Clyto Online Publishing | Conference | Global Bioinformatics Conference

Welcome to Global Bioinformatics Conference

The “International Conference on Bioinformatics” is presented and organized by Clyto Access from 11th -13th September 2017 in USA the conference/summit is intended to provide an international platform for the exchange of knowledge and discussions on various upcoming as well as present focuses on Bioinformatics. Bioinformatics is the application of information technology to organize and understand the data which is associated with these molecules on large scale basis. Bioinformatics utilizes computer to collect data, analyse, integrate and store the molecular add biological data, which is then utilized in application such as drug development and discovery. The technology and services are the two important segments of this market. This technology has two types of tools knowledge management tools and bioinformatics platform. As per the recent research the bioinformatics technology management tools are of highest demand as well as they hold highest revenue in the market.
Currently, various platforms, tools, and services are commercially available to process the data obtained from research and development activities efficiently using bioinformatics. In 2013, bioinformatics platforms segment accounted for the largest share in the global bioinformatics market. This growth is mainly due to increasing research and development activities coupled with increasing use of bioinformatics in drug discovery. Further, bioinformatics has application in preventive medicine, molecular medicine, gene therapy, drug development and others. Other application areas include forensic analysis of microbes, genetic research for antibiotic resistance, and veterinary science. The International Conference on Bioinformatics aims to bridge the various disciplines including computational, mathematical, statistical, and biological science. The Bioinformatics conference will include plenary talks from the world's most renowned scientists and engineers which will give a better exposure on the trending fields of bioinformatics, hence Clyto Access is inviting industries/companies related to software, hardware, equipment, materials and services in the field of Bioinformatics. This conference gives a wonderful opportunity to deliver the speech and spread knowledge on a wide spread area among-st people across the globe. This conference includes Seminars Exemplary Sessions, Workshops etc.
Open Panel Discussions: According to the theme of the conference “Evolution and elevation of Bioinformatics” the open panel discussion will explore the various fields of Bioinformatics such as Computational Biology, Bio statistics, Genomics, Proteomics and much more. This conference gives a wonderful opportunity to deliver the speech and spread knowledge on a wide spread area among-st people across the globe The open panel discussion includes an opportunity to share your views on current challenges and the future scopes in Bioinformatics                 
Presentations: The keynote speakers and the speakers from all over the world will present their valuable work and share their experiences. The presentations will be nominated for “Best young researcher” award. The industry experts chairing the sessions will decide the awardee based upon certain criterion. The students involved in the research can present their posters. The best poster will be awarded with “Best Poster “award. The scientific program will give you brief details of the presentations invited for speech. All of our presentation sessions are versatile and covering most of the key areas of the field.
If you are interested in any kind of presentation at the conference, please submit your abstract for review as soon as possible. You can submit your abstract online under the heading submit abstract on conference page. For instant submission – Click here. 
Meetings: The meetings encompass editorial board meetings and panel meetings for the concerned journal and the round table meetings for interaction among Delegates, Speakers and Keynote speakers.
Deadline for abstract submission (Round- 1): 05th April 2017 
Early Bird Registration ends on: 15 March 2017.
You can also email us at: for abstract submission.
Market Analysis: Bioinformatics Market was valued at $3.4 billion, and is expected to reach $12.8 billion by 2020, supported by a CAGR of 21.2%. Growing demand for nucleic acid and protein sequencing, increasing initiatives from government and private organizations, growing application of bioinformatics, and improved collaborative ties between companies and research institutes are the major factors driving the growth of the bioinformatics market. On the other hand, lack of well-defined standards and common data formats for integration of data, shortage of skilled bioinformatics professionals, and lack of adequate user-friendly tools are the major factors restraining the growth of this market. The bioinformatics market is segmented on the basis of sector, products and services, application, and region. Based on sector, the bioinformatics market is categorized into medical biotechnology, academics, animal biotechnology, agricultural technology, environmental biotechnology, forensic biotechnology, and other sectors in 2016; the medical biotechnology segment is expected to account for the largest share of the bioinformatics market. This is attributed to the increasing use of bioinformatics in drug discovery and development processes for the faster development of safe and effective drugs at reduced costs. On the basis of products and services, the bioinformatics market is categorized into knowledge management tools, bioinformatics platforms, and bioinformatics services. The knowledge management tools segment is expected to account for the largest market share in 2016. However, the bioinformatics platforms segment is expected to grow at the highest CAGR during the forecast period; high growth in this segment can be attributed to the advantages of bioinformatics platforms, such as reduction in overall time for processing data, phylogenetic analysis, and identification of sequence similarity. Based on application, the market is segmented into genomics, chemo informatics & drug design, proteomics, transcriptomics, metabolomics, molecular phylogenetic and other applications. The genomics segment is expected to account for the largest market share in 2016. The increasing use of pharmacogenomics is a major factor contributing to the growth of this segment.
On behalf of Bioinformatics– 2017 Clyto Access cordially invites you to be a part of this extensive global event scheduled in September 2017. 
We look forward to see you all in the conference!




Bioinformatics is an interdisciplinary research area at the interface between computer science and biological science. A variety of definitions exist in the literature and on the World Wide Web; some are more inclusive than others. Here, we adopt the definition proposed by Luscombe et al. in defining bioinformatics as a union of biology and informatics: bioinformatics involves the technology that uses computers for storage, retrieval, manipulation, and distribution of information related to biological macromolecules such as DNA, RNA, and proteins.

Track 1-1: Structural Informatics

Track 1-2: Molecular Informatics

Track 1-3: Agricultural Informatics

Track 1-4: Medical Informatics

Genomics describes the development of genome-scale technologies and their application to all areas of biological investigation. Genomics focuses on the development and application of cutting-edge methods, addressing fundamental questions with potential interest to a wide audience. 

Track 2-1: Future of Genomics

Track 2-2: Cancer Genomics

Track 2-3: Genotype analysis

Track 2-4: Genome annotation

The term "proteome" refers to the entire complement of proteins, which includes the modifications made to a particular set of proteins, produced by an organism or a cellular system. It varies along with the time and dissimilar factors, such as stresses, that a cell or organism undergoes. The term "proteomics" is a large-scale comprehensive study of a specific proteome, including information on protein abundances, their variations and modifications, along with their interacting partners and networks, in order to understand cellular processes. 

Track 3-1: Emerging Trends in Proteomics

Track 3-2: Protein-Protein Interactions

Track 3-3: Protein structure finding

Track 3-4: Protein structure finding

The computational biology refers to the analysis and interpretation of data. It mainly includes the following: 
•Development and implementation of tools that enable efficient access to, and use and, management of various types of data
•The development of new algorithm and statistics with which to access relationship among members of large data sets, such as methods to locate a gene within a sequence, predict protein structure or function.

Track 4-1: Open software development

Track 4-2: Computational Mathematics

Track 4-3: Computational biomodeling

Track 4-4: Computational pharmacology

Track 4-5: Computational neuroscience

Biostatistics includes the study of statistics as applied to biological areas. Biological laboratory experiments, medical research, and health services research all use statistical methods. Many other biological disciplines rely on statistical methodology helps evaluate many life-and-death issues in medicine

Track 5-1: Design and analysis of clinical trials in medicine

Track 5-2: Role of biostatistics in data management

Track 5-3: Statistical genetics

Track 5-4: Descriptive Statistics

 Metabolomics is a field of life science research that uses High Throughput technologies to identify and/or characterize all the small molecules or metabolites in a given cell, tissue or organism.

Track 6-1: Computer aided metabolic pathways

Track 6.2: Metabolomics

 Algorithm is a step by step description of operations to be performed. The biological entities and phenomena considered in bioinformatics can be described with combinatorial and graph theoretical objects like sequences, alignments, trees, networks, etc

Track 7-1: Principle of dynamic modelling

Track 7-2: Sequence alignment

Track 7-3: Sorting Techniques

Track 7-4: Transformational grammars secondary structure prediction

Track 7-5: Graphical degree sequences

A particular active area of research in bioinformatics is the application and development of data mining techniques to solve biological problems. Analysing large biological data sets requires making sense of the data by inferring structure or generalizations from the data. Examples of this type of analysis include protein structure prediction, gene classification, cancer classification based on microarray data, clustering of gene expression data, statistical modelling of protein-protein interaction, etc.

Track 8-1: Data mining concepts and techniques

Track 8-2: Advancement in data mining tools

Track 8-3: Cluster analysis

Track 8-4: Modelling biological systems

The processes of designing a new drug by using bioinformatics tools have opened a new area of drug research and development. Computational techniques assist us in searching drug target and in designing drug in silico. Bioinformatics affects a new drug design in the following drug design path.

Track 9-1: Capabilities of translational medicine to increase success rate in pharma industry

Track 9-2: In silico drug design

Track 9-3: Advance methodologies used in drug design

The geographical scattered research centres all around the globe ranging from private to academic settings and a range of hardware and OSs are used in Bioinformatics 

Track 10-1: Java in bioinformatics

Track 10-2: Use of Linux, Python, Perl, SQL in Bioinformatics

Track 10-3: Advancements in programming tools

Medical Informatics also known as Health Informatics is a field comprising information science computer science and health care, which is most popular in clinical research used for the storage of data

Track 11-1: Evidence based medicine

Track 11-2: Role of informatics in analysing rare and undiagnosed disease

Track 11-3: Population health management

Track 11-4: Translational Bioinformatics

Track 11-5: Current state of health informatics and policy initiatives

Track 11-6: Medical Informatics in Clinical research

Phylogenetic reconstruction is an attempt to discern the ancestral relationship of a set of sequences. It involves the construction of a tree, where the nodes indicate separate evolutionary paths, and the lengths of the branches give an estimate of how distantly related the sequences represented by those branches are.
Genes from different species may not have the same phylogenetic history as the species from which those sequences are taken have (although they do, obviously, have the same evolutionary history).

Track 12-1: Ancestry Prediction

Track 12-2: Molecular Phylogenetic

Track 12-3: Data visualization

The primary goal of bioinformatics is to increase the understanding of biological processes hence the applications are mainly focused on biological processes.

Track 13-1: Integrated Bioinformatics

Track 13-2: Climate change studies

Track 13-3: Forensic informatics

Track 13-4: Gene therapy

Track 13-5: Comparative studies

Track 13-6: Personalised medicine

Track 13-7: Modelling biological system

Bioinformatics is a never ending branch of biology with huge range of research opportunities

Track 14-1: Chemo informatics

Track 14-2: Role of Bioinformatics in Immunology

Programs Programs Detail Time


8:00 AM


09:00 AM


09:30 AM


10:30 AM


11:00 AM


12:30 PM


01:30 PM


03:30 PM


06:00 PM





Reach Us at

Clyto Access (USA)
  • 600 West Broadway Suite 700
  • San Diego CA 92101 | USA
  • Phone: 1-619-471-1648

Clyto Access (India)
  • Novel Business Center
  • 10 BTM Layout 1 | Bengaluru,
  • Karnataka 560068 | India
  • Phone: 91-080-41474547
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright © Clytoaccess 2017