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In bioinformatics and computational biology, we have been witnessing great advances and breakthroughs in the past two decades. BICOB-2019 is continuing effort of gathering the researchers and scholars in bioinformatics and computational biology and supporting these fields. The 11th International Conference on Bioinformatics and Computational Biology (BICOB-2019) will be held March 18 - 20, 2019 in Honolulu, HI, USA. The new and emerging computational fields (e.g., data science, big data, deep learning, multicore computing) have motivated more progress in bioinformatics and enabled most areas in bioinformatics to continue to be vibrant research area with broadening applications and new emerging challenges. BICOB-2019 will provide an utmost venue for researchers and practitioners in bioinformatics to present and publish their research results and techniques. We seek original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related areas. The conference includes a Best Paper Award to be given during the conference banquet. BICOB-2019 also encourages work-in-progress and research results in the emerging and evolutionary computational areas. Computational methods related to, or with application in, bioinformatics is also encouraged including: computational intelligence and its application in bioinformatics, bio-data mining and text mining, evolutionary algorithms, nature-inspired computation, machine learning and bio-NLP, biomedical ontology, biomathematics, modeling and simulation, pattern recognition, data visualization, biostatistics. The topics of interest include (and are not limited to): Genome analysis: Genome assembly, Next-Gen genomics and metagenomics, genome and chromosome annotation, gene finding, alternative splicing, EST analysis and comparative genomics. Sequence analysis: Multiple sequence alignment, sequence search and clustering, next generation sequencing NGS, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences. Phylogenetics: Phylogeny estimation, models of evolution, comparative biological methods, population genetics. Structural Bioinformatics: Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design. Analysis of high-throughput biological data: Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry. Also, query languages, interoperability, bio-ontology and bio-data mining. Genetics and population analysis: Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling. Systems biology: Systems approaches to molecular biology, multiscale modeling, pathways, gene networks, transcriptomics - microarray data analysis, proteomics, epigenomics. Healthcare Informatics: Healthcare data acquisition, analysis and mining. Clinical decision support systems, and healthcare information systems. Computational Proteomics: Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data, ...etc.