Call for Abstract

12thInternational Conference on Advancements in Bioinformatics and Drug Discovery, will be organized around the theme “Get into the interdisciplinary field with cutting-edge novelties ”

Bioinformatics Congress 2018 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Bioinformatics Congress 2018

Submit your abstract to any of the mentioned tracks.

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The structure of central dogma of molecular biology and innovation of classes of non-coding RNAs expose biological pathways concerned in disease. Study of posttranscriptional changes with vigour in both protein-coding and non-coding RNAs reveals a new complexity in gene regulation. Thus leading to 'Epitranscriptomics'. Organised with bioinformatics approaches and wet lab methodologies which support in the discovery of novel RNA modifications and description of their biological functions and identification of the molecular protagonists involved in the regulation of such phenomena which in turn provides a great impact in addressing the vulnerable questions and trials of this pioneering field.

  • Track 1-1RNA methylation
  • Track 1-2Psuedourylation
  • Track 1-3Gene Ontology
  • Track 1-4RNA editing
  • Track 1-5Identifying Novel Biochemical Pathways

This field is gaining importance in various research fields like Neural Networks, Artificial Intelligence for developing algorithms. It is used in developing bioinformatics software and tools for drug designing, molecular simulations, drug discovery, molecular modelling and numerous biological databases. Subfields related to this topic are computational immunology, computational pharmacology, computational neuroscience, computational cancer biology etc. Bioinformatics and computational biology are interconnected disciplines allowing computational methods to analyse biological data and develop algorithms and analytical methods by acquiring knowledge from various disciplines like computer science, physics, statistics etc.

  • Track 2-1Data mining and Machine Learning
  • Track 2-2Artificial Intelligence
  • Track 2-3Neural Networks

It aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. Systems Biology approach harnesses the power of computation and systems-level analyses to formulate and solve critical biological problems. This integrative approach of systems biology will close the loop from individual genetics to populations, and constitute the strongest asset for the successful translation of systems biology findings to clinical applications. Systems Biology deals with data and models at many different scales, from individual molecules through to whole organisms. 

  • Track 3-1Cancer Systems Biology
  • Track 3-2Systems theory for complex dynamical systems
  • Track 3-3Genetics

Theoretical Biology & Bioinformatics practices computational methods to report biological questions within their own biological focus area. It covers a range of biological areas, including immunology, evolutionary genomics, evolutionary development, bacterial evolution, and multi-level evolution. Some use bioinformatics, whereas others use modeling and quantitative biology, or evolutionary agent based modeling. Bioinformatics is obviously needed for the storage and primary analysis of these huge volumes of biomolecular data. 

  • Track 4-1Evolutionary Genomics
  • Track 4-2Integrative Bioinformatics
  • Track 4-3Sequencing, Protein sequence and structure analysis
  • Track 4-4Phylogeny and comparative genomics

The Pan Genome considers the aspects of the “core genome” which represents in all the strains, “dispensable genome” also present in two or more strains and “unique genome” specified to single strains. The importance of the pan-genome turns up in an evolutionary framework, especially with relevance to Metagenomics, but is also used in an extensive genomics framework.  The two types of Pan Genomes are Closed Pan Genome which has insufficient genes added per additional sequenced genome whereas Open pan Genome have sufficient genes added per additional sequenced genome. 


  • Track 5-1Evolutionary Biology
  • Track 5-2Genomics
  • Track 5-3Phylogenetic

It is a large-scale comprehensive study of a specific proteome, including information on protein affluence, their variations and alterations, along with their interacting partners and networks, in order to discern cellular processes. Proteomics enables the understanding the structure, function and interactions of the entire protein content in a specific organism. Bioinformatics tools for proteomics have diverse applications ranging from simple tools to compare protein amino acid compositions to refined software for massive protein structure determination.    

  • Track 6-1Clinical proteomics
  • Track 6-2Proteome informatics
  • Track 6-3Proteogenomics
  • Track 6-4Protein chip analysis

Biodiversity informatics though diverse but interrelated to Bioinformatics. It is a new discipline with hundreds of experts worldwide involved with the design and edifice of biology information system. Biodiversity informatics may also have to manage with supervision information from unidentified taxa that is produced by environmental sampling and sequencing of mixed-field samples. It is made on the basis of taxonomic, biogeographic and ecological information stockpiled in digital form using current computer techniques to yield novel ways to view and evaluate existing information. 

  • Track 7-1Systematic and Evolutionary Biology
  • Track 7-2Tools for Data Integration
  • Track 7-3Approaches to Mapping Biodiversity

Genomics includes the study of genomes, particularly the set of techniques, analytical methods, and scientific questions related to the study of complete genomes. Genome sequencing is expected to have the most impact in characterizing and diagnosing genetic diseases; for appropriate treatment; and providing information about an individual’s likely response to treatment to reduce adverse drug reactions. Genomics and bioinformatics are now poised to revolutionize the healthcare system by developing customized and personalized medicine.

  • Track 8-1Functional & comparative genomics
  • Track 8-2Clinical & medical genomics
  • Track 8-3Computational genomics

The computationally predicted DNA secondary structure maps could serve as a roadmap for experimentalists to target specific genomic regions while testing their hypotheses. The project will require both development of bioinformatics algorithms and experimental techniques to facilitate progress in this field. Thus, computational prediction remains the major tool to reveal genomic DNA regions with the potential to adopt non-B DNA structures. 

  • Track 9-1Ribozymes
  • Track 9-2RNA world
  • Track 9-3Non-B DNA
  • Track 9-4DNA secondary structures

Biomedical informatics (BMI) is the interdisciplinary, scientific arena that educates and follows the effective customs of biomedical data, information, and information for precise survey, problem elucidating and resolution constructing, motivated by exertions to progress social health. Healthcare Informatics is the application of information technology and informatics to provide healthcare services. It is concerned with the use of information in health care by clinicians. The analytical capability of bioinformatics podium united with clinical data from patient in Electronic Medical Reports can affirm potential biomarkers and clinical phenotypes that allow researchers to develop experimental strategies using selected patient.

  • Track 10-1Biomarkers
  • Track 10-2Biomedicine
  • Track 10-3Medical Informatics
  • Track 10-4Sensor Informatics

Structural bioinformatics is a sub discipline of bioinformatics that deals with the three dimensional structures of biomolecules. This field portrays the goals to create methods for manipulating information about biological macromolecules and the application of these methods to solve problems in biology and creating new knowledge. Evolutionary Bioinformatics is an advanced discipline that addresses the practice of data processing and the engineering of data for the investigation of biological evolution. The study of evolutionary biology uncovers that living beings of different types which were previously oblivious originated over the span of numerous eras mostly through moderate and progressive alterations.

  • Track 11-1Evolution, taxonomy and systematics
  • Track 11-2Population genetics
  • Track 11-3Protein structure and function prediction
  • Track 11-4RNA structure and function

Moonlight acts as transcription factors, crystallins, chaperones, extracellular growth factors and cell surface adhesins. Variability of identified moonlight proteins where one protein will have several functions, the potential profits to the organism of linking two utilities in one protein, and the approaches recommended for a protein to develop a second function recommend that moonlighting proteins might be common. The research topics include many aspects of moonlighting proteins for examples proteins to moonlight, structures of moonlighting proteins, their protagonists in diseases, how they evolved, moonlighting proteins and proteomics, bioinformatics of moonlighting proteins, etc.

  • Track 12-1Novel Mechanisms of Protein Function
  • Track 12-2Predicting Protein Functions
  • Track 12-3Cytosolic enzymes

Web assistance in bioinformatics provides interfaces that have been developed for an ample array of applications for bioinformatics. The main enhancement derived from the fact that end users do not have to deal with software and database preservation overheads. There are differing software predominant for bioinformatics like open-source, sequence alignment, healthcare, freeware molecular graphics systems, biomedical and molecular mechanics modelling.

  • Track 13-1Web services in bioinformatics
  • Track 13-2Bioinformatics tools & software
  • Track 13-3Biological databases

Immunology involves the development and application of methods of bioinformatics, mathematics and statistics for the study of immune system biology. The modern drug discovery process integrates the understanding of the molecular basis for a disease with crucial understanding of how potential drug molecules interact with particular disease targets and the whole organism. Bioinformatics is a growing field which can explore the causes of diseases at the molecular level, explain the occurrence of the diseases from the genetic angle and make use of computer techniques to diminish the scope of study and enhance the efficiency of the results.

  • Track 14-1Innovative methods and techniques in immunology
  • Track 14-2Immune cells & proteins
  • Track 14-3Clinical biomarkers

Biomedical Imaging is a long tactic to visualize biological tissues to improve health of the individual. It includes the development and presentation of new instruments and techniques in magnetic resonance imaging, ultrasound, computed tomography, positron emission tomography and optical imaging. It practices much more complex algorithms. The range of Bioinformatics extents the study of molecular data to quantify clinical, imaging and diagnostic data for custom-built medicine and healthcare. With rapid developments in gene therapy, genetic engineering, gene editing and drug discovery, the field of Bioinformatics provides a varied range of opportunities and career paths for engineers. 

  • Track 15-1Independent Component analysis
  • Track 15-2Neural networks
  • Track 15-3Imaging Informatics
  • Track 15-4Bioengineering Approaches

The field of biostatistics to bioinformatics furnish quantitative answers to complicated questions from complicated data. The dominant objective of this conference is to conceive a medium for statisticians from across the world to present their latest study, discovery in statistical applications which can prompt novel research projects and directions as well as improve statistical programs. Specialized and technical methods have been made and are currently advancing in the fields of biostatistics and bioinformatics as a mutual resource to exhibit them with a wide range of favourable applications in genetics, genomics, and biomedical areas.

  • Track 16-1Computational statistics
  • Track 16-2Bayesian methods
  • Track 16-3Statistical genetics
  • Track 16-4Medical statistics and informatics

Case reports provide detailed information of the symptoms, diagnosis, signs, treatment, and effect of an individual patient. It contains a demographic report of the patient, but usually portrays an unusual or new instance. A favourable case report gives a clear perception about the gravity of the observation being reported. Clinical case reports are compelling source of evidence in the field of medicine and is aimed to improve global health and concise about a common or critical clinical scenario and develop a broader search for evidence. 

  • Track 17-1Alzheimer case reports
  • Track 17-2Cancer case reports
  • Track 17-3Cystic fibrosis case reports