirée Kunkel, Christian Kurts, Pia Kvistborg, Joanne Lannigan, Olivier Lantz, Anis Larbi, Salome LeibundGut-Landmann, Michael D. Leipold, Megan K. Levings, Virginia Litwin, Yanling Liu, Michael Lohoff, Giovanna Lombardi, Lilly Lopez, Amy Lovett-Racke, Erik Lubberts, Burkhard Ludewig, Enrico Lugli, Holden T. Maecker, Glòria Martrus, Giuseppe Matarese, Christian Maueröder, Mairi McGrath, Iain McInnes, Henrik E. Mei, Fritz Melchers, Susanne Melzer, Dirk Mielenz, Kingston Mills, Jenny Mjösberg, Jonni Moore, Barry Moran, Alessandro Moretta, Lorenzo Moretta, Tim R. Mosmann, Susann Müller, Werner Müller, Christian Münz, Gabriele Multhoff, Luis Enrique Munoz, Kenneth M. Murphy, Toshinori Nakayama, Milena Nasi, Christine Neudörfl, John Nolan, Sussan Nourshargh, José-Enrique O'Connor, Wenjun Ouyang, Annette Oxenius, Raghav Palankar, Isabel Panse, Pärt Peterson, Christian Peth, Jordi Petriz, Daisy Philips, Winfried Pickl, Silvia Piconese, Marcello Pinti, A. Graham Pockley, Malgorzata Justyna Podolska, Carlo Pucillo, Sally A. Quataert, Timothy R. D. J. Radstake, Bartek Rajwa, Jonathan A. Rebhahn, Diether Recktenwald, Ester B.M. Remmerswaal, Katy Rezvani, Laura G. Rico, J. Paul Robinson, Chiara Romagnani, Anna Rubartelli, Jürgen Ruland, Shimon Sakaguchi, Francisco Sala-de-Oyanguren, Yvonne Samstag, Sharon Sanderson, Birgit Sawitzki, Alexander Scheffold, Matthias Schiemann, Frank Schildberg, Esther Schimisky, Stephan A Schmid, Steffen Schmitt, Kilian Schober, Thomas Schüler, Axel Ronald Schulz, Ton Schumacher, Cristiano Scotta, T. Vincent Shankey, Anat Shemer, Anna-Katharina Simon, Josef Spidlen, Alan M. Stall, Regina Stark, Christina Stehle, Merle Stein, Tobit Steinmetz, Hannes Stockinger, Yousuke Takahama, Attila Tarnok, ZhiGang Tian, Gergely Toldi, Julia Tornack, Elisabetta Traggiai, Joe Trotter, Henning Ulrich, Marlous van der Braber, René A. W. van Lier, Marcello Veldhoen, Salvador Vento-Asturias, Paulo Vieira, David Voehringer, Hans-Dieter Volk, Konrad von Volkmann, Ari Waisman, Rachael Walker, Michael D. Ward, Klaus Warnatz, Sarah Warth, James V. Watson, Carsten Watzl, Leonie Wegener, Annika Wiedemann, Jürgen Wienands, Gerald Willimsky, James Wing, Peter Wurst, Liping Yu, Alice Yue, Qianjun Zhang, Yi Zhao, Susanne Ziegler, and Jakob Zimmermann, ̶ View at Publisher · View at Google Scholar
  • Kristian F. Mose, Mark Burton, Mads Thomassen, Flemming Andersen, Torben A. Kruse, Qihua Tan, Lone Skov, Mads A. Røpke, Thomas Litman, Ole Clemmensen, Bjarne W. Kristensen, Peter S. Friedmann, and Klaus E. Andersen, “The gene expression and immunohistochemical time-course of diphenylcyclopropenone-induced contact allergy in healthy humans following repeated epicutaneous challenges,” Experimental Dermatology, 2017. View at Publisher · View at Google Scholar
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  • Bijesh Puthusseri, Peethambaran Divya, Lokesh Veeresh, Gyanendra Kumar, and Bhagyalakshmi Neelwarne, “Evaluation of folate-binding proteins and stability of folates in plant foliages,” Food Chemistry, 2017. View at Publisher · View at Google Scholar
  • Sujoy Roy, Daqing Yun, Behrouz Madahian, Michael W. Berry, Lih-Yuan Deng, Daniel Goldowitz, and Ramin Homayouni, “Navigating the Functional Landscape of Transcription Factors via Non-Negative Tensor Factorization Analysis of MEDLINE Abstracts,” Frontiers in Bioengineering and Biotechnology, vol. 5, 2017. View at Publisher · View at Google Scholar
  • Douglas Arneson, Le Shu, Brandon Tsai, Rio Barrere-Cain, Christine Sun, and Xia Yang, “Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease,” Frontiers in Cardiovascular Medicine, vol. 4, 2017. View at Publisher · View at Google Scholar
  • Vladislav V. Khrustalev, Tatyana A. Khrustaleva, Nitin Sharma, and Rajanish Giri, “Mutational Pressure in Zika Virus: Local ADAR-Editing Areas Associated with Pauses in Translation and Replication,” Frontiers in Cellular and Infection Microbiology, vol. 7, 2017. View at Publisher · View at Google Scholar
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  • Xiaoling Lv, Kui Zhao, Yungang Lan, Zi Li, Ning Ding, Jingjing Su, Huijun Lu, Deguang Song, Feng Gao, and Wenqi He, “miR-21a-5p Contributes to Porcine Hemagglutinating Encephalomyelitis Virus Proliferation via Targeting CASK-Interactive Protein1 In vivo and vitro,” Frontiers in Microbiology, vol. 8, 2017. View at Publisher · View at Google Scholar
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