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Citations to this Journal [1,271 citations: 101–200 of 1,227 articles]

Articles published in Advances in Bioinformatics have been cited 1,271 times. The following is a list of the 1,227 articles that have cited the articles published in Advances in Bioinformatics.

  • 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
  • Tzvetina Brumbarova, and Rumen Ivanov, “Differential Gene Expression and Protein Phosphorylation as Factors Regulating the State of the Arabidopsis SNX1 Protein Complexes in Response to Environmental Stimuli,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Thomas Dobrenel, Eder Mancera-Martínez, Céline Forzani, Marianne Azzopardi, Marlène Davanture, Manon Moreau, Mikhail Schepetilnikov, Johana Chicher, Olivier Langella, Michel Zivy, Christophe Robaglia, Lyubov A. Ryabova, Johannes Hanson, and Christian Meyer, “The Arabidopsis TOR Kinase Specifically Regulates the Expression of Nuclear Genes Coding for Plastidic Ribosomal Proteins and the Phosphorylation of the Cytosolic Ribosomal Protein S6,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Yanchun Cui, Manling Wang, Huina Zhou, Mingjuan Li, Lifang Huang, Xuming Yin, Guoqiang Zhao, Fucheng Lin, Xinjie Xia, and Guoyun Xu, “OsSGL, a Novel DUF1645 Domain-Containing Protein, Confers Enhanced Drought Tolerance in Transgenic Rice and Arabidopsis,” 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
  • Elham Pashaei, Mustafa Ozen, and Nizamettin Aydin, “Splice site identification in human genome using random forest,” Health and Technology, 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
  • Maziyar Baran Pouyan, Vasu Jindal, and Mehrdad Nourani, “Clinical Outcome Prediction Using Single-Cell Data,” IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 5, pp. 1012–1022, 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
  • 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
  • Xingmin Zhao, Weipeng Cao, Hongyu Zhu, Zhong Ming, and Rana Aamir Raza Ashfaq, “An initial study on the rank of input matrix for extreme learning machine,” International Journal of Machine Learning and Cybernetics, 2016. View at Publisher · View at Google Scholar
  • Wen-Xing Li, Shao-Xing Dai, Jia-Qian Liu, Qian Wang, Gong-Hua Li, and Jing-Fei Huang, “Integrated Analysis of Alzheimer’s Disease and Schizophrenia Dataset Revealed Different Expression Pattern in Learning and Memory,” Journal of Alzheimer's Disease, vol. 51, no. 2, pp. 417–425, 2016. View at Publisher · View at Google Scholar
  • R. Santhosh, S. N. Satheesh, M. Gurusaran, Daliah Michael, K. Sekar, and J. Jeyakanthan, “NIMS: a database on nucleobase compounds and their interactions in macromolecular structures,” Journal of Applied Crystallography, vol. 49, no. 3, pp. 1093–1098, 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
  • Martiniano Bello, Mixtli J. Torres, Alfonso Méndez-Tenorio, and José Correa-Basurto, “Conformational changes associated with L16P and T118M mutations in the membrane-embedded PMP22 protein, consequential in CMT-1A,” Journal of Biomolecular Structure and Dynamics, pp. 1–15, 2016. View at Publisher · View at Google Scholar
  • Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew, and Yuedong Yang, “Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines,” Journal of Chemical Information and Modeling, 2016. View at Publisher · View at Google Scholar
  • Grigoriy Gogoshin, Eric Boerwinkle, and Andrei S. Rodin, “New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data,” Journal of Computational Biology, 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
  • 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
  • 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
  • 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
  • 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
  • Deyang Xu, Franziska S. Hanschen, Katja Witzel, Sebastian J. Nintemann, Hussam Hassan Nour-Eldin, Monika Schreiner, and Barbara Ann Halkier, “Rhizosecretion of stele-synthesized glucosinolates and their catabolites requires GTR-mediated import in Arabidopsis,” Journal of Experimental Botany, pp. erw355, 2016. View at Publisher · View at Google Scholar
  • Lu Li, Szymon Kubiszewski-Jakubiak, Jordan Radomiljac, Yan Wang, Simon R. Law, Olivier Keech, Reena Narsai, Oliver Berkowitz, Owen Duncan, Monika W. Murcha, and James Whelan, “ Characterization of a novel β-barrel protein (AtOM47) from the mitochondrial outer membrane of Arabidopsis thaliana ,” Journal of Experimental Botany, pp. erw366, 2016. View at Publisher · View at Google Scholar
  • Qinggang Yin, Guoan Shen, Zhenzhan Chang, Yuhong Tang, Hongwen Gao, and Yongzhen Pang, “ Involvement of three putative glucosyltransferases from the UGT72 family in flavonol glucoside/rhamnoside biosynthesis in Lotus japonicus seeds ,” Journal of Experimental Botany, pp. erw420, 2016. View at Publisher · View at Google Scholar
  • Umar Manzoor, Samia Nefti, and Milella Ferdinando, “Investigating the Effectiveness of Wavelet Approximations in Resizing Images for Ultrasound Image Classification,” Journal of Medical Systems, vol. 40, no. 10, 2016. View at Publisher · View at Google Scholar
  • E.V. Katkova, A.V. Onufriev, B. Aguilar, and V.B. Sulimov, “Accuracy comparison of several common implicit solvent models and their implementations in the context of protein-ligand binding,” Journal of Molecular Graphics and Modelling, 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
  • Suman Lata, Aashish Ranjan, Neetu Singh Kushwah, Pankaj Kumar, Seema Dargan, Ramamurthy Srinivasan, and Shripad Ramachandra Bhat, “Regulatory sequences of the Arabidopsis thaliana Rps19, a nuclear gene encoding mitochondrial ribosomal protein subunit, extend into the upstream gene,” Journal of Plant Biochemistry and Biotechnology, 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
  • S. Muthu Krishnan, “Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach,” Journal of Theoretical Biology, 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
  • Ashish Verma, Akhil Kumar, and Mira Debnath, “Molecular docking and simulation studies to give insight of surfactin amyloid interaction for destabilizing Alzheimer’s Aβ42 protofibrils,” Medicinal Chemistry Research, vol. 25, no. 8, pp. 1616–1622, 2016. View at Publisher · View at Google Scholar
  • Hidam Bishworjit Singh, Dristi Deka, Dhiramani Das, and Debasish Borbora, “Computational prediction of the effects of non-synonymous single nucleotide polymorphisms in the human Quinone Oxidoreductase 1 (NQO1),” Meta Gene, 2016. View at Publisher · View at Google Scholar
  • Kim Olsson, Simon Carlsen, Angelika Semmler, Ernesto Simón, Michael Dalgaard Mikkelsen, and Birger Lindberg Møller, “Microbial production of next-generation stevia sweeteners,” Microbial Cell Factories, vol. 15, no. 1, 2016. View at Publisher · View at Google Scholar
  • Issaree Ong-on, Ben Embley, Yusuf Chisti, and Nanthiya Hansupalak, “Prediction of pore properties of hierarchical porous silica templated on natural rubber,” Microporous and Mesoporous Materials, 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
  • Mahdi Mahmoudi, Saeed Aslani, Mohammad Hossein Nicknam, Jafar Karami, and Ahmad Reza Jamshidi, “New insights toward the pathogenesis of ankylosing spondylitis; genetic variations and epigenetic modifications,” Modern Rheumatology, pp. 1–12, 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
  • Harish Chandra, and Jagjit S. Yadav, “T-cell antigens of Mycobacterium immunogenum, an etiological agent of occupational hypersensitivity pneumonitis,” Molecular Immunology, vol. 75, pp. 168–177, 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
  • Alexander Aliper, Sergey Plis, Artem Artemov, Alvaro Ulloa, Polina Mamoshina, and Alex Zhavoronkov, “Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data,” 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
  • Marco Zarattini, Alban Launay, Mahsa Farjad, Estelle Wénès, Ludivine Taconnat, Stéphanie Boutet, Giovanni Bernacchia, and Mathilde Fagard, “The bile acid deoxycholate elicits defences in Arabidopsis and reduces bacterial infection,” Molecular Plant Pathology, 2016. View at Publisher · View at Google Scholar
  • S. Palchetti, L. Digiacomo, D. Pozzi, G. Peruzzi, E. Micarelli, M. Mahmoudi, and G. Caracciolo, “Nanoparticles-cell association predicted by protein corona fingerprints,” Nanoscale, 2016. View at Publisher · View at Google Scholar
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  • Elisabetta Di Giacomo, Carole Laffont, Francesca Sciarra, Maria Adelaide Iannelli, Florian Frugier, and Giovanna Frugis, “ KNAT3/4/5-like class 2 KNOX transcription factors are involved in Medicago truncatula symbiotic nodule organ development ,” New Phytologist, 2016. View at Publisher · View at Google Scholar
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  • Salvatore Giovanni Vitale, Antonio Simone Laganà, Maria Rosaria Anna Muscatello, Valentina Lucia La Rosa, Veronica Currò, Gianluca Pandolfo, Rocco Antonio Zoccali, and Antonio Bruno, “Psychopharmacotherapy in Pregnancy and Breastfeeding,” Obstetrical & Gynecological Survey, vol. 71, no. 12, pp. 721–733, 2016. View at Publisher · View at Google Scholar
  • Sinem Nalbantoglu, Mones Abu-Asab, Ming Tan, Xuemin Zhang, Ling Cai, and Hakima Amri, “Study of Clinical Survival and Gene Expression in a Sample of Pancreatic Ductal Adenocarcinoma by Parsimony Phylogenetic Analysis,” OMICS: A Journal of Integrative Biology, vol. 20, no. 7, pp. 442–447, 2016. View at Publisher · View at Google Scholar
  • 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
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  • Shun Ying Quah, Michelle Siying Tan, Yuan Han Teh, and Johnson Stanslas, “Pharmacological modulation of oncogenic Ras by natural products and their derivatives: Renewed hope in the discovery of novel anti-Ras drugs,” Pharmacology & Therapeutics, 2016. View at Publisher · View at Google Scholar
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