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Citations to this Journal [698 citations: 1–100 of 677 articles]

Articles published in Advances in Bioinformatics have been cited 698 times. The following is a list of the 677 articles that have cited the articles published in Advances in Bioinformatics.

  • David J. Patterson, “Helping Protists to Find Their Place in a Big Data World,” Acta Protozoologica, vol. 53, no. 1, pp. 115–128, 2014. View at Publisher · View at Google Scholar
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  • Hui-Chuan Huan, Hsiu-Ju Chang, Kuan-Chia Lin, Hsiao-Yean Chiu, Jui-Hung Chung, and Hong-Chieh Tsai, “A Closer Examination of the Interaction Among Risk Factors for Low Back Pain,” American Journal of Health Promotion, vol. 28, no. 6, pp. 372–379, 2014. View at Publisher · View at Google Scholar
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  • Lauri Vaahtera, Mikael Brosché, Michael Wrzaczek, and Jaakko Kangasjärvi, “Specificity in ROS Signaling and Transcript Signatures,” Antioxidants & Redox Signaling, pp. 140206081908000, 2014. View at Publisher · View at Google Scholar
  • Francesca Turroni, Valentina Taverniti, Patricia Ruas-Madiedo, Sabrina Duranti, Simone Guglielmetti, Gabriele Andrea Lugli, Laura Gioiosa, Paola Palanza, Abelardo Margolles, and Douwe van Sinderen, “Bifidobacterium bifidum PRL2010 Modulates the Host Innate Immune Response,” Applied and Environmental Microbiology, vol. 80, no. 2, pp. 730–740, 2014. View at Publisher · View at Google Scholar
  • Fc García, Á López-Urrutia, and Xag Morán, “Automated clustering of heterotrophic bacterioplankton in flow cytometry data,” Aquatic Microbial Ecology, vol. 72, no. 2, pp. 175–185, 2014. View at Publisher · View at Google Scholar
  • Giada Marino, Putter F. Huesgen, Ulrich Eckhard, Christopher M. Overall, Wolfgang P. Schroeder, and Christiane Funk, “Family-wide characterization of matrix metalloproteinases from Arabidopsis thaliana reveals their distinct proteolytic activity and cleavage site specificity,” Biochemical Journal, vol. 457, pp. 335–346, 2014. View at Publisher · View at Google Scholar
  • Q. Fu, A. C. Fierro, P. Meysman, A. Sanchez-Rodriguez, K. Van depoele, K. Marchal, and K. Engelen, “MAGIC: access portal to a cross-platform gene expression compendium for Maize,” Bioinformatics, 2014. View at Publisher · View at Google Scholar
  • Marta Rosikiewicz, and Marc Robinson-Rechavi, “IQRray, a new method for Affymetrix microarray quality control, and the homologous organ conservation score, a new benchmark method for quality control metrics,” Bioinformatics, vol. 30, no. 10, pp. 1392–1399, 2014. View at Publisher · View at Google Scholar
  • Jiuwen Cao, and Lianglin Xiong, “Protein Sequence Classification with Improved Extreme Learning Machine Algorithms,” BioMed Research International, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
  • Chao Han, Zujiang Yu, Zhenfeng Duan, and Quancheng Kan, “Role of MicroRNA-1 in Human Cancer and Its Therapeutic Potentials,” BioMed Research International, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Salvador Eugenio C. Caoili, “Benchmarking B-Cell Epitope Prediction with Quantitative Dose-Response Data on Antipeptide Antibodies: Towards Novel Pharmaceutical Product Development,” BioMed Research International, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Brian Maher, Andreas Albrecht, Martin Loomes, Xin-She Yang, and Kathleen Steinhöfel, “A Firefly-Inspired Method for Protein Structure Prediction in Lattice Models,” Biomolecules, vol. 4, no. 1, pp. 56–75, 2014. View at Publisher · View at Google Scholar
  • Jean F. Challacombe, “Mining locus tags in PubMed Central to improve microbial gene annotation,” Bmc Bioinformatics, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Christopher Funk, William Baumgartner, Benjamin Garcia, Christophe Roeder, Michael Bada, K. Bretonnel Cohen, Lawrence E. Hunter, and Karin Verspoor, “Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters,” Bmc Bioinformatics, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Han-Qin Zheng, Yi-Fan Chiang-Hsieh, Chia-Hung Chien, Bo-Kai Justin Hsu, Tsung-Lin Liu, Ching-Nen Nathan Chen, and Wen-Chi Chang, “AlgaePath: comprehensive analysis of metabolic pathways using transcript abundance data from next-generation sequencing in green algae,” Bmc Genomics, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Anuradha Singh, Shrikant Mantri, Monica Sharma, Ashok Chaudhury, Rakesh Tuli, and Joy Roy, “Genome-wide transcriptome study in wheat identified candidate genes related to processing quality, majority of them showing interaction (quality x development) and having temporal and spatial distributions,” Bmc Genomics, vol. 15, 2014. View at Publisher · View at Google Scholar
  • Melanie Wiesner, Monika Schreiner, and Rita Zrenner, “Functional identification of genes responsible for the biosynthesis of 1-methoxy-indol-3-ylmethyl-glucosinolate in Brassica rapa ssp chinensis,” Bmc Plant Biology, vol. 14, 2014. View at Publisher · View at Google Scholar
  • Dale Zhang, Jinfeng Qi, Jipei Yue, Jinling Huang, Ting Sun, Suoping Li, Jian-Fan Wen, Christian Hettenhausen, Jinsong Wu, Lei Wang, Huifu Zhuang, Jianqiang Wu, and Guiling Sun, “Root parasitic plant Orobanche aegyptiaca and shoot parasitic plant Cuscuta australis obtained Brassicaceae-specific strictosidine synthase-like genes by horizontal gene transfer,” Bmc Plant Biology, vol. 14, 2014. View at Publisher · View at Google Scholar
  • Ricardo A. Chavez Montes, Gerardo Coello, Karla L. Gonzalez-Aguilera, Nayelli Marsch-Martinez, Stefan de Folter, and Elena R. Alvarez-Buylla, “ARACNe-based inference, using curated microarray data, of Arabidopsis thaliana root transcriptional regulatory networks,” Bmc Plant Biology, vol. 14, 2014. View at Publisher · View at Google Scholar
  • Oumarou Abdou-Arbi, Sophie Lemosquet, Jaap Van Milgen, Anne Siegel, and Jeremie Bourdon, “Exploring metabolism flexibility in complex organisms through quantitative study of precursor sets for system outputs,” Bmc Systems Biology, vol. 8, 2014. View at Publisher · View at Google Scholar
  • Chan Ju Lim, Hyun A. Jang, So Young Yi, Sang-Keun Oh, Ha Yeon Lee, Hyun A. Kim, Youn-Il Park, and Suk-Yoon Kwon, “SlPMEI, a pollen-specific gene in tomato,” Canadian Journal of Plant Science, vol. 94, no. 1, pp. 73–83, 2014. View at Publisher · View at Google Scholar
  • Lian En Chai, Swee Kuan Loh, Swee Thing Low, Mohd Saberi Mohamad, Safaai Denis, and Zalmiyah Zakaria, “A review on the computational approaches for gene regulatory network construction,” Computers in Biology and Medicine, vol. 48, pp. 55–65, 2014. View at Publisher · View at Google Scholar
  • Teresa Nunez Villavicencio-Diaz, Arielis Rodriguez-Ulloa, Osmany Guirola-Cruz, and Yasset Perez-Riverol, “Bioinformatics Tools for the Functional Interpretation of Quantitative Proteomics Results,” Current Topics in Medicinal Chemistry, vol. 14, no. 3, pp. 435–449, 2014. View at Publisher · View at Google Scholar
  • Wenxin Jiang, Kevin Krouse, Chungwen Wei, Ignacio Sanz, Deborah Phippard, Adam Asare, Stephen C. De Rosa, Steve Self, and Raphael Gottardo, “High-Throughput Flow Cytometry Data Normalization for Clinical Trials,” Cytometry Part A, vol. 85, no. 3, pp. 277–286, 2014. View at Publisher · View at Google Scholar
  • Tim R. Mosmann, Iftekhar Naim, Jonathan Rebhahn, Suprakash Datta, James S. Cavenaugh, Jason M. Weaver, and Gaurav Sharma, “SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 2: Biological evaluation,” Cytometry Part A, 2014. View at Publisher · View at Google Scholar
  • Gaurav Sharma, Iftekhar Naim, Suprakash Datta, Jonathan Rebhahn, James S. Cavenaugh, and Tim R. Mosmann, “SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, Part 1: Algorithm design,” Cytometry Part A, 2014. View at Publisher · View at Google Scholar
  • Bhargav Vyas, Rudra Prakash Maheshwari, and Biswarup Das, “Investigation for Improved Artificial Intelligence Techniques for Thyristor-controlled Series-compensated Transmission Line Fault Classification with Discrete Wavelet Packet Entropy Measures,” Electric Power Components and Systems, vol. 42, no. 6, pp. 554–566, 2014. View at Publisher · View at Google Scholar
  • Janda Martin, and Ruelland Eric, “Magical Mystery Tour: Salicylic acid signalling,” Environmental and Experimental Botany, 2014. View at Publisher · View at Google Scholar
  • Mattia Cremona, Virginia Espina, Dario Caccia, Silvia Veneroni, Maurizio Colecchia, Mariaelena Pierobon, Jianghong Deng, Claudius Mueller, Giuseppe Procopio, Cinzia Lanzi, Maria Grazia Daidone, William C. S. Cho, Emanuel F. Petricoin, Lance Liotta, and Italia Bongarzone, “Stratification of clear cell renal cell carcinoma by signaling pathway analysis,” Expert Review of Proteomics, vol. 11, no. 2, pp. 237–249, 2014. View at Publisher · View at Google Scholar
  • Shivnarayan Patidar, and Ram Bilas Pachori, “Classification of cardiac sound signals using constrained tunable-Q wavelet transform,” Expert Systems with Applications, 2014. View at Publisher · View at Google Scholar
  • Zofia Felicja Bielecka, Anna MaÅ‚gorzata Czarnecka, and Cezary Szczylik, “Genomic Analysis as the First Step toward Personalized Treatment in Renal Cell Carcinoma,” Frontiers in Oncology, vol. 4, 2014. View at Publisher · View at Google Scholar
  • Madlen Nietzsche, Ingrid Schiessl, and Frederik Boernke, “The complex becomes more complex: protein-protein interactions of SnRK1 with DUF581 family proteins provide a framework for cell- and stimulus type-specific SnRK1 signaling in plants ,” Frontiers in Plant Science, vol. 5, 2014. View at Publisher · View at Google Scholar
  • Stamatis Rigas, Gerasimos Daras, Dikran Tsitsekian, Anastasios Alatzas, and Polydefkis Hatzopoulos, “Evolution and significance of the Lon gene family in Arabidopsis organelle biogenesis and energy metabolism,” Frontiers in Plant Science, vol. 5, 2014. View at Publisher · View at Google Scholar
  • Thomas J. Sharpton, “An introduction to the analysis of shotgun metagenomic data,” Frontiers in Plant Science, vol. 5, 2014. View at Publisher · View at Google Scholar
  • Woong Bom Kim, So Young Yi, Sang-Keun Oh, Chan Ju Lim, Hyun A. Kim, Hyun A. Jang, Ha Yeon Lee, Youn-Il Park, and Suk-Yoon Kwon, “Identification of a pollen-specific gene, SlCRK1 (RFK2) in tomato,” Genes & Genomics, 2014. View at Publisher · View at Google Scholar
  • Mohammad Shahrokh Esfahani, and Edward R. Dougherty, “Incorporation of Biological Pathway Knowledge in the Construction of Priors for Optimal Bayesian Classification,” Ieee-Acm Transactions on Computational Biology and Bioinformatics, vol. 11, no. 1, pp. 202–218, 2014. View at Publisher · View at Google Scholar
  • Martyn Amos, “Population-based microbial computing: a third wave of synthetic biology?,” International Journal of General Systems, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Kristin Kassler, and Heinrich Sticht, “Molecular mechanism of HIV-1 gp120 mutations that reduce CD4 binding affinity,” Journal of Biomolecular Structure & Dynamics, vol. 32, no. 1, pp. 52–64, 2014. View at Publisher · View at Google Scholar
  • Loni Philip Tabb, Wei Zhao, Jingyu Huang, and Gail L. Rosen, “ Characterizing the Empirical Distribution of Prokaryotic Genome n -mers in the Presence of Nullomers ,” Journal of Computational Biology, pp. 140730134132000, 2014. View at Publisher · View at Google Scholar
  • Ellen H. Colebrook, Stephen G. Thomas, and Andrew L. Phillips, “The role of gibberellin signalling in plant responses to abiotic stress,” Journal of Experimental Biology, vol. 217, no. 1, pp. 67–75, 2014. View at Publisher · View at Google Scholar
  • Adam J. Richards, Janet Staats, Jennifer Enzor, Katherine McKinnon, Jacob Frelinger, Thomas N. Denny, Kent J. Weinhold, and Cliburn Chan, “Setting objective thresholds for rare event detection in flow cytometry,” Journal of Immunological Methods, 2014. View at Publisher · View at Google Scholar
  • Miguel Angel Rodrigo Merlos, Ondrej Zitka, Sona Krizkova, Amitava Moulick, Vojtech Adam, and Rene Kizek, “MALDI-TOF MS as evolving cancer diagnostic tool: A review,” Journal of Pharmaceutical and Biomedical Analysis, 2014. View at Publisher · View at Google Scholar
  • Qingsong Gao, Hui Zang, Yun Gao, Zefeng Yang, Yong Zhou, Yuming Luo, Yuan Yuan, Yifan Wang, Liming Yang, Xing Xu, Jun Wang, Chenwu Xu, and Guohua Liang, “Comprehensive molecular evolution and gene expression analyses of the ABC1 atypical kinase family in rice and Arabidopsis,” Journal of Plant Biochemistry and Biotechnology, 2014. View at Publisher · View at Google Scholar
  • B. T. Sy, H. M. Nguyen, N. L. Toan, L. H. Song, H. V. Tong, C. Wolboldt, V. Q. Binh, P. G. Kremsner, T. P. Velavan, and C.-T. Bock, “Identification of a natural intergenotypic recombinant hepatitis delta virus genotype 1 and 2 in Vietnamese HBsAg-positive patients,” Journal of Viral Hepatitis, 2014. View at Publisher · View at Google Scholar
  • Priya Raja, Jamie N. Jackel, Sizhun Li, Isaac M. Heard, and David M. Bisaro, “Arabidopsis Double-Stranded RNA Binding Protein DRB3 Participates in Methylation-Mediated Defense against Geminiviruses,” Journal of Virology, vol. 88, no. 5, pp. 2611–2622, 2014. View at Publisher · View at Google Scholar
  • Welkin H. Pope, Kirk R. Anders, Madison Baird, Charles A. Bowman, Michelle M. Boyle, Gregory W. Broussard, Tiffany Chow, Kari L. Clase, Shannon Cooper, Kathleen A. Cornely, Randall J. DeJong, Veronique A. Delesalle, Lisa Deng, David Dunbar, Nicholas P. Edgington, Christina M. Ferreira, Kathleen Weston Hafer, Grant A. Hartzog, J. Robert Hatherill, Lee E. Hughes, Khristina Ipapo, Greg P. Krukonis, Christopher G. Meier, Denise L. Monti, Matthew R. Olm, Shallee T. Page, Craig L. Peebles, Claire A. Rinehart, Michael R. Rubin, Daniel A. Russell, Erin R. Sanders, Morgan Schoer, Christopher D. Shaffer, James Wherley, Edwin Vazquez, Han Yuan, Daiyuan Zhang, Steven G. Cresawn, Deborah Jacobs-Sera, Roger W. Hendrix, and Graham F. Hatfull, “Cluster M Mycobacteriophages Bongo, PegLeg, and Rey with Unusually Large Repertoires of tRNA Isotypes,” Journal of Virology, vol. 88, no. 5, pp. 2461–2480, 2014. View at Publisher · View at Google Scholar
  • Joanna Przybyl, Katarzyna Kozak, Hanna Kosela, Slawomir Falkowski, Tomasz Switaj, Iwona Lugowska, Anna Szumera-Cieckiewicz, Konrad Ptaszynski, Beata Grygalewicz, Magdalena Chechlinska, Barbara Pienkowska-Grela, Maria Debiec-Rychter, Janusz A. Siedlecki, and Piotr Rutkowski, “Gene expression profiling of peripheral blood cells: new insights into Ewing sarcoma biology and clinical applications,” Medical Oncology, vol. 31, no. 8, 2014. View at Publisher · View at Google Scholar
  • Chien-Ming Chen, Yu-Lun Lu, Chi-Pong Sio, Guan-Chung Wu, Wen-Shyong Tzou, and Tun-Wen Pai, “Gene Ontology Based Housekeeping Gene Selection for RNA-seq Normalization,” Methods, 2014. View at Publisher · View at Google Scholar
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  • Nguyen Binh Anh Thu, Xuan Lan Thi Hoang, Hieu Doan, Thanh-Hao Nguyen, Dao Bui, Nguyen Phuong Thao, and Lam-Son Phan Tran, “Differential expression analysis of a subset of GmNAC genes in shoots of two contrasting drought-responsive soybean cultivars DT51 and MTD720 under normal and drought conditions,” Molecular Biology Reports, 2014. View at Publisher · View at Google Scholar
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  • Alessandra Lucioli, Alessandra Berardi, Francesca Gatti, Raffaela Tavazza, Daniele Pizzichini, and Mario Tavazza, “Tomato yellow leaf curl Sardinia virus-resistant tomato plants expressing the multifunctional N-terminal domain of the replication-associated protein show transcriptional changes resembling stress-related responses,” Molecular Plant Pathology, vol. 15, no. 1, pp. 31–43, 2014. View at Publisher · View at Google Scholar
  • Javier Cabrera, Regla Bustos, Bruno Favery, Carmen Fenoll, and Carolina Escobar, “ NEMATIC: a simple and versatile tool for the in silico analysis of plant-nematode interactions ,” Molecular Plant Pathology, 2014. View at Publisher · View at Google Scholar
  • Jonathan Rodriguez-Lopez, Cynthia Martinez-Centeno, Annamalai Padmanaban, Gabriel Guillen, Juan Elias Olivares, Giovanni Stefano, Fernando Lledias, Fernando Ramos, Said A. Ghabrial, Federica Brandizzi, Mario Rocha-Sosa, Claudia Diaz-Camino, and Federico Sanchez, “Nodulin 22, a Novel Small Heat-Shock Protein of the Endoplasmic Reticulum, Is Linked to the Unfolded Protein Response in Common Bean,” Molecular Plant-Microbe Interactions, vol. 27, no. 1, pp. 18–29, 2014. View at Publisher · View at Google Scholar
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