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.

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

Sequence analysis represents the process of Analysing a DNA, RNA, Peptide sequence to understand its features, function, and Structure. Sequence analysis includes Sequence Assembly and Alignment. In analysis comparison of sequence in order to find Similarity and Identification of intrinsic features like active sites, Post translational modification sites and Distribution of introns and exons. DNA sequencing is a technique used to determine the adenine, guanine, cytosine and thymine strands of DNA. DNA sequencing includes methods like Sanger Sequencing, Pyrosequencing and Shot gun sequencing. Protein Sequencing method determines the amino acid sequence and conformations of protein by using methods like Edman Degradation and mass spectroscopy. Sequence Assembly is the process of Reconstructing DNA sequence by aligning and Merging the small DNA fragments. Sequence Alignment shows way of arranging DNA, RNA and protein sequence to identify the similarity regions. These alignment techniques can be identified by Pairwise alignment and Multiple sequence alignment.   

  • Track 2-1DNA Sequencing
  • Track 2-2Genome Annotation
  • Track 2-3Comparative Genomics
  • Track 2-4Analysis of Mutation in Cancer
  • Track 2-5Sequence Assembly
  • Track 2-6Protein Sequencing
  • Track 2-7Sequence Alignment

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(SCOP) used to classify the protein domains based on similarities of structure and amino acid sequence. SCOP 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 3-1Protein Folding
  • Track 3-2Sequence Alignment
  • Track 3-3Structure Prediction
  • Track 3-4Protein -Protein Interaction
  • Track 3-5Protein -RNA Interaction
  • Track 3-6Homology Modelling
  • Track 3-7Function Prediction
  • Track 3-8Bioinformatics Tools
  • Track 3-9Nucleotide Sequence Database
  • Track 3-10Protein Sequence Database
  • Track 3-11Biomolecule Structure Database

 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 4-1Correlating Expression Patterns
  • Track 4-2Mapping Expression Data
  • Track 4-3Mapping Sequence Data

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

Bioinformatics algorithm is a sequence of instruction to perform a well-formulated problem in the field of biology. Algorithm technique includes dynamic programming, Graphical theoretical methods. Algorithm approach on system biology used in classification of biochemistry, protein-protein interaction and protein-domain interaction. In bioinformatics algorithm Microarray design used to analyse and implement the meta-analysis of gene expression data. 

  • Track 6-1Biological Sequencing
  • Track 6-2Pairwise Alignment in Linear Space
  • Track 6-3Multiple Alignment using Sp-Score
  • Track 6-4Speed up Dynamic Programming

 Simulation and modelling is the process of representing the model and analysing the performance of a proposed system. Modelling creates the model which represents the properties and simulation used to represent the performance of the system. Modelling and Simulation process essay to understand, test and diagnosing problems. In modelling and simulation include verification and validation. Verification used to compare the accuracy of the model. Validation process used to compare the experimental measurements for the simulated results and Experimental frames. 

  • Track 7-1 Behavior of the Object
  • Track 7-2 Experimental Frames
  • Track 7-3 Verification
  • Track 7-4Validation

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 8-1Network Theory
  • Track 8-2Nonlinear Thermodynamics
  • Track 8-3Quantitative Analysis
  • Track 8-4Predict Systemic Features
  • Track 8-5Drug Designing
  • Track 8-6Drug Targeting
  • Track 8-7Non Linear System Analysis

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 9-1Comphrension of Cell Signalling Networks
  • Track 9-2Theoretical Models of Signal Transduction
  • Track 9-3Subcellular Targeting Mechanism
  • Track 9-4Alternations in Protein Networks
  • Track 9-5Comparison of Multiple Gene Regulations
  • Track 9-6Functional Interpretation of Gene

Docking is a process to find the best matching between two molecules. Docking is the process which predicts the orientation of one molecule to another molecule which bound to form stable complex. Docking which show extreme relevance cellular biology and drug design. Docking approaches uses matching technique which describes the protein and ligand as a complementary. In docking process actual protein pairwise, interaction energies is calculated. Docking shows the process by which molecular modelling software fits a molecule into target binding sites. Two types of docking are analysed rigid docking and flexible docking. Docking determines the intermolecular interactions between binding sites.

  • Track 10-1Simulation
  • Track 10-2Ligand Flexibility
  • Track 10-3Receptor Flexibility
  • Track 10-4Hit Identification
  • Track 10-5Lead Optimization
  • Track 10-6Drug -DNA Interaction

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 11-1Genome Mapping
  • Track 11-2Bottom up Approach
  • Track 11-3Top Down Approach
  • Track 11-4Genome Sequencing

Cheminformatics is a computer and information technique used to solve problems in a field of chemistry. In cheminformatics in silico technique are used in the pharmaceutical companies in the process of drug discovery. Analyses and modelling contain a variety of computational technique that aimed to be simulating molecular structure and their properties. Visualizing the molecules of different modes which are analysed to identify the merging molecules, super imposing molecules and space and bonds of individual molecules. In chemical toxicology used to test the toxicity chemicals and giving information about the potency and effects. Computer assisted synthesis design technique used to design, discover, and optimize the desired structure and properties. 

  • Track 12-1Analysis and Modelling
  • Track 12-2Regulations
  • Track 12-3Toxicology
  • Track 12-4Pharmacology
  • Track 12-5Visualization
  • Track 12-6Organisation
  • Track 12-7Computer Assisted Synthesis Design
  • Track 12-8Structure Representstion

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 13-1coding for Target Proteins
  • Track 13-2Identification
  • Track 13-3Analysis
  • Track 13-4Pharmcogenomics
  • Track 13-5Drug Target Identification and Validation
  • Track 13-6Assay Development

In Genomics a cell contains complete set of DNA. In functional genomics role of genes has been identified by gene which are underexpression 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 14-1Clinical Proteomics
  • Track 14-2Characterizes the Proteins
  • Track 14-3Structural Proteomics
  • Track 14-4Functional Proteomics
  • Track 14-5Expression Proteomics
  • Track 14-6Mapping
  • Track 14-7Sequencing
  • Track 14-8Function of Genomics
  • Track 14-9Analysis of Genomics

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 15-1Development of Health Care Services
  • Track 15-2Management
  • Track 15-3Consumer Health Informatics
  • Track 15-4Public Health Informatics

 Comparative Genomics is an approach that compare two or more genomes to identify the similarities and difference between the genome to analyse the individual genome. Comparative Genomics mainly shows in the studies of Evolutionary biology, Drug Discovery, Functional prediction of proteins, Identification of Genes, Regulatory Genomics and Genome Dynamics. Comparative Genomics are analysed based on three properties like analysis on genome structure, analysis on coding region, analysis on non-coding region. Comparative analysis in genome structure which shows information such as nucleotide composition and similarities relationship from one genome to another genome. These analysed structures can be compared based on nucleotide statistics, structure at DNA level and structure at gene level. Comparative analysis of coding region shows comparison mainly on gene content, protein content and function prediction. Comparative genomics in drug discovery analysis at Genome wide scale that ability to identify and develop novel drug targets.    

  • Track 16-1Drug Development Programs
  • Track 16-2Prediction of Functional Proteins
  • Track 16-3Analysing Genome Structure
  • Track 16-4Analysing Coding and Non Coding Regions
  • Track 16-5Therapeutic Interventions

 Biomedical Informatics field of studies that shows effective information of biomedical data, problem solving, decision making, health care delivery system and classical environment & medical practice. Medical informatics has been rooted in medical and computer science. Biomedical informatics investigates the support of modelling, simulation, translation across molecules of populations and dealing with various of biological system. Biomedical informatics developed in educational strategies like word processing, information retrieval, information management and data analysis.     

  • Track 17-1Science of Analysis
  • Track 17-2Health care Delivary System
  • Track 17-3Medical Practice
  • Track 17-4Focussed on Problem Based Approach
  • Track 17-5Improves Eductional Strategies

 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 million 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 18-1Includes Set of All RNA Molecules
  • Track 18-2Hybridization Based Approaches
  • Track 18-3Sequence Based Approaches
  • Track 18-4Microarrays used to Determine the Gene Expression
  • Track 18-5Determing Functional Elements of Genome

 Genetic Regulatory Networks process that describes the genes, proteins and small molecules which shows interactions to control the rate of transcription. Genetic Regulatory Network shows interaction in both unicellular organism and multicellular organism. In unicellular organism like yeast, which regulatory network shows response to the environment to make the cell survival. In multicellular organism regulatory network shows to control transcription, cell signalling and development. Genetic Regulatory Network control system used to regulate the thousands of gene expression in development process. These control systems contain genome as logical processing system, network substructure and reengineering the genomic control system. 

  • Track 19-1Mutually Interacts to Control Rate of Transcription
  • Track 19-2Regulatory Networks Control cell Signalling
  • Track 19-3Reengineering Genomic Control Systems
  • Track 19-4Activate Transcription Factor of Proteins

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 20-1Analyses the Gene Expression Patterns
  • Track 20-2Detection of Mutation in Genomic DNA
  • Track 20-3Data Analysis
  • Track 20-4Hybridisation