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Citations to this Journal [1,184 citations: 1–100 of 1,142 articles]

Articles published in Advances in Bioinformatics have been cited 1,184 times. The following is a list of the 1,142 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
  • Salvador Eugenio C. Caoili, “Expressing Redundancy among Linear-Epitope Sequence Data Based on Residue-Level Physicochemical Similarity in the Context of Antigenic Cross-Reaction,” Advances in Bioinformatics, vol. 2016, pp. 1–13, 2016. View at Publisher · View at Google Scholar
  • 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
  • Qihui Wang, Gary Wong, Guangwen Lu, Jinghua Yan, and George F. Gao, “MERS-CoV spike protein: Targets for vaccines and therapeutics,” Antiviral Research, 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
  • Lanxiang Liu, Xinyu Zhou, Yuqing Zhang, Yiyun Liu, Lining Yang, Juncai Pu, Dan Zhu, Chanjuan Zhou, and Peng Xie, “The identification of metabolic disturbances in the prefrontal cortex of the chronic restraint stress rat model of depression,” Behavioural Brain Research, vol. 305, pp. 148–156, 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
  • Gianni Monaco, Hao Chen, Michael Poidinger, Jinmiao Chen, João Pedro de Magalhães, and Anis Larbi, “flowAI: automatic and interactive anomaly discerning tools for flow cytometry data,” Bioinformatics, pp. btw191, 2016. View at Publisher · View at Google Scholar
  • S. Cogill, and L. Wang, “Support vector machine model of developmental brain gene expression data for prioritization of Autism risk gene candidates,” Bioinformatics, pp. btw498, 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
  • Samiie Pouragahi, Mohammad Hossein Sanati, Mehdi Sadeghi, and Marjan Nassiri-Asl, “Bioinformatics Approach for Pattern of Myelin-Specific Proteins and Related Human Disorders,” Biotechnology and Health Sciences, vol. Inpress, no. Inpress, 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
  • 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
  • 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
  • Aaron Y. Lee, Cecilia S. Lee, and Russell N. Van Gelder, “Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations,” BMC Bioinformatics, vol. 17, no. 1, 2016. View at Publisher · View at Google Scholar
  • Nguyen-Quoc-Khanh Le, and Yu-Yen Ou, “Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs,” BMC Bioinformatics, vol. 17, no. 1, 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
  • Martin Svoboda, Anastasia Meshcheryakova, Georg Heinze, Markus Jaritz, Dietmar Pils, Dan Cacsire Castillo-Tong, Gudrun Hager, Theresia Thalhammer, Erika Jensen-Jarolim, Peter Birner, Ioana Braicu, Jalid Sehouli, Sandrina Lambrechts, Ignace Vergote, Sven Mahner, Philip Zimmermann, Robert Zeillinger, and Diana Mechtcheriakova, “AID/APOBEC-network reconstruction identifies pathways associated with survival in ovarian cancer,” 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
  • Haitao Yang, Shaoyu Li, Hongyan Cao, Chichen Zhang, and Yuehua Cui, “Predicting disease trait with genomic data: a composite kernel approach,” Briefings in Bioinformatics, pp. bbw043, 2016. View at Publisher · View at Google Scholar
  • Gaston K. Mazandu, Emile R. Chimusa, and Nicola J. Mulder, “Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery,” Briefings in Bioinformatics, pp. bbw067, 2016. View at Publisher · View at Google Scholar
  • Juan Xu, Tingting Shao, Na Ding, Yongsheng Li, and Xia Li, “miRNA–miRNA crosstalk: from genomics to phenomics,” Briefings in Bioinformatics, pp. bbw073, 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
  • Albin Jeanne, Camille Boulagnon-Rombi, Jérôme Devy, Louis Théret, Caroline Fichel, Nicole Bouland, Marie-Danièle Diebold, Laurent Martiny, Christophe Schneider, and Stéphane Dedieu, “Matricellular TSP-1 as a target of interest for impeding melanoma spreading: towards a therapeutic use for TAX2 peptide,” Clinical & Experimental Metastasis, 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
  • Weng Howe Chan, Mohd Saberi Mohamad, Safaai Deris, Nazar Zaki, Shahreen Kasim, Sigeru Omatu, Juan Manuel Corchado, and Hany Al Ashwal, “Identification of Informative Genes and Pathways using an Improved Penalized Support Vector Machine with a Weighting Scheme,” Computers in Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • Philipp H Fesel, and Alga Zuccaro, “Dissecting endophytic lifestyle along the parasitism/mutualism continuum in Arabidopsis,” Current Opinion in Microbiology, vol. 32, pp. 103–112, 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
  • Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, and Jasjit S. Suri, “Reliability analysis of psoriasis decision support system in principal component analysis framework,” Data & Knowledge Engineering, 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
  • Julien Le Roy, Brigitte Huss, Anne Creach, Simon Hawkins, and Godfrey Neutelings, “Glycosylation Is a Major Regulator of Phenylpropanoid Availability and Biological Activity in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Guido Durian, Moona Rahikainen, Sara Alegre, Mikael Brosché, and Saijaliisa Kangasjärvi, “Protein Phosphatase 2A in the Regulatory Network Underlying Biotic Stress Resistance in Plants,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Hemant R. Kushwaha, Rohit Joshi, Ashwani Pareek, and Sneh L. Singla-Pareek, “MATH-Domain Family Shows Response toward Abiotic Stress in Arabidopsis and Rice,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Senthilkumar K. Muthusamy, Monika Dalal, Viswanathan Chinnusamy, and Kailash C. Bansal, “Differential Regulation of Genes Coding for Organelle and Cytosolic ClpATPases under Biotic and Abiotic Stresses in Wheat,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Dallas C. Jones, Wenguang Zheng, Sheng Huang, Chuanlong Du, Xuefeng Zhao, Ragothaman M. Yennamalli, Taner Z. Sen, Dan Nettleton, Eve S. Wurtele, and Ling Li, “A Clade-Specific Arabidopsis Gene Connects Primary Metabolism and Senescence,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Roman Gangl, and Raimund Tenhaken, “Raffinose Family Oligosaccharides Act As Galactose Stores in Seeds and Are Required for Rapid Germination of Arabidopsis in the Dark,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Bing-Xian Chen, Wen-Yan Li, Yin-Tao Gao, Zhong-Jian Chen, Wei-Na Zhang, Qin-Jian Liu, Zhuang Chen, and Jun Liu, “Involvement of Polyamine Oxidase-Produced Hydrogen Peroxide during Coleorhiza-Limited Germination of Rice Seeds,” Frontiers in Plant Science, vol. 07, 2016. View at Publisher · View at Google Scholar
  • Suneha Goswami, Ranjeet R. Kumar, Kavita Dubey, Jyoti P. Singh, Sachidanand Tiwari, Ashok Kumar, Shuchi Smita, Dwijesh C. Mishra, Sanjeev Kumar, Monendra Grover, Jasdeep C. Padaria, Yugal K. Kala, Gyanendra P. Singh, Himanshu Pathak, Viswanathan Chinnusamy, Anil Rai, Shelly Praveen, and Raj D. Rai, “SSH Analysis of Endosperm Transcripts and Characterization of Heat Stress Regulated Expressed Sequence Tags in Bread Wheat,” 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
  • Salwa Mohd Mostafa, and Abul BMMK Islam, “ An in silico approach predicted potential therapeutics that can confer protection from maximum pathogenic Hantaviruses ,” Future Virology, 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
  • María Victoria Quiroga, Gabriela Mataloni, Bruno M. S. Wanderley, André M. Amado, and Fernando Unrein, “Bacterioplankton morphotypes structure and cytometric fingerprint rely on environmental conditions in a sub-Antarctic peatland,” Hydrobiologia, 2016. View at Publisher · View at Google Scholar
  • Tahirah Yasmin, Salma Akter, Mouly Debnath, Akio Ebihara, Tsutomu Nakagawa, and A. H. M. Nurun Nabi, “In silico proposition to predict cluster of B- and T-cell epitopes for the usefulness of vaccine design from invasive, virulent and membrane associated proteins of C. jejuni,” In Silico Pharmacology, vol. 4, 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
  • Divya Anand, Babita Pandey, and Devendra K. Pandey, “A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine,” Interdisciplinary Sciences: Computational Life Sciences, 2016. View at Publisher · View at Google Scholar
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  • Evan Murphy, Lam Dai Vu, Lisa Van den Broeck, Zhefeng Lin, Priya Ramakrishna, Brigitte van de Cotte, Allison Gaudinier, Tatsuaki Goh, Daniel Slane, Tom Beeckman, Dirk Inzé, Siobhan M. Brady, Hidehiro Fukaki, and Ive De Smet, “RALFL34 regulates formative cell divisions in Arabidopsis pericycle during lateral root initiation,” Journal of Experimental Botany, pp. erw281, 2016. View at Publisher · View at Google Scholar
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