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12th World Conference on Human Genomics and Genomic Medicine, will be organized around the theme “Discovery to Interpretation and Implementation”

Human Genome 2019 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Human Genome 2019

Submit your abstract to any of the mentioned tracks.

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Genomics is the investigation of genomes, the entire arrangement of hereditary material inside a life form. Genomics includes the sequencing and examination of genomes. Genomics is additionally worried about the structure, capacity, examination, and advancement of genomes. As opposed to hereditary qualities, which alludes to the investigation of individual qualities and their parts in legacy, genomics utilizes high throughput DNA sequencing and bioinformatics to amass, and examine the capacity and structure of whole genomes. Advancement in genomics made a transformation in discovery-based research and systems biology to understand complex biological systems such as the brain.

  • Track 1-1Functional Genomics
  • Track 1-2Structural Genomics
  • Track 1-3Epigenomes
  • Track 1-4Metagenomics
  • Track 1-5Comparative Genomics
  • Track 1-6Genome Analysis- Sequencing, Genome Annotation

Human Genetics is the branch of Genetics which includes the study of inheritance that occurs in human beings. It consists of various subfields such as classical genetics, cytogenetics, molecular genetics, biochemical genetics, genomics, population genetics, developmental genetics, medical genetics, and genetic counseling. Research on human genetics, can explain the human nature, understand and development of effective treatment for illnesses.

  • Track 2-1Medical Genetics
  • Track 2-2Population Genetics
  • Track 2-3Mitochondrial DNA
  • Track 2-4Mendelian Traits in Humans
  • Track 2-5Genomics
  • Track 2-6Genetic Differences and Inheritance Patterns

Human Genetics is the branch of Genetics which includes the study of inheritance that occurs in human beings. It consists of various subfields such as classical genetics, cytogenetics, molecular genetics, biochemical genetics, genomics, population genetics, developmental genetics, medical genetics, and genetic counseling. Research on human genetics, can explain the human nature, understand and development of effective treatment for illnesses.

  • Track 3-1Genetically Modified Crops
  • Track 3-2Genetically Modified Sugar Cane
  • Track 3-3Recombinant Food-Grade Organisms for Healthcare
Semantic interoperability is therefore concerned not just with the packaging of information (syntax), however the simultaneous transmission of the meaning with the data (semantics). This is accomplished by using adding data about the facts (metadata), linking each statistics element to a controlled, shared vocabulary. The meaning of the data is transmitted with the data itself, in one self-describing "information package" that is independent of any data machine. it is this shared vocabulary, and its related links to an ontology, which provides the foundation and functionality of machine interpretation, inference, and logic.
  • Clinical Documentation
  • Data Strategy
  • Emerging and Disruptive Technologies
  • Clinical Surveillance

 

Preimplantation genetic diagnosis (PGD) is a method used prior to implantation to help identify genetic defects inside embryos. This serves to prevent certain genetic diseases or issues from being passed directly to the child. The embryos utilized in PGD are usually created during the procedure of in vitro fertilization.

  • Reprogenetics
  • Methods in preimplantation genetic diagnosis
  • Preimplantation genetic diagnosis for cancer predisposition
  • Preimplantation genetic diagnosis: development and regulation
  • Preimplantation genetic diagnosis for cystic fibrosis: a case report

Computational biology and bioinformatics is an interdisciplinary field that develops and applies computational techniques to examine large collections of biological data, along with genetic sequences, cell populations or protein samples, to make new predictions or find out new biology. The computational techniques used include analytical methods, mathematical modeling and simulation.

  • Biochemistry Research
  • Computational genomics
  • Computer Modeling
  • Artificial intelligence
  • Track 6-1Biochemical Reaction Networks
  • Track 6-2Cellular Signaling Networks
  • Track 6-3Classification and Taxonomy
  • Track 6-4Communication and Teplication
  • Track 6-5Computational Models
  • Track 6-6Computational Neuroscience
  • Track 6-7Computational Platforms and Environments

Gene mapping describes the strategies used to identify the locus of a gene and the distances between genes. The essence of all genome mapping is to place a collection of molecular markers onto their respective positions at the genome. Molecular markers come in all forms. Genes can be viewed as one special form of genetic markers in the creation of genome maps, and mapped the same way as other markers.

  • Track 7-1Genetic Linkage and Chromosome Mapping
  • Track 7-2Genotypic Mapping- Basic Understanding
  • Track 7-3Genotypic Mapping- Basic Understanding

Bioinformatics is the technology that combines the fields of computer science and biology; to use computational strategies and techniques in biological methods to facilitate in data analysis and management. Bioinformatics has its applications in life sciences along with genomics, proteomics, systems biology, molecular biology. Drug design and development is an essential area in life sciences as with the ever-changing times, the diseases have also greatly advanced in terms of severity and wide variety causing more harm than ever. Drug development is the method of testing a drug against a target that has been selected/ identified via drug discovery. But, this whole process is classified under modern drug development methods.

  • Track 8-1Anti-Cancer Drug Delivery
  • Track 8-2Anti-Cancer Drug Delivery
  • Track 8-3Cancer Drugs and Cancer Vaccines
  • Track 8-4Anti-Cancer Drugs
  • Track 8-5Drug Design

Genomic approaches to drug discovery is large development has been made in exploiting the enormous amount of genomic and genetic information for the identification of potential goals for drug discovery and development. New tools that contain pathway information have been developed for gene expression information mining to reflect differences in pathways in regular and disease states.

Genomic medicine as "an emerging clinical field that includes the use of genomic statistics about an individual as a part of their medical care (e.g., for diagnostic or therapeutic decision-making) and the health effects and policy implications of that medical use." Already, genomic medicine is making an effect in the fields of oncology, pharmacology, rare and undiagnosed illnesses, and infectious disease.

 

 

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Pharmacogenomics is the study of the function of genetics in drug response. A computational advance in Pharmacogenomics has proven to be a blessing in studies. A large amount of studies in the biomedical sciences regarding Pharmacogenomics as of late stems from combinatorial chemistry, genomic mining, technologies and high throughput screening. So as for the field to grow rich knowledge businesses and business have to work more closely together and adopt simulation techniques.

  • Track 11-1Toxicogenomics
  • Track 11-2Chemogenomics
  • Track 11-3Personalized Medicine
  • Track 11-4Clinical Pharmacogenetics
  • Track 11-5Pharmacogenetics in Cardiovascular Medicine
  • Track 11-6Cancer Pharmacology
  • Track 11-7Cancer Pharmacology
  • Track 11-8Cancer Pharmacology
  • Track 11-9Cancer Pharma Industry

Clinical Genomics is the usage of genome sequencing to inform patient diagnosis and care. The California Initiative to advance Precision medicine has just been launched, and it is being headed by u.s.’s high profile recent hire, Atul Butte. American college of medical Genetics, formed in 1991 to assist improve health through medical genetics, regularly publishes a list of internationally-recognized standards and guidelines describing best practices for testing using genetic processes. in addition, the international standards for Cytogenomic Arrays (ISCA) Consortium, of which OGT is a member, is a growing institution of molecular genetics laboratories actively running closer to enhancing healthcare through the established order of hints for molecular testing, such as the creation of standardized a CGH arrays for clinical genetics studies. The most cancers Cytogenomics Microarray Consortium (CCMC) is a similar group, lately founded with the aim of maximizing the advantages provided by means of microarrays for cancer research. These corporationscontinue to work towards outlining a set of standards to ensure that molecular techniques enhance and beautify the services provided by using medical research laboratories.

  • Track 12-1Clinical Application for Biomarkers
  • Track 12-2Clinical Breast Exam and Breast Self-Exam
  • Track 12-3Clinical Trials and Case Report
  • Track 12-4Cancer Pharmacogenetics

Cancer Genomics is the study of genetic mutations responsible for most cancers, the usage of genome sequencing and bioinformatics. Medical genomics is to improve cancer treatment and results lies in determining which sets of genes and gene interactions affect different subsets of cancers. International cancer Genome Consortium (ICGC) is a voluntary scientific organization that gives a forum for collaboration among the world's main cancer and genomic researchers.

  • Track 13-1Cancer Genome Sequencing
  • Track 13-2Cancer Epigenetics
  • Track 13-3Next Generation Sequencing in Cancer
  • Track 13-4Molecular Diagnostics for Cancer

Epigenetic biomarkers is the modifications of the genome with preserved DNA sequence. DNA methylation measurement in cell, it may also be useful in improving early detection by measuring tumor DNA released into the blood. Molecular biomarkers are used routinely in a clinical setting to assess the medical state of patients and in several other medical contexts, including clinical trial endpoints, pharmaceutical development, and basic science research. The clinical validation of epigenetic biomarkers to allow the accurate prediction of the outcome of cancer patients and their potential chemo sensitivity to current pharmacological treatments. A clinical example of a biomarker is plasma glucose.

  • Testis Cancers
  • Urological Cancers
  • Genetic Biomarkers
  • Biomarkers for lung cancer
  • Breast Cancer
  • Ovarian Cancer     
  • Malignant rhabdoid Tumors