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Citations to this Journal [1,478 citations: 1–100 of 1,430 articles]

Articles published in Advances in Bioinformatics have been cited 1,478 times. The following is a list of the 1,430 articles that have cited the articles published in Advances in Bioinformatics.

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Chris G. Parsons, and Gerhard Rammes, “ Preclinical to phase II amyloid beta (A β ) peptide modulators under investigation for Alzheimer’s disease ,” Expert Opinion on Investigational Drugs, vol. 26, no. 5, pp. 579–592, 2017. View at Publisher · View at Google Scholar
  • 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
  • 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
  • Xin Wang, Xuan Zhou, Gongying Li, Yun Zhang, Yili Wu, and Weihong Song, “Modifications and Trafficking of APP in the Pathogenesis of Alzheimer’s Disease,” Frontiers in Molecular Neuroscience, vol. 10, 2017. View at Publisher · View at Google Scholar
  • Liam Campbell, and Simon R. Turner, “A Comprehensive Analysis of RALF Proteins in Green Plants Suggests There Are Two Distinct Functional Groups,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Mirko Pavicic, Katriina Mouhu, Feng Wang, Marcelina Bilicka, Erik Chovanček, and Kristiina Himanen, “Genomic and Phenomic Screens for Flower Related RING Type Ubiquitin E3 Ligases in Arabidopsis,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Ahmad A. Malik, Michael Veltri, Kelly F. Boddington, Karamjeet K. Singh, and Steffen P. Graether, “Genome Analysis of Conserved Dehydrin Motifs in Vascular Plants,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Ajit Ghosh, “Genome-Wide Identification of Glyoxalase Genes in Medicago truncatula and Their Expression Profiling in Response to Various Developmental and Environmental Stimuli,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Hannah Kuhn, Justine Lorek, Mark Kwaaitaal, Chiara Consonni, Katia Becker, Cristina Micali, Emiel Ver Loren van Themaat, Pawe? Bednarek, Tom M. Raaymakers, Michela Appiano, Yuling Bai, Dorothea Meldau, Stephani Baum, Uwe Conrath, Ivo Feussner, and Ralph Panstruga, “Key Components of Different Plant Defense Pathways Are Dispensable for Powdery Mildew Resistance of the Arabidopsis mlo2 mlo6 mlo12 Triple Mutant,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Saurabh Gupta, Brijesh S. Yadav, Utkarsh Raj, Shiri Freilich, and Pritish K. Varadwaj, “Transcriptomic Analysis of Soil Grown T. aestivum cv. Root to Reveal the Changes in Expression of Genes in Response to Multiple Nutrients Deficiency,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Geng-Yin Lv, Xiao-Guang Guo, Li-Ping Xie, Chang-Gen Xie, Xiao-Hong Zhang, Yuan Yang, Lei Xiao, Yu-Ying Tang, Xing-Lai Pan, Ai-Guang Guo, and Hong Xu, “Molecular Characterization, Gene Evolution, and Expression Analysis of the Fructose-1, 6-bisphosphate Aldolase (FBA) Gene Family in Wheat (Triticum aestivum L.),” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Juan J. Pierella Karlusich, Matias D. Zurbriggen, Fahimeh Shahinnia, Sophia Sonnewald, Uwe Sonnewald, Seyed A. Hosseini, Mohammad-Reza Hajirezaei, and N?stor Carrillo, “Chloroplast Redox Status Modulates Genome-Wide Plant Responses during the Non-host Interaction of Tobacco with the Hemibiotrophic Bacterium Xanthomonas campestris pv. vesicatoria,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Duorong Xu, Dario Leister, and Tatjana Kleine, “Arabidopsis thaliana mTERF10 and mTERF11, but Not mTERF12, Are Involved in the Response to Salt Stress,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Tomáš Hluska, Marek Šebela, René Lenobel, Ivo Frébort, and Petr Galuszka, “Purification of Maize Nucleotide Pyrophosphatase/Phosphodiesterase Casts Doubt on the Existence of Zeatin Cis–Trans Isomerase in Plants,” Frontiers in Plant Science, vol. 8, 2017. View at Publisher · View at Google Scholar
  • Viet The Ho, Anh Nguyet Tran, Francesco Cardarelli, Pierdomenico Perata, and Chiara Pucciariello, “A calcineurin B-like protein participates in low oxygen signalling in rice,” Functional Plant Biology, vol. 44, no. 9, pp. 917, 2017. View at Publisher · View at Google Scholar
  • Hei-Yong G. Lo, Ramon U. Jin, Greg Sibbel, Dengqun Liu, Anju Karki, Matthew S. Joens, Blair B. Madison, Bo Zhang, Valerie Blanc, James A.J. Fitzpatrick, Nicholas O. Davidson, Stephen F. Konieczny, and Jason C. Mills, “A single transcription factor is sufficient to induce and maintain secretory cell architecture,” Genes & Development, vol. 31, no. 2, pp. 154–171, 2017. View at Publisher · View at Google Scholar
  • David Latrasse, Teddy Jégu, Huchen Li, Axel de Zelicourt, Cécile Raynaud, Stéphanie Legras, Andrea Gust, Olga Samajova, Alaguraj Veluchamy, Naganand Rayapuram, Juan Sebastian Ramirez-Prado, Olga Kulikova, Jean Colcombet, Jean Bigeard, Baptiste Genot, Ton Bisseling, Moussa Benhamed, and Heribert Hirt, “MAPK-triggered chromatin reprogramming by histone deacetylase in plant innate immunity,” Genome Biology, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Ruslan Kalendar, Bekbolat Khassenov, Yerlan Ramankulov, Olga Samuilova, and Konstantin I. Ivanov, “FastPCR: An in silico tool for fast primer and probe design and advanced sequence analysis,” Genomics, 2017. View at Publisher · View at Google Scholar
  • David K. Brown, and Özlem Tastan Bishop, “Role of Structural Bioinformatics in Drug Discovery by Computational SNP Analysis,” Global Heart, 2017. View at Publisher · View at Google Scholar
  • Laercio Pol-Fachin, “Insights into the effects of glycosylation and the monosaccharide-binding activity of the plant lectin CrataBL,” Glycoconjugate Journal, 2017. View at Publisher · View at Google Scholar
  • Saeid Shahrabi, Elahe Khodadi, Fakhredin Saba, Mohammad Shahjahani, and Najmaldin Saki, “Sex chromosome changes in leukemia: cytogenetics and molecular aspects,” Hematology, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Wen-Bin Zou, Hao Wu, Arnaud Boulling, David N. Cooper, Zhao-Shen Li, Zhuan Liao, Jian-Min Chen, and Claude Férec, “In silico prioritization and further functional characterization of SPINK1 intronic variants,” Human Genomics, vol. 11, no. 1, 2017. View at Publisher · View at Google Scholar
  • Airong Li, Rudolph E. Tanzi, Basavaraj Hooli, Kristina Mullin, Rebecca E. Tate, Adele Bubnys, Rory Kirchner, Brad Chapman, Oliver Hofmann, and Winston Hide, “Silencing of the Drosophila ortholog of SOX5 leads to abnormal neuronal development and behavioral impairment,” Human Molecular Genetics, vol. 26, no. 8, pp. 1472–1482, 2017. View at Publisher · View at Google Scholar
  • Stéphanie S. Cornelis, Nathalie M. Bax, Jana Zernant, Rando Allikmets, Lars G. Fritsche, Johan T. den Dunnen, Muhammad Ajmal, Carel B. Hoyng, and Frans P. M. Cremers, “ In Silico Functional Meta-Analysis of 5,962 ABCA4 Variants in 3,928 Retinal Dystrophy Cases ,” Human Mutation, 2017. View at Publisher · View at Google Scholar
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  • Md. Sarwar Kamal, Md. Golam Sarowar, Nilanjan Dey, Amira S. Ashour, Shamim H. Ripon, B. K. Panigrahi, and João Manuel R. S. Tavares, “Self-organizing mapping based swarm intelligence for secondary and tertiary proteins classification,” International Journal of Machine Learning and Cybernetics, 2017. View at Publisher · View at Google Scholar
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  • Sagadevan Kalaiselvan, Sathish Sankar, Mageshbabu Ramamurthy, Asit Ranjan Ghosh, Balaji Nandagopal, and Gopalan Sridharan, “Prediction of Pan-Specific B-Cell Epitopes From Nucleocapsid Protein of Hantaviruses Causing Hantavirus Cardiopulmonary Syndrome,” Journal of Cellular Biochemistry, 2017. View at Publisher · View at Google Scholar
  • Ricardo de Souza Jacomini, David Correa Martins-Jr., Felipe Leno da Silva, and Anna Helena Reali Costa, “GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis,” Journal of Computational Biology, 2017. View at Publisher · View at Google Scholar
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