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3rd International Conference on Integrative Biology, will be organized around the theme “Discovering, Innovating and Engineering Future Science”

Integrative Biology 2015 is comprised of 10 tracks and 79 sessions designed to offer comprehensive sessions that address current issues in Integrative Biology 2015.

Submit your abstract to any of the mentioned tracks. All related abstracts are accepted.

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Genomics and bioinformatics research often requires the development of new techniques utilizing Genomics and bioinformatics tools for target assessment, including both experimental protocols and data analysis algorithms, to enable a deeper understanding of complex biological systems. In this respect, the field is entering a new and exciting era; rapidly improving “next-generation” DNA sequencing technologies, Cloud computing, hadoop in genomics, now allow for the routine sequencing of entire genomes and Transcriptomes, or of virtually any targeted set of DNA or RNA molecules. Bioinformatics is both an umbrella term for the body of biological studies that use computer programming as part of their methodology, as well as a reference to specific analysis by Bioinformatic tools for protein analysis that are repeatedly used, particularly in the fields of Structural genomics and bioinformatics in systems biology. Common uses of bioinformatics include the identification of candidate genes and nucleotides (SNPs). Often, such identification is made with the aim of better understanding the Translational bioinformatics for genomic medicine, Genomics in marine monitoring, and Applications of genomics and bioinformatics. Genomic labs have the fastest growing market with nearly 250 universities concentrating on its research majorly to be named Whitetail Genetic Research Institute, Stanford University, National Human Genome Research Institute. Major companies concentrating on the research are Affymetrix, Applied Biosystems, Foster City, Genentech etc.
  • Track 1-1Genomics and bioinformatic tools for target assessment
  • Track 1-2Functional genomics and bioinformatics in systems biology
  • Track 1-3Cloud computing , hadoop in genomics
  • Track 1-4Structural genomics
  • Track 1-5Bioinformatic tools for protein analysis
  • Track 1-6 Genomics in marine monitoring
  • Track 1-7 Applications of genomics and bioinformatics
  • Track 1-8Translational bioinformatics for genomic medicine
Computational Biology, sometimes referred to as bioinformatics, is the science of using biological data to develop algorithms and relations among various biological systems. It involves the development of Tools for integrative meta-analysis, 3c-based data integration and application of Networks and OMICS data, mathematical modeling and computational simulation techniques to the study of Integrative eqtl-based analyses, High performance genomics data visualization and Laboratory information management system. The field is broadly defined and includes foundations in computer science, applied mathematics, animation, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, ecology, evolution, anatomy, neuroscience, and visualization. Computational biology is different from biological computation, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is similar to bioinformatics, which is an interdisciplinary science using computers to store and process biological data with applications of Gene regulatory networks in human pathogens, Drug-target disease networks with Computational approaches to drug discovery and Integrative modeling of bio molecular complexes. Computational Biology research has grown after the increased research in Genomics with major universities like Iowa State University, University Of California, and The George Washington University Concentrating on the growing topic. The Bisti Consortium has even launched the NIH and Government Programs and Initiatives in Biomedical Informatics and Computational Biology (BICB) with a list of programs concentrating on Computational Biology Research
  • Track 2-1Gene regulatory networks in human pathogens
  • Track 2-2Cancer computational biology
  • Track 2-3Integrative modeling of bio molecular complexes
  • Track 2-4Computational approaches to drug discovery
  • Track 2-53c-based data integration
  • Track 2-6Bayesian network inference algorithm
  • Track 2-7Tools for integrative meta-analysis
  • Track 2-8 Integrative computational oncology
  • Track 2-9Integrative eqtl-based analyses
  • Track 2-10High performance genomics data visualization
  • Track 2-11Drug-target disease networks
  • Track 2-12Networks and OMICS data
  • Track 2-13 Laboratory information management system
  • Track 2-14Computational biomodeling
Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry and pharmacology. Modern drug discovery involves the identification of Enzyme inhibitors in drug discovery, Strategies and challenges in drug discovery and Dynamics of structure based drug discovery, selectivity (to reduce the potential of side effects), efficacy/potency, metabolic stability (to increase the half-life), and oral bioavailability. Once a compound that fulfills all of these requirements has been identified, it will begin the process of drug development prior to clinical trials. One or more of these steps may, but not necessarily, involve computer-aided drug design. Cancer and drug discovery involves Multi target paradigm in drug discovery with unique Systems approach for drug discovery from herbal medicine. Discovering drugs that may be a commercial success, or a public health success, involves a complex interaction between investors, industry, academia, patent laws, regulatory exclusivity, marketing and the need to balance secrecy with communication. Meanwhile, for disorders whose rarity means that no large commercial success or public health effect can be expected, the orphan drug funding process ensures that people who experience those disorders can have some hope of pharmacotherapeutic advances like Anti-fungal drug discovery and In vitro method evaluation in drug discovery to name the major few. Drug Discovery research has the major growing market with applications in pharmaceuticals and medicine and thus major companies like Bristol-Myers Squibb Company, Isis Pharmaceuticals, Inc. , Merck & Co. Inc. and Johnson & Johnson focusing on the growing industry. Without a doubt it has become a primarily subject with increasing interest and thus more than 150 universities have come up with the curriculum; to be majorly mentioned as University of Bath, University of Dundee, University of Birmingham, The University of Edinburgh and Drexel University College of Medicine.
  • Track 3-1Enzyme inhibitors in drug discovery
  • Track 3-2 Anti-fungal drug discovery
  • Track 3-3 In vitro method evaluation in drug discovery
  • Track 3-4Strategies and challenges in drug discovery
  • Track 3-5 Systems approach for drug discovery from herbal medicine
  • Track 3-6 Dynamics of structure based drug discovery
  • Track 3-7Cancer and drug discovery
  • Track 3-8Multi target paradigm in drug discovery
Cell biology (formerly cytology, from the Greek kytos, "contain") is a branch of biology that studies cells – their physiological properties, their structure, the organelles they contain, interactions with their environment, their life cycle, division, death and cell function. This is done both on a microscopic and molecular level diversifying the field to Stem cell biology, Tumor cell biology, and Cell biology through proteomics importantly. Cell biology research encompasses both the great diversity of single-celled organisms like bacteria and protozoa, as well as the many specialized cells in multicellular organisms such as humans, plants, and sponges. The advancing Live cell imaging encompasses its applications to Biochips for cell biology, Single-cell ros imaging and Experimental models and clinical transplantation in cell biology and indeed many more. The National Science Foundation has come up with great funding opportunities for Cell Biology Research and major universities has concentrated on the study for Cell Biology has always been basis of study formerly, to name majorly Harvard University, Universities of Virginia, Yale School of Medicine and The University of Illinois. The Research has attracted funding grants from NIH too for its increasing interest among researchers.
  • Track 4-1Cell biology through proteomics
  • Track 4-2Stem cell biology
  • Track 4-3Live cell imaging
  • Track 4-4Biochips for cell biology
  • Track 4-5Regulation of muscle cell biology
  • Track 4-6Single-cell ros imaging
  • Track 4-7Experimental models and clinical transplantation in cell biology
  • Track 4-8Tumor cell biology
Tissue is a cellular organizational level intermediate between cells and a complete organ. Tissue engineering is the use of a combination of cells for Characterization of engineered tissues, engineering and materials methods to study the Advanced technologies in tissue assembly for New insights into regenerative tissue, and suitable biochemical and physicochemical factors to improve or replace biological functions. While it was once categorized as a sub-field of biomaterials, having grown in scope and importance it can be considered as a field in its own right. Major universities as of University of California San Francisco, University of Pennsylvania and Leigh University has come up with the research of Tissue Biology encouraging and attracting students round the globe for the same.
  • Track 5-1Advanced technologies in tissue assembly
  • Track 5-2Characterization of engineered tissues
  • Track 5-3Tissue expression and signaling to disease
  • Track 5-4Adipose tissue biology
  • Track 5-5Tissue engineering
  • Track 5-6New insights into regenerative tissue
  • Track 5-7Joint and cartilage biology
  • Track 5-8Tissue regeneration and diseases
Developmental biology is a great field for scientists who want to integrate different levels of biology. It talks majorly about Radical biology and medicine, Marine biology classifying species based on the environment rather than on taxonomy, also talking about the study of microbial and faunal activity and ecology in Soil biology and Theoretical biology encompassing the theoretical aspects of the emerging branch. Again National Science Foundation has bought its focus on Developmental Biology Branch too for funding and encouraging research. The Welcome Trust too supports the Four Year PhD programme with its funding to encourage the growing research interest in the field.
  • Track 6-1Radical biology and medicine
  • Track 6-2Marine biology
  • Track 6-3Soil biology
  • Track 6-4Theoretical biology
  • Track 7-1Cellular and Molecular Bio-Engineering
  • Track 7-2Organ bioengineering and regeneration
  • Track 7-3Cancer Bioengineering
  • Track 7-4Synthetic bioengineering
  • Track 7-5In vitro testing in bioengineering
Systems Toxicology is the integration of classical toxicology with quantitative analysis of large networks of molecular and functional changes occurring across multiple levels of biological organization. Society demands increasingly close scrutiny of the potential health risks associated with exposure to chemicals present in our everyday life, leading to an increasing need for more predictive and accurate risk-assessment approaches. Developing such approaches requires a detailed mechanistic understanding of the ways in which xenobiotic substances perturb biological systems and lead to adverse outcomes. Thus, Systems Toxicology approaches offer modern strategies for gaining such Investigatory findings by Infusion toxicology techniques and Computational toxicology. Furthermore, Systems Toxicology is a means for the identification and application of biomarkers for improved safety assessments by Pharmacology investigations in toxicology testing. In Systems Toxicology, quantitative systems-wide molecular changes in the context of an exposure are measured, and a causal chain of molecular events linking exposures with adverse outcomes (i.e., functional and apical end points) is deciphered. Mathematical models are then built to describe these processes in a quantitative manner. The integrated data analysis leads to the identification of how biological networks are perturbed by the exposure and enables the Developmental and reproductive toxicology processes. This perspective integrates current knowledge regarding bioanalytical approaches, computational analysis, and the potential for improved risk assessment. Many Companies have focused their products on Systems Toxicology Research like Mitsui Zosen Systems Research Inc., Alere US and Eurotox to name a few. The IBIS World provides a detailed Market Report of the growing Toxicology Market and thus the effectiveness of the research.
  • Track 8-1Computational toxicology
  • Track 8-2 Pharmacology investigations in toxicology testing
  • Track 8-3Infusion toxicology techniques
  • Track 8-4Investigatory findings
  • Track 8-5Developmental and reproductive toxicology
Ecology and Evolutionary Biology lies at the intersection of ecology and evolutionary biology. It approaches the study of ecology in a way that explicitly considers the evolutionary histories of species and the interactions between them. Conversely, it can be seen as an approach to the study of evolution that incorporates an understanding of Ethno biology and Conservation of Natural heritage. The main subfields of evolutionary ecology are life history evolution, Social ecology and sustainability, the evolution of interspecific relations (cooperation, predator-prey interactions, parasitism, Investigations of genetic load and mutualism) and Population Ecology and Ecosystem. Ecology and Evolution has been a prime concern for researchers and environmentalists for the growing environmental issues. Some of the major universities concentrating being Stanford University, The University of Arizona focusing specially on Population Ecology, University of Illinois, University of Michigan and The University of Kansan with indeed the number going upto 600.
  • Track 9-1Ethno biology and Conservation of Natural heritage
  • Track 9-2Study of nutritional ecology
  • Track 9-3Phylogenetic ecology
  • Track 9-4 Eco immunology
  • Track 9-5Nano materials in the field of Ecology
  • Track 9-6New Trends In Ecological Researches and Climate Change
  • Track 9-7Plant molecular Biology & Physiology
  • Track 9-8Plant ecology and biogeography
  • Track 9-9Biodiversity and genetic changes
  • Track 9-10Population Ecology and Ecosystem
  • Track 9-11Investigations of genetic load
  • Track 9-12Social ecology and sustainability
Systems biology is the study of Theoretical aspects of systems biology of biological components, which may be molecules, cells, organisms or entire species. Living systems are dynamic and complex and their behavior may be hard to predict from the properties of individual parts. It involves the computational (involving Insilico modeling in systems biology, Biomarker identification in systems biology) and mathematical modeling of complex biological systems. An emerging engineering approach applied to biomedical and biological scientific research, systems biology is a biology-based inter-disciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach (holism instead of the more traditional reductionism) to biological and biomedical research involving the use of In vitro regulatory models in systems biology using OMICS tools. Particularly from year 2000 onwards, the concept has been used widely in the biosciences in a variety of contexts. Many Funding Opportunities in this research has been bought up by Support ISB, National Science Foundation, NIH and many Collaborative Funding Opportunities.
  • Track 10-1Insilico modeling in systems biology
  • Track 10-2 Biomarker identification in systems biology
  • Track 10-3Cancer systems biology
  • Track 10-4Theoretical aspects of systems biology
  • Track 10-5In vitro regulatory models in systems biology
  • Track 10-6Systems biology and OMICS tools
  • Track 10-7Systems biology of vaccines