The track category is the heading under which your abstract will be reviewed and later published in the conference printed matters if accepted. During the submission process, you will be asked to select one track category for your abstract.
Genes are considered the building blocks of life. Genetics is the scientific study of how specific traits and physical characteristics are passed from one generation to another which is also known as Heredity. A complete set of genes of a single organism is called Genome and the study of organism’s Genome is Genomics. They majorly classify into Structural and Functional Genomics. It helps to prevent disease, diagnose and possibly cure genetic disorders. It also provides information about physical characteristics, Personality, Behaviour of an organism. Research in Genomics may help learn more about a person’s genetic makeup.
- Track 1-1Personalised Medicine
- Track 1-2Stem Cell Research
- Track 1-3Genotyping
- Track 1-4Sequencing Data Analysis
- Track 1-5Methylation Sequencing
- Track 1-6Gene Expression Analysis
Sequencing the Genome of an organism is merely the start. Genome analysis is used to answer questions about each sequences and sequence product such as: what its function is, what are the implications of mutations within the gene, how it is expressed both temporally and spatially throughout life cycle of an organism, what similar gene exists in different species of organisms, what genes are involved in disease. Model organism databases (MODs) are used to organize this information. Analysis of data generated by genome sequencing, Proteomics and array-based technologies is critically vital. Genome analysis answers questions about function and expression of genes.
- Track 2-1Human Genome Project (HGP)
- Track 2-2Large Scale Genome Sequencing
- Track 2-3Knock-out Mouse Project
- Track 2-4The Cancer Genome Atlas Group
- Track 2-5ENCODE (Encyclopaedia of DNA Elements)
Structural Genomics explains 3D Structure of each protein encoded by a given genome. This approach allows a high-throughput technique of structure determination by a combination of experimental and modelling approaches. The principle difference between Genomics and structural prediction is that structural genomics tries to see the structure of every protein encoded by the genome instead of focussing on one specific protein. Protein function depends on 3D structure and these structures are extremely preserved sequences. Thus high-throughput structure determination strategies have potential to tell our understanding of protein functions. This additionally has potential implications on Drug discovery and Protein Engineering.
- Track 3-1De-novo Method
- Track 3-2Ab-initio Modelling
- Track 3-3Sequence Based Modelling
- Track 3-4 Threading
- Track 3-5Protein Structure Initiative
The field of Functional Genomics tries to explain functions and interactions of genes and proteins by creating use of genome wide approaches, in contrast to gene-by-gene approach of classical biological techniques. It combines data derived from different processes associated with DNA sequence, gene expression and protein function like coding and non-coding transcriptions. Microarray and Next Generation Sequencing technologies have allowed researchers to find many alternative aspects of cell, together with DNA mutations, Histone modifications, Chromatin structure, Transcription, Translation on a genome-wide level.
- Track 4-1Next Generation Sequencing
- Track 4-2DNA Microarrays
- Track 4-3Mass Spectrometry
- Track 4-4Interact-omics
Clinical Genomics, also known as clinicogenomics, is the study of clinical outcomes with genomic information. Genomic factors have casual impact on clinical knowledge. Clinicogenomics uses the complete genome of a patient so as to diagnose diseases or modify medications solely for the patient. Whole genome testing can discover a lot of additional mutations and structural anomalies than targeted gene testing. Moreover, targeted gene testing can solely test for the diseases that the doctor screens, whereas testing the entire genome screens for all diseases with best known markers directly.
- Track 5-1Polymerase Chain Reaction
- Track 5-2Karyotyping
- Track 5-3Quantitative fluorescent PCR
- Track 5-4Multiplex Ligation Probe Amplification (MLPA)
As a result of high cost and maintaining livestock is much higher than plants making it harder to maintain enough populations, animal breeders revolved around studying traits such as productivity, disease resistance and longevity of animals. Farm animals are valuable resources. It is of interest to wide audience of researchers, understanding how genomics and proteomics function in various organisms. Applications such as Xenotransplantation, transgenesis increased livestock productivity and bioengineer new materials.
- Track 6-1Expression Sequence tags
- Track 6-2The Swine Sequence
- Track 6-3Bos Taurus genome
- Track 6-4Sheep Genome project
- Track 6-5Physical Mapping
- Track 6-6Translational Genomics
Plant Genomics is the fast-evolving advanced science that enables scientists to understand the genetic architecture of plant genome and to isolate genes responsible for mutations. Plant Genomics identifies genes behind biological functions and reduces gap between phenotype and genotype. It also helps in maintaining large number of databases that assists us to study genetic variation and to develop new plant type.
- Track 7-1Genetic Mapping
- Track 7-2Whole Genome Sequencing
- Track 7-3Crop Yield Improvement
- Track 7-4Genome Editing
- Track 7-5Synthetic Biology
It is an important part of precision medicine and is the study of how a person’s genetic makeup will affect their response to a drug. Health care suppliers can use pharmacogenomic data to assist decide the foremost acceptable treatment for every individual. Some examples include selecting a drug that is more likely to work, avoiding medicine that may have side effects, adjusting the dose of a drug or determining if closer observance is required. Additionally, Pharmacogenomics plays a vital role in drug development process, opening new opportunities in drug discovery.
- Track 8-1Gene-Gene interactions
- Track 8-2Allele-Specific variation in human gene expression
- Track 8-3Oligo Microarrays
- Track 8-4 SNP Genotyping
- Track 8-5GWAS (Genome Wide Association Studies)
- Track 8-6PharmGKB
The field of cancer genomics is a relatively new research area that takes advantage of recent technological advances to review the human genome which means our full set of DNAs. By sequencing the DNA and RNA of cancer cells and examining the sequences to normal tissue such as blood, scientists identify genetic variations that causes cancer. This approach called structural genomics may also measure the activity of genes encode in our DNA in order to understand which proteins are abnormally active or silenced in cancer cells, contributing to their uncontrolled growth.
- Track 9-1Cancer Immunogenomics
- Track 9-2The Cancer Genome Atlas (TCGA)
- Track 9-3The genetics of Cancer
- Track 9-4Cancer Genome Characterization Initiative (CGCI)
- Track 9-5Chromatin Immunoprecipitation Sequencing (ChIP-Seq)
- Track 9-6Copy number variation Assays
- Track 9-7DNA RNA sequencing for Translocation detection
Cytogenomics or cytogenetics is also called Chromosome Analysis is the science that relates to the study of chromosomes. Each person has 23 pairs of chromosomes and one pair of sex chromosomes. Each chromosome pair is assigned with a special number that is based on their staining pattern and size. There are many disorders that can be diagnosed by examining a person’s whole chromosomes. Abnormalities in chromosome structure are also observed with Cytogenic staining techniques and translocation disorders like chronic myeloid Leukaemia (CML) AND Burkitt’s Lymphoma can also be detected.
- Track 10-1Fluorescent In-situ Hybridisation (FISH)
- Track 10-2Spectral Karyotyping
- Track 10-3Comparative Genomic Hybridisation
- Track 10-4Molecular Cytogenetics
The study of how different foods may act with specific genes to increase the risk of common chronic diseases like type 2 Diabetic disorders, Obesity, Cardiovascular disease, Stroke and certain cancers. Nutrigenomics additionally seeks to produce a molecular understanding of how common chemicals in the diet influence health by altering the expression of genes and therefore the structure of Human Genome. The premise underlying Nutrigenomics I that the influence of diet on health depends on a human genetic makeup. Nutrigenomics can reveal several health-related issues that helps to understand what fuels our body and what doesn’t. For example, it helps us understand if a person is lactose or gluten tolerant, how your body processes nutrients and helps in managing your weight.
- Track 11-1Nutritional Epigenetics
- Track 11-2Foodomics
- Track 11-3Nutriomics
- Track 11-4Orthomolecular Medicine
- Track 11-5Public Health Genomics
Next-Generation sequencing lends itself significantly well to the microbial laboratory, where the genomes are small. The appealing difference between sequencing and all different laboratory measurements is that the results will be directly associated with a genomic locus and a possible clarification of biological impact.
- Track 12-1Antibiotic resistance and virulence
- Track 12-2Epidemics and transmission
- Track 12-3Microbial Identification
- Track 12-4Directed evolution and bioengineering
- Track 12-5Vaccine production
Molecular Biology is a branch of biology that issues the molecular basis of biological activity between biomolecules within the numerous systems of a cell, together with interactions between DNA, RNA, Proteins and their biogenesis, likewise because the regulation of those interactions. In the early 2000s, the study of gene structure and function, Molecular genetics, has been among the foremost outstanding subfields of molecular biology. Progressively several different areas of biology target on molecules, either directly studying interactions like in Cell biology and Developmental Biology. Cell Biology is the study of structure and function of the cell which is the basic unit of life. There are many main subfields within Cell biology. One is the study of Cell energy and the biochemical mechanisms that support cell metabolism.
- Track 13-1Molecular Cloning
- Track 13-2Macromolecule Blotting and Probing
- Track 13-3Allele-Specific Oligonucleotides
- Track 13-4Cell-cell interactions
- Track 13-5Chemical and Molecular Environment
- Track 13-6Cell-Signalling
- Track 13-7Apoptosis
Transcriptome refers to all RNA molecules from protein coding (mRNA) to Noncoding RNA, together with rRNA, tRNA, IncRNA, pri-miRNA and others. Transcriptome could apply to a whole organism or a particular cell type. Strategies to comprehensively and systematically interrogate the expression virtually all RNA species have been developed and complement global approaches to studying genome sequence, structure and its variability. Microarray and more recently High throughput next generation DNA sequencing has made assessing the transcriptome a routine laboratory practice.
- Track 14-1Brain Transcriptome
- Track 14-2Human Transcriptome
- Track 14-3Data Integration
- Track 14-4Personalised Medicine
- Track 14-5Blood Transcriptomics
- Track 14-6DNA Sequencing of a Gene
Recombinant DNA is the term applied to chimeric DNA molecules that are constructed in vitro, then propagated in a host cell or organism. The basic recombinant DNA consists of a vector and an insert. Vectors has been engineered to accommodate inserts conveniently. The resulting recombinant DNAs are often referred to as clones, which is shorthand for chimeric DNAs that are isolated in cellular or viral clones. This process of producing recombinant DNAs are called Gene cloning or DNA Cloning.
- Track 15-1DNA Recombination
- Track 15-2Medical Biotechnology
- Track 15-3Gene Therapy
- Track 15-4Transfusion Therapy
- Track 15-5DNA Sequencing of a Gene
Metabolomics is the investigation of substance forms including metabolites, the little atom intermediates, and results of digestion. It is a necessary innovation for understanding the capacity of natural frameworks. Metabolomics is additionally a foundation innovation for exactness prescription since its affectability and specificity consider the precise estimation of metabolites on an individual patient level to enhance our comprehension of and the impacts of qualities, microbiome, diet, a way of life and medication treatment.
- Track 16-1Metabolome
- Track 16-2Metabolites
- Track 16-3Statistical Methods
- Track 16-4Edibilomics
- Track 16-5Exo metabolomics