Track Categories

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.

Bioinformatics 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 species.

  • Track 1-1Analysis of gene expression
  • Track 1-2Analysis of regulation
  • Track 1-3Analysis of mutation in cancer
  • Track 1-4Comparative genomics
  • Track 1-5High throughput image analysis

System 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.

  • Track 2-1Network Theory
  • Track 2-2Nonlinear Thermodynamics
  • Track 2-3Quantitative Analysis
  • Track 2-4Predict Systemic Features
  • Track 2-5Drug Designing
  • Track 2-6Drug Targeting
  • Track 2-7Non Linear System Analysis

The 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 method.

  • Track 3-1Genetics linkage map of human genome
  • Track 3-2Physical map of human genome
  • Track 3-3Experimentally determined gene function
  • Track 3-4Coordination of gene expression
  • Track 3-5Coordination of protein synthesis

Biotechnology 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 operations.

  • Track 4-1Genetic Engineering
  • Track 4-2Protein Engineering
  • Track 4-3Pharmacology
  • Track 4-4Nano Biotechnology
  • Track 4-5Bioinformatics
  • Track 4-6Chemical Engineering

Mapping 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.

  • Track 5-1Bottom up Approach
  • Track 5-2Top Down Approach
  • Track 5-3Genome Sequencing

Sequence 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 markers.

  • Track 6-1DNA Sequencing
  • Track 6-2Sanger sequencing method
  • Track 6-3Shotgun sequencing method
  • Track 6-4Gene sequence determination
  • Track 6-5Expressed sequence tags

Phylogenetic 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 function.

  • Track 7-1Molecular Phylogenetics
  • Track 7-2Phylogenetic Inference
  • Track 7-3Exotic Algorithms
  • Track 7-4Heuristic Algorithms
  • Track 7-5Clustering Methods
  • Track 7-6Molecular Sequencing

Comparative 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 expression.

  • Track 8-1horizontally transferred genes
  • Track 8-2conservation of synteny groups
  • Track 8-3pan-genome sizes and their evolution for a set of genes
  • Track 8-4common and variable proportions of each genome
  • Track 8-5variable genome and strain specific sequences and annotations

Gene 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.

  • Track 9-1Biological Process
  • Track 9-2Cellular Component
  • Track 9-3Gene Annotation
  • Track 9-4Tools of Gene Ontology
  • Track 9-5Molecular Function

Structural 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 biology.

  • Track 10-1Protein Folding
  • Track 10-2Sequence Alignment
  • Track 10-3Structure Prediction
  • Track 10-4Protein -Protein Interaction
  • Track 10-5Protein -RNA Interaction
  • Track 10-6Homology Modelling
  • Track 10-7Function Prediction
  • Track 10-8Bioinformatics Tools
  • Track 10-9Nucleotide Sequence Database
  • Track 10-10Protein Sequence Database
  • Track 10-11Biomolecule Structure Database

Next 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.

  • Track 11-1Sequencing by Synthesis
  • Track 11-2Sequencing by ligation
  • Track 11-3Pyrosequencing
  • Track 11-4Targeted resequencing
  • Track 11-5Genome analyser sequencing

Proteomics 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 practice.

  • Track 12-1expression proteomics
  • Track 12-2Structural Proteomics
  • Track 12-3Bioinformatics technologies
  • Track 12-4Proteomics technologies
  • Track 12-5Protein Microarray
  • Track 12-6Biomarkers
  • Track 12-7Pharmaceutical
  • Track 12-8drug discovery

Microarray 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 technique.

  • Track 13-1Analyses the Gene Expression Patterns
  • Track 13-2Detection of Mutation in Genomic DNA
  • Track 13-3Data Analysis
  • Track 13-4Hybridisation

Biomedical 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 diagnoses.

  • Track 14-1Optical Molecular Imaging Technologies
  • Track 14-2Biomedical signal processing
  • Track 14-3Image reconstruction and modelling technique
  • Track 14-4Computerized algorithms
  • Track 14-5Image processing

In 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 structure.

  • Track 15-1Clinical Proteomics
  • Track 15-2Characterizes the Proteins
  • Track 15-3Structural Proteomics
  • Track 15-4Functional Proteomics
  • Track 15-5Expression Proteomics
  • Track 15-6Mapping
  • Track 15-7Sequencing
  • Track 15-8Function of Genomics
  • Track 15-9Analysis of Genomics

Gene 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.

  • Track 16-1Correlating Expression Patterns
  • Track 16-2Mapping Expression Data
  • Track 16-3Mapping Sequence Data

Metabolic 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.

  • Track 17-1Comphrension of Cell Signalling Networks
  • Track 17-2Theoretical Models of Signal Transduction
  • Track 17-3Subcellular Targeting Mechanism
  • Track 17-4Subcellular Targeting Mechanism
  • Track 17-5Alternations in Protein Networks
  • Track 17-6Comparison of Multiple Gene Regulations
  • Track 17-7Functional Interpretation of Gene

Drugs 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.

  • Track 18-1Nanotechnology
  • Track 18-2coding for Target Proteins
  • Track 18-3Identification
  • Track 18-4Analysis
  • Track 18-5Pharmacogenomics
  • Track 18-6Drug Target Identification and Validation
  • Track 18-7Assay Development

Health 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.

  • Track 19-1Development of Health Care Services
  • Track 19-2Management
  • Track 19-3Consumer Health Informatics
  • Track 19-4Public Health Informatics

Transcriptomics 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.

  • Track 20-1Includes Set of All RNA Molecules
  • Track 20-2Hybridization Based Approaches
  • Track 20-3Sequence Based Approaches
  • Track 20-4Microarrays used to Determine the Gene Expression
  • Track 20-5Determing Functional Elements of Genome