Call for Abstract
3rd Annual Genomics and Toxicogenomics Conference, will be organized around the theme “Exploring Genetic Facts for Global Health”
Genomics Summit 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Genomics Summit 2017
Submit your abstract to any of the mentioned tracks.
Register now for the conference by choosing an appropriate package suitable to you.
Genomics is a field within genetics that concerns the sequencing and analysis of an organism’s genome. Diseases and some complex disorders like asthma, cancer, diabetes and heart diseases have been studied in genomics .Genomics testing is broader ,it involves investigating large sections of genetic material and information, from which broad or specific conclusions may be drawn .Proteomics, used in genomics, the large-scale analysis of all of the proteins in an organism, cell or type of tissue
- Track 1-1Personalised genomics
- Track 1-2Clinical Genomics
- Track 1-3Genome engineering
- Track 1-4Role of genomics in health and medicine
- Track 1-5Next Generation Sequencing
- Track 1-6Genome Mapping
Human genetics it’s a part of genomics.it mainly deals with the study of the human traits, genome. Genome is- all DNA enclosed within an organism or a cell including nuclear and mitochondrial DNA. The human genome is the total collection of genes in a human being confined in the human chromosome, composed of over three billion nucleotides. Projects like human genome project which is a scientific research project launched by US government in 1990 with the goal of genetic mapping.
- Track 2-1Genetic counseling
- Track 2-2Teratogenesis
- Track 2-3Immunogenetics
- Track 2-4Bioinformatics in human Genetics
- Track 2-5Neurogenetics
- Track 2-6Reprogenetics
- Track 2-7Human microbiome analysis
- Track 2-8Epigenetics in human Health
- Track 2-9Human phylogeography
Oncogenomics is a study which characterises the genes which may cause cancer. Cancer is a genetic disease mainly caused by tumor formation of mutated cells. Oncogenomics uses molecular markers of gene mutations for early detection of cancer and uses gene mutations found in cancer as targets of drug therapy. The completion of the Human Genome Project has greatly simplified the field of oncogenomics and increased abilities of researchers to find cancer causing genes.
- Track 3-1Next-generation sequencing (NGS) in oncology research
- Track 3-2Comparative oncogenomics
- Track 3-3Molecular genetics and cancer
- Track 3-4Cancer genome sequencing
- Track 3-5Cancer Genome Therapy
- Track 3-6Oncogenomics and therapeutics
- Track 3-7Analysis of oncogenes
- Track 3-8Cancer genetic testing
Medical genetics deals with the identification or detection of hereditary disorders and its management. Medical genetics includes many different areas like clinical practice by physicians, nutritionist, genetic counselors and diagnostic laboratory activities. Genetic medicine- It’s a newer term for medical genetics and involves areas such as gene therapy, personalized medicine, and the quickly emerging new medical specialty, predictive medicine.
- Track 4-1Clinical genetics
- Track 4-2Gene therapy
- Track 4-3Cytogenetics
- Track 4-4Molecular genetics
- Track 4-5Predictive medicine
- Track 4-6Cardiovascular genetics and genomics
- Track 4-7Gene Repair
Metagenomics is the research of the structure and function of nucleotide sequences isolated directly from an environmental sample, especially of a community of microorganisms. Ecogenomics is the broad field may also be referred to as environmental genomics, community genomics. In this field genome analyses begin to be done directly from oceanic samples (ecogenomics or métagenomics), allowing us to access to large sets of gene for uncultivated.
- Track 5-1Environmental metagenomics
- Track 5-2Microbial genomics
- Track 5-3Plant genomics
- Track 5-4Agrigenomics
- Track 5-5Plant & animal genotyping
Genome analysis is the process of identification and comparison or measurement of all the genomics features like structural variation, DNA sequence, genomic annotation at the level of genomic scale. Genomic analysis includes methods like comparison of genomics, microarray analysis, genome annotation, genetic testing, sequencing. Analysis consist many tools like genome comparison tools, format conversion tools, annotation tools, reference tools.
- Track 6-1Comparative genomics
- Track 6-2Genome annotation
- Track 6-3Sequencing pipelines and databases
- Track 6-4Microarray analysis
- Track 6-5Structural genomics
- Track 6-6Genetic testing
- Track 6-7Evolutionary modeling
Genomics era has significantly changed the drug development stratergy. Genome sequence provides a route to investigate the mechanisms that underpin the pathogenesis. Structural genomics, proteomics, metabolomics, immunomics are the perfect route for the identification of targets to design new vaccines and drugs. Genomics had made a rapid development in the discovery of vaccines and therapeutics that target pathogens.
- Track 7-1High-Throughput genomics
- Track 7-2Functional genomics
- Track 7-3Personalized medicine
- Track 7-4Target identification
- Track 7-5Genome-based therapeutics
- Track 7-6Transgenesis
- Track 7-7Epigenomics
- Track 7-8Metagenomics
To elucidate the fundamental mechanism of the gene, genomic informatics develops the methods and software tools. Informatics combines computer science, statistics and engineering to analyse and interpret the data. The main aim of the informatics is to better understanding of genetic basis of particular disorder or disease, desirable properties of some species. Organisational principle within nucleic acid and protein sequence of specific species can be studied.
- Track 8-1Bioinformatics in genomics
- Track 8-2Molecular modelling and drug designing
- Track 8-3In vitro models for drug development
- Track 8-4Epigenomics and non-coding genome
- Track 8-5Tools for functional and comparative genomics
Genome sequence data now provides basic tools for the development of uses for genetic information. Forensic genomics it’s the discipline of genomics which uses the DNA sequencing data for the clinical and forensic purpose. Genomics will lead to rise in the number of drug targets used in pharmaceuticals. It provides information on the genetic basis for side effects and the efficiency of treatments that can be used to tailor prescriptions for individuals.
- Track 9-1Forensic genomics
- Track 9-2Conservation genomics
- Track 9-3Translational genetics and genomics
- Track 9-4Genomics in ageing
- Track 9-5Biomarkers in genomic medicine
- Track 9-6Application of genomics in infectious disease
- Track 9-7Statistical genetics
- Track 9-8Phylogenomics
- Track 9-9Population Genetics
Genetic toxicology is the study which describes the property of chemical substance that damages the genetic information within the cell causing mutations, which leads to serious problem like cancer. Genetic toxicology tests determine if any and how substances cause damage or mutations in DNA and genes, which could lead to cancer.
- Track 10-1In vitro toxicology testing
- Track 10-2Genotoxic chemotherapy
- Track 10-3Gentotoxicity and mutagenicity
- Track 10-4Immunotoxicology
- Track 10-5Genotoxicity testing
- Track 10-6Molecular toxicology
- Track 10-7Nanogenotoxicology
Toxicogenomics is the rapidly developing branch that promises to aid researchers in understanding the molecular and cellular effects of toxic substance on biological systems. Toxicogenomics involves areas like environmental toxicogenomics, clinical toxicology, predictive toxicology, comparative toxicogenomic. The rapid development and evolution of genomics, proteomics and metabonomics based technologies has enhanced the application of gene expression for understanding chemical and other environmental stressors.
- Track 11-1Environmental toxicogenomics
- Track 11-2Influence of genetic variation on toxicological outcomes
- Track 11-3Extrapolation of experimental animals to humans in context risk assessment
- Track 11-4Emerging concepts in toxicology
- Track 11-5Food and chemical toxicology
- Track 11-6Predictive toxicology
- Track 11-7Regulatory toxicology
- Track 11-8Clinical toxicology
- Track 11-9Systems toxicology
- Track 11-10Mechanistic toxicology
- Track 11-11Comparative toxicogenomics
- Track 11-12Molecular mechanism of toxicity and efficacy
Toxicogenomic data assist hazard identification and investigate causes. The key challenge is data interpretation, because toxicogenomics can find molecular changes that are causal, associated with or incidental to toxicity. Using microarrays, scientists can literally see which genes are triggered, repressed, or unchanged by a chemical.
- Track 12-1Gene annotation
- Track 12-2Cross-species extrapolation
- Track 12-3Biomarker qualification
- Track 12-4Translation of assays for regulatory purposes
- Track 12-5Toxicogenomics in regulatory application
- Track 12-6Role of toxicogenomics dose-response analysis
- Track 12-7Validation of biomarkers
Pharmacogenomics uses data about a person's genetic makeup, or genome, to choose the drugs and drug doses that are likely to work best for that specific person. This field combines the science of how drugs work, called pharmacology, with the science of the human genome, named as genomics. Pharmacogenomics may also help to quickly identify the best drugs to treat people with certain mental health disorders.
- Track 13-1Pharmacogenomics and Stratified Healthcare
- Track 13-2Drug labeling
- Track 13-3Pharmacogenomics & personalized medicine
- Track 13-4Predicting drug-drug interactions
- Track 13-5Role of pharmacogenomics in polypharmacy
Omic technology primarily aimed at the universal detection of genes (genomics), mRNA (transcriptomics), proteins (proteomics) and metabolites (metabolomics) in a particular biological sample. Mass spectrometry is the most common method used for detection of analyte in proteomic and metabolomic research. Genomic and transcriptomic research has progressed due to advances in microarray technology. Omic technologies have a broad range of applications.
- Track 14-1Genomic SNP analysis
- Track 14-2Proteomics techniques
- Track 14-3Metabolomics analysis
- Track 14-4Transcriptomic measurements