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Citations to this Journal [1,116 citations: 1–100 of 1,074 articles]

Articles published in Advances in Bioinformatics have been cited 1,116 times. The following is a list of the 1,074 articles that have cited the articles published in Advances in Bioinformatics.

  • Krishna P. Singh, Neeraj Verma, Bashir A. Akhoon, Vishal Bhatt, Shishir K. Gupta, Shailendra K. Gupta, and Suchi Smita, “Sequence-based approach for rapid identification of cross-clade CD8+ T-cell vaccine candidates from all high-risk HPV strains,” 3 Biotech, vol. 6, no. 1, 2016. View at Publisher · View at Google Scholar
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  • Charles A. Galea, Aamira Huq, Paul J. Lockhart, Geneieve Tai, Louise A. Corben, Eppie M. Yiu, Lyle C. Gurrin, David R. Lynch, Sarah Gelbard, Alexandra Durr, Francoise Pousset, Michael Parkinson, Robyn Labrum, Paola Giunti, Susan L. Perlman, Martin B. Delatycki, and Marguerite V. Evans-Galea, “ Compound heterozygous FXN mutations and clinical outcome in friedreich ataxia ,” Annals of Neurology, vol. 79, no. 3, pp. 485–495, 2016. View at Publisher · View at Google Scholar
  • Mohamed Helmy, Mohamed Awad, and Kareem A. Mosa, “Limited resources of genome sequencing in developing countries: Challenges and solutions,” Applied & Translational Genomics, 2016. View at Publisher · View at Google Scholar
  • Volkan Uslan, and Huseyin Seker, “Quantitative prediction of peptide binding affinity by using hybrid fuzzy support vector regression,” Applied Soft Computing, 2016. View at Publisher · View at Google Scholar
  • Agustín Ostachuk, “Bovine viral diarrhea virus structural protein E2 as a complement regulatory protein,” Archives of Virology, 2016. View at Publisher · View at Google Scholar
  • Ingo Heilmann, “Plant phosphoinositide signaling - dynamics on demand,” Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, 2016. View at Publisher · View at Google Scholar
  • Z. Liu, Y. S. Luan, and J. B. Li, “Molecular cloning and expression analysis of SpWRKY6 gene from Solanum pimpinellifolium,” Biologia Plantarum, 2016. View at Publisher · View at Google Scholar
  • Salvatore Camiolo, Gaurav Sablok, and Andrea Porceddu, “Altools: a user friendly NGS data analyser,” Biology Direct, vol. 11, no. 1, 2016. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “A novel approach to multiclass psoriasis disease risk stratification: Machine learning paradigm,” Biomedical Signal Processing and Control, vol. 28, pp. 27–40, 2016. View at Publisher · View at Google Scholar
  • R. Kinet, P. Dzaomuho, J. Baert, B. Taminiau, G. Daube, C. Nezer, Y. Brostaux, F. Nguyen, G. Dumont, P. Thonart, and F. Delvigne, “Flow cytometry community fingerprinting and amplicon sequencing for the assessment of landfill leachate cellulolytic bioaugmentation,” Bioresource Technology, 2016. View at Publisher · View at Google Scholar
  • Kerstin Johnsson, Jonas Wallin, and Magnus Fontes, “BayesFlow: latent modeling of flow cytometry cell populations,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Sanja Glišić, David P. Cavanaugh, Krishnan K. Chittur, Milan Sencanski, Vladimir Perovic, and Tijana Bojić, “Common molecular mechanism of the hepatic lesion and the cardiac parasympathetic regulation in chronic hepatitis C infection: a critical role for the muscarinic receptor type 3,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Yijia Zhang, Hongfei Lin, Zhihao Yang, and Jian Wang, “Construction of dynamic probabilistic protein interaction networks for protein complex identification,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Nicola Prezza, Francesco Vezzi, Max Käller, and Alberto Policriti, “Fast, accurate, and lightweight analysis of BS-treated reads with ERNE 2,” BMC Bioinformatics, vol. 17, no. S4, 2016. View at Publisher · View at Google Scholar
  • Lingfeng Zeng, Rong Deng, Ziping Guo, Shushen Yang, and Xiping Deng, “Genome-wide identification and characterization of Glyceraldehyde-3-phosphate dehydrogenase genes family in wheat (Triticum aestivum),” BMC Genomics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Brian Dean, Madhara Udawela, and Elizabeth Scarr, “Validating reference genes using minimally transformed qpcr data: findings in human cortex and outcomes in schizophrenia,” BMC Psychiatry, vol. 16, no. 1, 2016. View at Publisher · View at Google Scholar
  • Ahmad Chaddad, and Camel Tanougast, “Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images,” Brain Informatics, 2016. View at Publisher · View at Google Scholar
  • Panagiota Economopoulou, and Amanda Psyrri, “Organ-specific gene modulation: Principles and applications in cancer research,” Cancer Letters, 2016. View at Publisher · View at Google Scholar
  • Marie Barberon, Joop Engelbertus Martinus Vermeer, Damien De Bellis, Peng Wang, Sadaf Naseer, Tonni Grube Andersen, Bruno Martin Humbel, Christiane Nawrath, Junpei Takano, David Edward Salt, and Niko Geldner, “Adaptation of Root Function by Nutrient-Induced Plasticity of Endodermal Differentiation,” Cell, vol. 164, no. 3, pp. 447–459, 2016. View at Publisher · View at Google Scholar
  • Gurpreet Kaur, and Pratap Kumar Pati, “Analysis of cis-acting regulatory elements of Respiratory burst oxidase homolog (Rboh) gene families in Arabidopsis and rice provides clues for their diverse functions,” Computational Biology and Chemistry, 2016. View at Publisher · View at Google Scholar
  • Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, and Jasjit S. Suri, “A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens,” Computer Methods And Programs In Biomedicine, vol. 124, pp. 161–179, 2016. View at Publisher · View at Google Scholar
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind,” Computer Methods And Programs In Biomedicine, vol. 126, pp. 98–109, 2016. View at Publisher · View at Google Scholar
  • Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj K. Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, and Jasjit S. Suri, “PCA-based Polling Strategy in Machine Learning Framework for Coronary Artery Disease Risk Assessment in Intravascular Ultrasound: A Link between Carotid and Coronary Grayscale Plaque Morphology,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Luca Saba, Nilanjan Dey, Amira S. Ashour, Sourav Samanta, Siddhartha Sankar Nath, Sayan Chakraborty, João Sanches, Dinesh Kumar, RuiTato Marinho, and Jasjit S. Suri, “Automated Stratification of Liver Disease in Ultrasound: An Online Accurate Feature Classification Paradigm,” Computer Methods and Programs in Biomedicine, 2016. View at Publisher · View at Google Scholar
  • Joao Pedrosa, Daniel Barbosa, Nuno Almeida, Olivier Bernard, Johan Bosch, and Jan D'hooge, “Cardiac Chamber Volumetric Assessment Using 3D Ultrasound - A Review,” Current Pharmaceutical Design, vol. 22, no. 1, pp. 105–121, 2016. View at Publisher · View at Google Scholar
  • John Zaunders, Junmei Jing, Michael Leipold, Holden Maecker, Anthony D. Kelleher, and Inge Koch, “Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms,” Cytometry Part A, vol. 89A, no. 1, pp. 44–58, 2016. View at Publisher · View at Google Scholar
  • Ioannis K. Moutsatsos, and Christian N. Parker, “Recent advances in quantitative high throughput and high content data analysis,” Expert Opinion on Drug Discovery, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Emma R. Lindsay, and Frans J. M. Maathuis, “ Arabidopsis thaliana NIP7;1 is involved in tissue arsenic distribution and tolerance in response to arsenate ,” FEBS Letters, vol. 590, no. 6, pp. 779–786, 2016. View at Publisher · View at Google Scholar
  • Bonnie L. Hurwitz, Jana M. U'Ren, and Ken Youens-Clark, “Computational prospecting the great viral unknown,” FEMS Microbiology Letters, vol. 363, no. 10, pp. fnw077, 2016. View at Publisher · View at Google Scholar
  • Mannan Hajimahmoodi, Mahnaz Khanavi, Omid Sadeghpour, Mohammad Reza Shams Ardekani, Fatemeh Zamani Mazde, Mina Sadat Khoddami, Sheida Afzalifard, and Ali Mohammad Ranjbar, “Application of Organic Acid Based Artificial Neural Network Modeling for Assessment of Commercial Vinegar Authenticity,” Food Analytical Methods, 2016. View at Publisher · View at Google Scholar
  • Sherry-Ann Brown, “Principles for Developing Patient Avatars in Precision and Systems Medicine,” Frontiers in Genetics, vol. 6, 2016. View at Publisher · View at Google Scholar
  • Richard O. Akinola, Gaston K. Mazandu, and Nicola J. Mulder, “A Quantitative Approach to Analyzing Genome Reductive Evolution Using Protein–Protein Interaction Networks: A Case Study of Mycobacterium leprae,” Frontiers in Genetics, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Behailu B. Aklilu, and Kevin M. Culligan, “Molecular Evolution and Functional Diversification of Replication Protein A1 in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Ibrahim I. Ozyigit, Ertugrul Filiz, Recep Vatansever, Kuaybe Y. Kurtoglu, Ibrahim Koc, Münir X. Öztürk, and Naser A. Anjum, “Identification and Comparative Analysis of H2O2-Scavenging Enzymes (Ascorbate Peroxidase and Glutathione Peroxidase) in Selected Plants Employing Bioinformatics Approaches,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Kostadin E. Atanasov, Luis Barboza-Barquero, Antonio F. Tiburcio, and Rubén Alcázar, “Genome Wide Association Mapping for the Tolerance to the Polyamine Oxidase Inhibitor Guazatine in Arabidopsis thaliana,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Elise A. R. Serin, Harm Nijveen, Henk W. M. Hilhorst, and Wilco Ligterink, “Learning from Co-expression Networks: Possibilities and Challenges,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Guglielmo Lucchese, “Understanding Neuropsychiatric Diseases, Analyzing the Peptide Sharing between Infectious Agents and the Language-Associated NMDA 2A Protein,” Frontiers in Psychiatry, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Bharati Pandey, Sonam Grover, Chetna Tyagi, Sukriti Goyal, Salma Jamal, Aditi Singh, Jagdeep Kaur, and Abhinav Grover, “Molecular principles behind pyrazinamide resistance due to mutations in panD gene in Mycobacterium tuberculosis,” Gene, 2016. View at Publisher · View at Google Scholar
  • Cong Yu, Hui Yin Tan, Meerim Choi, Adam J. Stanenas, Alicia K. Byrd, Kevin D. Raney, Christopher S. Cohan, and Piero R. Bianco, “ SSB binds to the RecG and PriA helicases in vivo in the absence of DNA ,” Genes to Cells, 2016. View at Publisher · View at Google Scholar
  • Yan-Li Chang, Wen-Yan Li, Hai Miao, Shuai-Qi Yang, Ri Li, Xiang Wang, Wen-Qiang Li, and Kun-Ming Chen, “Comprehensive Genomic Analysis and Expression Profiling of the NOX Gene Families under Abiotic Stresses and Hormones in Plants,” Genome Biology and Evolution, vol. 8, no. 3, pp. 791–810, 2016. View at Publisher · View at Google Scholar
  • Regis A. James, Ian M. Campbell, Edward S. Chen, Philip M. Boone, Mitchell A. Rao, Matthew N. Bainbridge, James R. Lupski, Yaping Yang, Christine M. Eng, Jennifer E. Posey, and Chad A. Shaw, “A visual and curatorial approach to clinical variant prioritization and disease gene discovery in genome-wide diagnostics,” Genome Medicine, vol. 8, no. 1, 2016. View at Publisher · View at Google Scholar
  • Shansong Yang, Weiming Lu, Zhanjiang Zhang, Baogang Wei, and Wenjia An, “Amplifying scientific paper’s abstract by leveraging data-weighted reconstruction,” Information Processing & Management, 2016. View at Publisher · View at Google Scholar
  • Basak Esin Kokturk, and Bilge Karacali, “Annealing-based model-free expectation maximisation for multi-colour flow cytometry data clustering,” International Journal Of Data Mining And Bioinformatics, vol. 14, no. 1, pp. 86–99, 2016. View at Publisher · View at Google Scholar
  • Saba Bashir, Usman Qamar, and Farhan Hassan Khan, “IntelliHealth: A medical decision support application using a novel weighted multi-layer classifier ensemble framework,” Journal of Biomedical Informatics, vol. 59, pp. 185–200, 2016. View at Publisher · View at Google Scholar
  • Mukesh Kumar, Nitish Kumar Rath, and Santanu Kumar Rath, “Analysis of Microarray Leukemia Data Using an Efficient MapReduce-Based K-Nearest-Neighbor Classifier,” Journal of Biomedical Informatics, 2016. View at Publisher · View at Google Scholar
  • Farrokh Mehryary, Suwisa Kaewphan, Kai Hakala, and Filip Ginter, “Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification,” Journal of Biomedical Semantics, vol. 7, no. 1, 2016. View at Publisher · View at Google Scholar
  • Saba Bashir, Usman Qamar, Farhan Hassan Khan, and Lubna Naseem, “HMV: A medical decision support framework using multi-layer classifiers for disease prediction,” Journal of Computational Science, vol. 13, pp. 10–25, 2016. View at Publisher · View at Google Scholar
  • Shweta Kulshreshtha, Vigi Chaudhary, Girish K. Goswami, and Nidhi Mathur, “Computational approaches for predicting mutant protein stability,” Journal of Computer-Aided Molecular Design, 2016. View at Publisher · View at Google Scholar
  • Muhammad Ansar Farooq, Amelie Detterbeck, Stephan Clemens, and Karl-Josef Dietz, “Silicon-induced reversibility of cadmium toxicity in rice,” Journal of Experimental Botany, pp. erw175, 2016. View at Publisher · View at Google Scholar
  • Henning Ruge, Sandra Flosdorff, Ingo Ebersberger, Fatima Chigri, and Ute C. Vothknecht, “The calmodulin-like proteins AtCML4 and AtCML5 are single-pass membrane proteins targeted to the endomembrane system by an N-terminal signal anchor sequence,” Journal of Experimental Botany, pp. erw101, 2016. View at Publisher · View at Google Scholar
  • Louise F. Thatcher, Volkan Cevik, Murray Grant, Bing Zhai, Jonathan D.G. Jones, John M. Manners, and Kemal Kazan, “ Characterization of a JAZ7 activation-tagged Arabidopsis mutant with increased susceptibility to the fungal pathogen Fusarium oxysporum ,” Journal of Experimental Botany, pp. erw040, 2016. View at Publisher · View at Google Scholar
  • Daniel Garzón, Ricardo Cabezas, Nelson Vega, Marcos Ávila-Rodriguez, Janneth Gonzalez, Rosa Margarita Gómez, Valentina Echeverria, Gjumrakch Aliev, and George E. Barreto, “Novel Approaches in Astrocyte Protection: from Experimental Methods to Computational Approaches,” Journal of Molecular Neuroscience, 2016. View at Publisher · View at Google Scholar
  • Arun Devabhaktuni, and Joshua E. Elias, “Application of de novo sequencing to large-scale complex proteomics datasets,” Journal of Proteome Research, 2016. View at Publisher · View at Google Scholar
  • Hao Li, Qian Shi, Zai-Bao Zhang, Li-Ping Zeng, Ji Qi, and Hong Ma, “ Evolution of the leucine-rich repeat receptor-like protein kinase gene family: Ancestral copy number and functional divergence of BAM1 and BAM2 in Brassicaceae ,” Journal of Systematics and Evolution, vol. 54, no. 3, pp. 204–218, 2016. View at Publisher · View at Google Scholar
  • Vladislav Victorovich Khrustalev, Eugene Victorovich Barkovsky, and Tatyana Aleksandrovna Khrustaleva, “Magnesium and manganese binding sites on proteins have the same predominant motif of secondary structure,” Journal of Theoretical Biology, 2016. View at Publisher · View at Google Scholar
  • Shu-Bo Zhang, and Qiang-Rong Tang, “Protein–protein interaction inference based on semantic similarity of Gene Ontology terms,” Journal of Theoretical Biology, vol. 401, pp. 30–37, 2016. View at Publisher · View at Google Scholar
  • Ahmad Chaddad, and Camel Tanougast, “Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients,” Medical & Biological Engineering & Computing, 2016. View at Publisher · View at Google Scholar
  • Yanqing Ji, Yun Tian, Fangyang Shen, and John Tran, “Leveraging MapReduce to Efficiently Extract Associations between Biomedical Concepts from Large Text Data,” Microprocessors and Microsystems, 2016. View at Publisher · View at Google Scholar
  • Junpeng Zhang, Thuc Duy Le, Lin Liu, Jianfeng He, and Jiuyong Li, “Identifying miRNA synergistic regulatory networks in heterogeneous human data via network motifs,” Molecular Biosystems, vol. 12, no. 2, pp. 454–463, 2016. View at Publisher · View at Google Scholar
  • Polina Mamoshina, Armando Vieira, Evgeny Putin, and Alex Zhavoronkov, “Applications of Deep Learning in Biomedicine,” Molecular Pharmaceutics, 2016. View at Publisher · View at Google Scholar
  • Ana Paula Körbes, Franceli Rodrigues Kulcheski, Rogério Margis, Márcia Margis-Pinheiro, and Andreia Carina Turchetto-Zolet, “Molecular evolution of the lysophosphatidic acid acyltransferase (LPAAT) gene family,” Molecular Phylogenetics and Evolution, vol. 96, pp. 55–69, 2016. View at Publisher · View at Google Scholar
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  • Michael Reiter, Paolo Rota, Florian Kleber, Markus Diem, Stefanie Groeneveld-Krentz, and Michael Dworzak, “Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures,” Pattern Recognition, 2016. View at Publisher · View at Google Scholar
  • Ruidong Xiang, Victor Hutton Oddy, Alan L. Archibald, Phillip E. Vercoe, and Brian P. Dalrymple, “Epithelial, metabolic and innate immunity transcriptomic signatures differentiating the rumen from other sheep and mammalian gastrointestinal tract tissues,” PeerJ, vol. 4, pp. e1762, 2016. View at Publisher · View at Google Scholar
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  • Amparo Rosero, Denisa Oulehlová, Lenka Stillerová, Petra Schiebertová, Michal Grunt, Viktor Žárský, and Fatima Cvrčková, “Arabidopsis FH1 Formin Affects Cotyledon Pavement Cell Shape by Modulating Cytoskeleton Dynamics,” Plant and Cell Physiology, pp. pcv209, 2016. View at Publisher · View at Google Scholar
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