BiCOB 2019: Volume InformationProceedings of 11th International Conference on Bioinformatics and Computational Biology20 articles•199 pages•Published: March 18, 2019 PapersSession 1A: DNA SEQUENCE ASSEMBLY ALIGNMENT, AND ANALYSIS | Shane Sawyer, Mitchel Horton, Chad Burdyshaw, Glenn Brook and Bhanu Rekapalli 1-14 | Mohammad Alkhamis and Amirali Baniasadi 15-26 | Hassan Aldarwish, David Keller and Elena Harris 27-35 | Evaldo Costa, Gabriel Silva and Marcello Teixeira 36-47 | Session 1B: GENOME ANALYSIS AND NGS | Yuan Liu, Yongchao Ma, Evan Salsman, Frank Manthey, Elias Elias, Xuehui Li and Changhui Yan 48-54 | Zifeng Liang 55-64 | Shanshan Gao, Quang Tran and Vinhthuy Phan 65-73 | Masaki Fujimoto, Cole Lyman and Mark Clement 74-83 | Session 1C: MACHINE LEARNING IN BIOINFORMATICS | Allison Rossetto and Wenjin Zhou 84-93 | Isabella Eigner, Freimut Bodendorf and Nilmini Wickramasinghe 94-103 | Gabriel Wright, Anabel Rodriguez, Patricia Clark and Scott Emrich 104-112 | Fang Chun, Yoshitaka Moriwaki, Caihong Li and Kentaro Shimizu 113-119 | Session 2A: CANCER RESEARCH | Yan Yan, Tin Nguyen, Bobby Bryant and Frederick C. Harris 120-128 | Wageesha Rasanjana, Sandun Rajapaksa, Indika Perera and Dulani Meedeniya 129-138 | Xingzhi Yue, Neofytos Dimitriou, Peter Caie, David Harrison and Ognjen Arandjelovic 139-149 | Daria Kogut, Kaja Gutowska, Aleksandra Poterała-Hejmo, Jarosław Śmieja, Dorota Formanowicz and Piotr Formanowicz 150-160 | Session 2B: BIOINFORMATICS ALGORITHMS AND ANALYSIS | Ahmed Bin Zaman and Amarda Shehu 161-169 | Abia Khan, Kavery Nivana Theethira Poonacha, Adrian Britt, Benjamin McSweeney, Nicolette Santos, Grace Donovan, Valerie Yurk and Tara Scully 170-180 | Kazi Lutful Kabir, Nasrin Akhter and Amarda Shehu 181-189 | Tamer Aldwairi, Federico Hoffmann and Andy Perkins 190-199 |
Keyphrasesalignment, atrazine, Bioinformatics, biomedical imaging, Branch Divergence, Cancer Detection, Clinical Decision Support Systems, Cluster Ensemble, Clustering, CNN, coalesced memory access, codon usage bias, comparative genomics, Computational and artificial intelligence, convolution, Convolutional Neural Networks, copy number variation, cost-intensive, Crassostrea virginica, DALIGNER Aligner, Decoy generation, decoy quality, deep learning, differential equation, differential expression, disordered proteins, DNA, Downstream and Upstream Analysis, effective coverage, energy landscape, evolutionary algorithm, gene expression data analysis, genome alignment, genome complexity, genomic repeats, GLCM, glutathione, graph, Health, Healthcare, Healthcare Informatics, High Performance Computing, homology, Host/Device Concurrency, Intel Xeon Phi, log fold change, machine learning, Markov state models, Medical Tests, microarray data, Microstructural analysis, modeling, molecular structural dynamics, MoRFs, motif discovery, n-gram, neural network, NGS, oyster, parallel processing, Pathology, pattern search, performance evaluation, Petri net, PiRNA clusters, prediction, Predictive Analytics, prostate cancer, protein expression, public, reactive oxygen species, Respiratory Viral Infection, SEM, Sendai Virus, sequence alignment, sequence analysis, short read alignment, single model, SNP, structural variants, Support Vector Machines, synonymous codons, t-invariants, template-free protein structure prediction, transposable element, tumour, Type I Interferon, Y chromosome. |
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