3rd World Congress on Bioinformatics & System Biology (PGR), Suminoe Ward, 月曜日, 26. 8月 2019

3rd World Congress on Bioinformatics & System Biology
About ConferenceBioinformatics 2019 welcomes attendees, presenters, and exhibitors from all over the world to Osaka, Japan. We are delighted to invite you all to attend and register for the “3rd World Congress on Bioinformatics & System Biology” which is going to be held during August 26-27, 2019, Osaka, 2019 has been designed in an interdisciplinary manner with a multitude of tracks to choose from every segment and provides you with a unique opportunity to meet up with peers from both industry and academia and establish a scientific network between them. We cordially invite all concerned people to come join us at our event and make it successful by your participation.At  PULSUS Group, It is our ideology to bring maximum exposure to our attendees, so we make sure the event is a blend which covers professionals such as bioinformatician, young Scientist, pharmaceutical leaders, researchers from academia and industry making the Bioinformatics 2019 conference a perfect platform.The conference will be organized around the Theme ‘Integrating the knowledge on Bioinformatics and System Biology’. Our goal is to deliver an outstanding program which covers the entire spectrum of research & innovations in bioinformatics and share the cross-cultural experiences of various research 2019 is an annual meeting of Research organizations as well as committees to discuss the future of the new research in terms of collaboration, structures and organizational development.2018 Highlights: · 200+ Participation (70% Industry: 30% Academia)· 9+ Keynote Speakers· 30+ Plenary Speakers· 3+ Exhibitor· 14 Innovative Educational Sessions· B2B MeetingsWhy to attend???With members from around the world focused on learning about research and its advances: this is your best opportunity to reach the largest assemblage of participants from the world's research community. Conduct presentations, distribute information, meet with current and potential scientists, make a splash with new discoveries in the research, and receive name recognition at this 2-day event. World-renowned speakers, the most recent techniques, developments, and the newest updates in bioinformatics , research and pharmaceutical developments are hallmarks of this Audience:· Business Entrepreneurs· Bioinformatician· Researchers· Professors· Directors· Young Scientist· Assistant Professors· Pharmaceutical leaders· Business Delegates· Industries· Universities Who to attend:. Students. Research Faculty. Biologist . Researchers. Bioinformatics Societies and Associations. Business Delegates. Head of Laboratories. Post-Doctoral Fellows Conference Opportunities:For Researchers and Faculty Members:· Speaker Presentations · Poster Display · Symposium hosting (4-5 member team)         · Workshop organizing  For Universities, Associations & Societies:· Association Partnering· Collaboration proposals          · Academic Partnering   · Group ParticipationFor Students and Research Scholars:· Poster Competition (Winner will get Best Poster Award)        · Young Researcher Forum (YRF Award to the best presenter) · Student Attendee        · Group registrations     For Business Delegates:· Speaker Presentations · Symposium hosting    · Book Launch event    · Networking opportunities       · Audience participationFor Product Manufacturers:· Exhibitor and Vendor booths· Sponsorships opportunities· Product launch· Workshop organizing· Scientific Partnering· Marketing and Networking with clients
Scientific SessionsSession 01: BioinformaticsBioinformatics is the use of computers for the acquisition , management and analysis of biological information. It incorporates elements of molecular biology, database computing and internet. Bioinformatics is clearly a multi-disciplinary field including computer system management networking, database design, computer programming, computational biology, statistics, mathematics, genetics and molecular biology. The analysis of DNA sequence data has come to dominate the field of bioinformatics , but the term has been applied to any type of biological data that can be recorded as number or images and handled by computers. Bioinformatics enhance protein structure analysis, gene and protein functional information, data from patents, pre-clinical and clinical trials and the metabolic pathways of numerous 02: System BiologySystem Biology mainly focused on the systematic study of complex interaction in the biological system by using new emergent properties. System Biology aims to analyse the quantitative understanding of biological system and also able to predict the systemic features. Two main roots of system biology are molecular biology which emphasis macromolecules and formal analysis to interact multiple molecules. System biology shows commonly in the multi-disciplinary fields like non-linear systems analysis, network theory, non-linear thermodynamics.    Session 03: Human Genome ProjectThe human genome project was an international research effort to determine the sequence of the human genome and identify the genes. The goal of human genome project determines the sequence of the 3 billion chemical base pairs that make up human DNA. Human genome project develop a genetics linkage map and management technology for human genome information. The medical application for human genome project is to Improve diagnosis of disease ,earlier detection of predisposition to disease, rational drug design, gene therapy and control systems for drugs and organ replacement. Sequencing techniques used in human genome project is shotgun sequencing method & sanger sequencing 04: BiotechnologyBiotechnology is the application of scientific technique to modify and improve plants, animals and microorganisms to enhance their value. Biotechnology allows for the manipulation, synthesis and eventual creation of genes. Depending on the tools and application on the biotechnology field often overlaps with the molecular biology, bioengineering, biomedical engineering, bioinformatics , biomanufacturing and molecular engineering. Two important techniques developed in modern technology is genetic engineering and chemical engineering. Genetic engineering is the technique of removing, modifying and adding of genes to a DNA molecule in order to change in the information. By changing the information, genetic engineering changes the amount of proteins an organism is capable of producing. Chemical engineering science utilizes mass momentum and energy transfer along with thermodynamics and chemical kinetics to analyse and improve these unit 05: Genomic MappingMapping is the process of visualizing relationship between the different concepts. In bioinformatics mapping involved in different ways like gene mapping, physical mapping, genome Sequencing. Genome mapping based studies used to construct the maps that showing the position of the genes. Physical mapping mainly used in molecular biology used to examine the DNA molecules and construct the map showing the position of genes and sequencing features. Genome sequencing shows in the process of shot gun sequencing technique used to characterize each fragment and put each fragment into together. Top Down approach is the type of physical mapping was conducted exclusively by using the fingerprinting approach. Physical mapping consists of overlapping large insert clones was first constructed and carefully checked. After constructed the large insert clones the set of mapped clones was chosen that covers the genome with minimum overlap. Then chosen genome was sequenced segment by segment in orderly manner. Bottom up approach exclusively start with whole genome shot gun sequencing and assembling data from sequencing contigs. Mapping strategies used to find the arrangements of contigs in genome.  Session 06: Sequence AssemblySequence assembly refers to aligning and merging fragments from longer DNA sequence in order to reconstruct the original sequence. The longer sequence resulted from sequence assembly is called as a contig sequence. During sequence assembly the short DNA fragments may also be aligned to a reference sequence in order to see the difference between the contig sequence obtained from the reference sequence. Sequence assembly identifies the intrinsic features of the sequence such as active sites, post translational modification sites, gene-structure, distributors of introns and exons. Identification of sequence difference and variations such as point mutation and single nucleotide polymorphism in order to get the genetic 07: Phylogenetic AnalysisPhylogenetic analysis shows the evolutionary relationship among various biological species based upon similarities and differences in their physical and genetics characteristics. Phylogenetics analysis mainly used in the field of Bioinformatics and systematics. Phylogenetic analysis undergo into two major components like phylogeny inference and character & rate analysis. Phylogeny inference is undergoes branching orders and ultimately the evolutionary relationship between genes, population and species. Character and rate analysis using phylogenies as analytical framework for rigorous understanding of evolution of various traits and condition of interest . Phylogenetics analysis uses computational methods like clustering algorithms and optimality approaches. Clustering algorithms uses pair wise distance and which the algorithm itself defines the tree selection criterion. Optimality approaches uses distance data , first it defines an optimality criterion and then use a specific algorithm for finding trees with the best value for the objective 08: Comparative Genome AnalysisComparative genomics involves the examination and comparison of sequence, genes and regulatory regions between different organisms. Next generation sequencing of different organisms allows for a better understanding of the structure and function of genes and helps to identify those that are unique and those that are conserved among species. Comparisons of discrete segments of the genome is possible by alignment of homologous DNA between species. Comparisons between the human genome and the fruit fly have shown that up to 60% of genes are conserved. These alignments also help researchers identify signals that represent the location of genes and the sequences that regulate gene 09: Gene OntologyGene Ontology is the major bioinformatics implementation aims to standardize and represents the gene and gene products and their attributes in the species and database. Gene Ontology provide tools to implement all the aspects of gene and gene products in species. Domains of gene ontology includes molecular function, Biological process, Cellular Component. Usually, gene ontology takes a protein and gives output as cellular context. Gene ontology consortium itself has created a tool that helps to create, analyse and search in specific data in a website. Some of examples for tools is AMIGO, OBO-EDIT etc. Session 10: Structural BioinformaticsStructural Bioinformatics is the process of analysing and predicting the structure of biological macromolecules like RNA, DNA and protein etc. Structural bioinformatics deals with analysis of motifs, folds, interactions, functions from computational models. Structural classification of protein database used to classify the protein domains based on similarities of structure and amino acid sequence. Structural classification of Protein Database used to analyse the evolutionary relationship between the proteins. Protein structure prediction which is used to predict the structure of the protein like primary structure, secondary structure and tertiary structure of a protein. Homology modelling is the process creating model for the given structure and behaviour of the molecule. This method used in the fields of chemistry, drug design and computational 11: Next Generation SequencingNext Generation Sequencing shows high sequencing capacity processing become high speed in genome research. Constructing a sequencing library and amplification to generate sequencing features. NGS includes methodology of single stranded template DNA library, Amplification, Data generation through sequencing and data analysis using different bioinformatics tools. Some of the methods include in the NGS is whole-Genome sequencing, Exome sequencing, De novo sequencing and Targeted sequencing. Targeted sequencing allows main research in focus on time, data analysis at high coverage levels.   Session 12: Cancer and clinical proteomicsProteomics has emerged as a promising field in the post-genomic era. Notwithstanding the great advances provided by gene expression analysis in cancer, the lack of a correlation between gene expression and protein levels has highlighted the need for a proteomic focus on cancer. Although the increasing knowledge regarding cancer biology, a reliable marker to improve diagnosis, prognosis and treatment for cancer patients is not a reality at present. In this review, we address the main considerations regarding proteomics-based studies and their clinical applications on cancer research, highlighting some considerations related to strengths and limitations of proteomics-based studies and its application to clinical 13: Microarray AnalysisMicroarray is a high throughput technique used for analysing gene expression for thousands of known and unknown gene function. Microarray is also used to detect the polymorphism and mutations in genomic DNA. In microarray four steps of procedure is followed like sample preparation, hybridisation, washing and data analysis. Microarray was divided into two major types like glass CDNA microarray and high-density oligonucleotide microarray. CDNA microarray is the first type of microarray developed by using process like selection of material, purification of DNA sequence and spotting DNA solution through printing 14: Biomedical Engineering and imagingBiomedical imaging concentrates on the capture of images for both diagnostic and therapeutic purposes. Snapshots of in vivo physiology and physiological processes can be garnered through advanced sensors and computer technology. Biomedical imaging technologies utilize either x-rays, sound, magnetism, radioactive pharmaceuticals or light to assess the current condition of an organ or tissue and can monitor a patient over time over time for diagnostic and treatment evaluation. The science and engineering behind the sensors, instrumentation and software used to obtain biomedical imaging has been evolving continuously. Modern x-rays using solid-state electronics require just milliseconds of exposure time, drastically reducing the x-ray dose originally needed for recording to film cassettes. The image quality has also improved, with enhanced resolution and contrast detail providing more reliable and accurate 15: Proteomics & GenomicsIn genomics a cell contains complete set of DNA. In functional genomics role of genes has been identified by gene which are under expression and overexpression. Proteomics is the complete set of proteins found in a cell. Proteomics and Genomics can analyse the identification and characterization of risk factors and therapeutic targets at molecular level. In proteomics key technologies used is 2-S electrophoresis, mass spectrometry, chromatography and protein expression system. In genomics contain complete set of instructions for the construction, initiation, maintenance, operation and repair of all living cells. Genomics studies shows the structure, function and interaction of all genes that analyses to improve the diagnosis and prevention of disease. Functional genomics in the field of molecular biology that used to describe the Genome sequencing projects and RNA sequencing to describe the gene functions and their interactions. Structural genomics mainly analysed on the aspects of gene transcription, translation, regulation of gene expression, and protein-protein interaction in the genome such as DNA sequence and DNA 16: Gene ExpressionGene Expression is the process of converting structure and function of the cells by producing biological molecule like protein. In gene expression steps include like transcription, translation, post translational modification. In gene regulation structure and function of cell can be analysed based on cellular differentiation and adaptability of the organism. Mapping Expression patterns which may include translation, transcription which involved in the process of gene expression. translation and transcription which is used to synthesis of the RNA and read the messenger RNA along with specific protein and according to their instructions.  Session 17: Metabolic PathwaysMetabolic pathways are the series of chemical reaction that occurs in the cell. In pathways the reactants of product show enzymatic reaction known as metabolites. Two different types of metabolic pathways are characterized like anabolic pathway and catabolic pathway. These two pathways released energy used by one another. Metabolic pathways that are often regulated by feedback inhibition.  Session 18: Drug Discovery and DevelopmentDrugs have been discovered by identifying the active ingredients from traditional remedies. Drug discovery process contain different methods like random screening, molecular manipulation, molecular designing and drug metabolites. Target selection in drug discovery is used to define the decision to focus on finding the agents with biological action that is anticipated to have a therapeutic utility. Target identification to identify the target molecules that involved in the disease progression. Target Validation is the process of manipulation the molecular targets that can provide benefits for patients. Assay development in the drug is used to measure the activity of the drug and evaluate the expression of protein targets and enzyme interactions. Pharmacogenomics studies has been done in the drug discovery process used to identify the phenotype affect to drug response.  Session 19: Health InformaticsHealth Informatics shows information on science, computer science and health care. Health Informatics shows innovative studies on Design, Development, Adoption and application of IT-based Innovations in health care services management and services. Health Informatics mainly include in various fields in Bioinformatics like translational bioinformatics, research informatics, clinical informatics, consumer health informatics and public health informatics. Consumer health informatics mainly focussed on the health literacy and consumer education. Consumer health informatics mainly shows interest in the areas of nursing informatics, public health promotion, health education, library science and communication science. Public health informatics mainly contain information in the areas of public health that including in reporting and health promotion. Public health informatics mainly concerned with the groups rather than individual.    Session 20: TranscriptomicsTranscriptomics is the study of complete set of RNAs which genome encoded in a specific organism under specific set of conditions. Transcriptomics studies shows expression profiling which examines the expression level of MRNAs in each cell by using microarray technology. In transcriptomics the expression level of each transcript changed during drug development process. Technologies used in transcriptomics is hybridization-based approach and sequence-based approaches. Hybridization-based approaches used in two microarray techniques like two-channel microarray and one-channel microarray. Two-channel microarray has two samples with different fluorescent dye. One-channel microarray is based on RNA which has labelled with fluorescent dye and hybridized with single array where millions of copies of all known genes. Hybridization-based approaches used to provide the view of gene expression by changing two or more biological conditions.
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月曜日, 26. 8月 2019, Suminoe Ward, 3rd World Congress on Bioinformatics & System Biology (PGR)