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Computational Biology 2019

About Conference

About Conference:

2nd International Conference on Computational Biology and Bioinformatics is going to be held during May 17-18, 2019 in Singapore. The conference focuses on foremost topics such as Structural & Evolutionary Bioinformatics, Computational methods, Systems Biology, Computational Genomics, Immunology and Drug Discovery, Bioinformatics Algorithms & Databases, Biomedical & Health Informatics, Biodiversity informatics, Computational pharmacology, Genetics and epigenetics, Computational neuroscience, Computational chemistry and Chemical biology, Next generation sequencing, Metabolomics, Biostatistics, and Clinical Case Reports

Conference Series LLC Ltd organizes 1000+ Global events. Every Year across USA, Europe & Asia with support from more than 1000 scientific societies and publishes over 700 Open access journals which involves more than 100000 eminent personalities, distinguished researchers as editorial board and organizing committee members. Conference Series LLC Ltd is authorized by the International Congress and Convention Association. World Congress & International conference as momentously captivated by Nobel Laureate, Global Symposiums and Workshops, Exhibitions, Keynote gatherings and Delegates. Conference Series LLC Ltd warmly invites all the participants to this conference.

Target audience:

Scientists

Research Scholars

Professors

Lecturers

Dean and Directors

Graduates and Undergraduates

Pharmaceutical Industries

Healthcare Sectors

Directors of Association and Society

Experts and Delegates

Doctors

Research Institutes

Industrial Business Entrepreneurs

Why to attend????

This is the best opportunity to reach the largest cluster of participants from all over the world and it’s a best platform to develop new partnership and collaborations with Bioinformatics industries and healthcare industries. Members from around the world focused on learning about Computational Biology and Bioinformatics and recent innovative researches going on in Structural & Evolutionary Bioinformatics, Computational Genomics, Computational pharmacology, Computational neuroscience, Computational chemistry and Chemical biology. This is the only place where new comers in the field of research can grab bulk knowledge from world-renowned speakers and receive name recognition in 2-day event. World-renowned speakers, doctors, scientists, recent innovations, developments and newest updates in the field of Computational Biology and Bioinformatics are hallmarks of this conference.

Scientific Sessions

Scientific Sessions:

  • Computational biology and bioinformatics
  • Computational Genomics
  • Computational neuroscience
  • Computational chemistry and Chemical biology
  • Next generation sequencing
  • Metabolomics and Systems Biology
  • Molecular biology and structural biology
  • Genetics and epigenetics
  • Computational pharmacology
  • Immunology and drug discovery
  • Biostatistics
  • Structural & Evolutionary Bioinformatics
  • Biodiversity informatics
  • Biomedical & Health Informatics
  • Bioinformatics Algorithms & Databases
  • Clinical case reports

Track 1. Computational biology and bioinformatics

Computational biology and Bioinformatics   are interrelated 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. This field is gaining importance in various research fields like Neural Networks, data mining, machine learning and Artificial Intelligence for developing algorithms. It is used in developing bioinformatics software and tools for drug designing, molecular simulations, drug discovery, molecular modeling and several biological databases. Subfields related to this topic are computational immunology, computational pharmacology, computational neuroscience, computational cancer biology, Computational chemistry and Chemical biology etc.  

Track 2. Computational Genomics

Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data. These, in combination with computational and statistical approaches to understanding the function of the genes and statistical association analysis, this field is also often referred to as Computational and Statistical Genetics/genomics. As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes to understand the principles of how the DNA of a species manages its biology at the molecular level and beyond.

Track 3. Computational neuroscience

Computational neuroscience is a branch of neuroscience which employs mathematical          models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure and cognitive abilities of the nervous system. Computational neuroscience focuses on the description of biologically plausible neurons and their physiology and dynamics, and it is therefore not concerned with biologically unrealistic disciplines such as connectionism, machine learning, neural networks, artificial intelligence and computational learning theory.

 Track 4. Computational chemistry and Chemical biology

Computational chemistry is a branch of chemistry that uses computer simulation to aid in solving chemical problems. Computational chemistry uses methods of theoretical chemistry, incorporated into efficient computer programs, to calculate the structures and properties of molecules and solids. It is also used to study the fundamental properties of atoms, molecules, and chemical reactions, using quantum mechanics and thermodynamics. Chemical Biology research practices the tools of chemistry and synthesis to understand biology and disease pathways at the molecular level. Advanced biological chemistry interests include various topics such as nucleic acids, DNA repair, bioconjugate chemistry, electron transport, peptides and peptidomimetics, glycoscience, biochemical energy, vitamins, coenzymes, biomolecular structure and function, drug activity, imaging, and biological catalysis.

Track 5. Next generation sequencing

Next generation sequencing (NGS), is any of several high-throughput approaches to DNA sequencing using the concept of massively parallel processing; it is also called Massive parallel sequencing. Next generation sequencing is an Application of genetic sequencing which is used to identify the populations at high risk or target therapies to patients those who are likely to respond. The Next generation sequencing (NGS) market assessment was made based on products, technologies, end users, applications and geography.

Track 6. Metabolomics and Systems Biology

Metabolomics refers to the systematic identification and quantification of the small molecule metabolic products of a biological system (cell, tissue, organ, biological fluid, or organism) at a specific point in time. Mass spectrometry and NMR spectroscopy are the two techniques most often used for metabolome profiling.Systems biology refers to the computational and mathematical modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological systems, using a holistic approach to biological research.

Track 7. Molecular biology and structural biology

Molecular biology is a branch of biology that concerns the molecular basis of biological activity between biomolecules in the different systems of a cell, including the interactions between DNA, RNA, proteins and their biosynthesis.Structural biology refers to the study of molecular structure and dynamics of biological macro-molecules like proteins and nucleic acids, and how changes in their structures affect their function. Structural biology is a branch of molecular biology, biochemistry, and biophysics anxious with the molecular structure of biological macromolecule.

Track 8. Genetics and epigenetics

Genetics refers to the study of genes, genetic variation, and heredity in living organisms. It is mainly considered a field of biology but intersects frequently with many other life sciences and is strongly linked with the study of information systems.Epigenetics refers to the study of effect on gene activity and expression by chromosomal changes and also heritable phenotypic change that doesn’t come from modification of a genome.

Track 9. Computational pharmacology

Computational pharmacology is a sub branch of computational biology where the effects of genomic data is studied inorder to find links between genotypes and diseases and then screening of drug data. There are several data sets available and researchers and scientists are developing computational methods to analyze these data sets. Computational pharmacology tries to bridge the gap between strcture and function via dynamics.

Track 10. Immunology and drug discovery

Immunology is a branch of biology which covers the study of immune systems in all organisms. It involves the development and application of methods of bioinformatics, mathematics and statistics for the study of immune system biology.Drug discovery is the process through which potential new drugs are identified. Drug discovery involves a wide range of scientific disciplines, including biology, chemistry and pharmacology. The advanced drug discovery process integrates the understanding of the molecular basis for a disease with crucial understanding of how potential drug molecules interact with disease targets and the whole organism.

Track 11. Biostatistics

Biostatistics is a field of applied statistics and deals with developing and applying techniques to summarize and evaluate medical and biological data. The branch of biostatistics to bioinformatics furnish quantitative answers to complicated questions from complicated data. The 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 12. Structural & Evolutionary Bioinformatics

Structural bioinformatics is the branch of bioinformatics that deals with the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. Structural bioinformatics deals with generalizations about macromolecular 3D structure such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, and binding interactions, and structure/function relationships. Evolutionary Bioinformatics is an advanced field that addresses the practice of data processing and the engineering of data for the investigation of biological evolution.

Track 13. Biodiversity informatics

Biodiversity Informatics is the application of informatics techniques to biodiversity information for improved management, presentation, discovery, exploration, analysis. Biodiversity Informatics typically builds on a foundation of taxonomic, biogeographic, or ecological information stored in digital form, which, with the application of modern computer techniques, can yield new ways to view and analyse existing information. Biodiversity informatics is a relatively young discipline but has hundreds of practitioners worldwide, including the numerous individuals involved with the design and construction of taxonomic databases. The word "Biodiversity Informatics" is generally used in the broad sense to apply to computerized handling of any biodiversity information; the somewhat broader term "bioinformatics" is often used synonymously with the computerized handling of data in the specialized area of molecular biology.

Track 14. Biomedical & Health Informatics

Biomedical and health informatics applies fundamental of computer and information science to the advancement of life sciences research, health professions education, public health, and patient care. This multidisciplinary and integrative branch focuses on health information technologies (HIT), and involves the computer, cognitive, and social sciences. Informatics is the science of how to use data, information and knowledge to improve human health and the delivery of health care services.

Track 15. Bioinformatics Algorithms & Databases

Practically about 600 bioinformatics tools were advanced over the past two years and are being used to facilitate data analysis and its interpretation. 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 modeling. In more recent advances, the equivalent of an industrial revolution for ontology was pronounced by the apparition of latest technologies representing bio-ontologies.

Track 16. Clinical case reports

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. 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. Case report aids in the identification of advanced trends or diseases and discover new drug, its side effects and potential usage. It even analyzes limited manifestations of a disease. Case reports play a significant role in medical discipline thereby administering a structure for case-based training.

Market Analysis

Market Analysis

Market Research Report: Bioinformatics

Summary of the Conference:

2nd International Conference on Computational Biology and Bioinformatics is going to be held during May 17-18, 2019 in Singapore. The conference focuses on foremost topics such as Structural & Evolutionary Bioinformatics, Computational methods, Systems Biology, Computational Genomics, Immunology and Drug Discovery, Bioinformatics Algorithms & Databases, Biomedical & Health Informatics, Biodiversity informatics, Computational pharmacology, Genetics and epigenetics, Computational neuroscience, Computational chemistry and Chemical biology, Next generation sequencing, Metabolomics, Biostatistics, and Clinical Case Reports. The past International conferences on Computational Biology and Bioinformatics concentrated on diverse areas related to Computational Biology, Bioinformatics and their wide applications which have engaged protruding speakers which comprises of elevated scientists from finest International Universities and experts from noted associations.

The conference aims to give a raised floor to scientists, academics and additionally modern expert to share and grasp any ideas for future viewpoints. This conference will highlight these most recent issues and innovative works. It focuses on speakers who hold high profiles i.e. dignified personalities in the field of Computational Biology, Bioinformatics and other medical scientists. Individuals from scientific community are more bent towards Bioinformatics. This gathering advance transposing learning among colleagues and helps the rising patterns with new development in the enormous field of Computational Biology and Bioinformatics.

Scope and Importance of Computational Biology and Bioinformatics Research:

Computational Biology and Bioinformatics uses advances in the area of computer science, information science, computer and information technology, communication technology to solve complex problems in life. Data capture, data warehousing and data mining have become major issues for biotechnologists and biological scientists due to sudden growth in quantitative data in biology such as complete genomes of biological species including human genome, protein sequences, protein 3-D structures, metabolic pathways databases, cell line & hybridoma information, biodiversity related information. Advancements in information technology, particularly the Internet, are being used to gather and access ever-increasing biological information. Functional genomics, proteomics, discovery of new drugs and vaccines, molecular diagnostic kits and pharmacogenomics are some of the areas in which bioinformatics has become an integral part of Research & Development. The knowledge of multimedia databases, tools to carry out data analysis and molecular modeling and biological systems on computer workstations as well as in a network environment has become essential for any Computational Biology and Bioinformatics student. Bioinformatics, the multidisciplinary area, has grown so much that one divides it into molecular bioinformatics, organal bioinformatics and species bioinformatics. The importance and usefulness of Bioinformatics is realized in last few years by many industries. Computational Biology has a wide range of usage in Biotechnology and Pharmaceuticals. Therefore, large Bioinformatics R & D divisions are being established in many pharmaceutical companies, biotechnology companies and even in other conventional industry dealing with biology. This field is thus rated as number one career in the field of biosciences.

Members Associated with Computational Biology and Bioinformatics Research:

Individuals associated with Computational Biology and Bioinformatics Research are centre for computational biology, Duke-NUS Medical school, Bioinformatics Organizations, Bioinformatics Research Centres, Riken Quantitative Biology Centre, Department of Computational Biology and Medical Sciences, Univeristy of Tokyo, NARA Institute, Computational Biology Institute, Bioinformatics Institutes, Computational Biology and Bioinformatics Associations, Computational Biology and Bioinformatics Companies, Bioinformatics Research Laboratories, Computational Biology and Bioinformatics Research, Bioinformatics Societies and Services, Bioinformatics innovation Providers, Bioinformatics Databases and Software engineers, Biomedical and Biopharmaceutical Industries for Medicine Research. The Members who are connected with Computational Biology and Bioinformatics research includes Societies, Universities, Associations, Institutes and other Research Organizations.

Societies Associated with Computational Biology and Bioinformatics Research:

Computational Biology and Bioinformatics societies around the world are serving needs, research funds and education to develop and progress the Computational Biology and Bioinformatics sector.

   Societies in Singapore:

  • The Association of Asian Societies for Bioinformatics (AASBi)
  • Bioinformatics Institute
  • Genome Institute of Singapore

Societies in France:

  • Association des Jeunes Bioinformaticiens de France
  • Académie des sciences
  • Société Française de Biochimie et Biologie Moléculaire (SFBBM)
  • The Society for Immunotherapy of Cancer
  • French Association for the Applications of Medical Informatics
  • The French National Research Agency

Societies in Japan:

  • Protein science society of Japan
  • Japanese society for Bioinformatics
  • The Japanese society of Microscopy

Societies in Europe:

  • French Society of Theoretical Biology
  • EMBL - European Bioinformatics Institute
  • European Society for Medical Oncology
  • Hellenic Society for Computational Biology and Bioinformatics
  • European Proteomics Association
  • Israeli Society for Bioinformatics and Computational Biology
  • Helmholtz Network for Bioinformatics
  • Dutch Society for Theoretical Biology
  • Bioinformatics Italian Society (B.I.T.S.)
  • EMBnet - European Molecular Biology Network
  • German Informatics Society
  • Netherlands Bioinformatics Center
  • Polish Bioinformatics Society (PBIS)
  • Society for Bioinformatics in the Nordic Countries

Societies in USA:

  • International Society for Computational Biology (ISCB)
  • International Society for Clinical Biostatistics (ISCB)
  • San Diego Bioinformatics Forum
  • Great Lakes Bioinformatics Consortium
  • Mid-South Computational Biology and Bioinformatics Society (MCBIOS)
  • Bioinformatics Organization
  • Bioinformatics and Bioengineering Technical Committee (BBTC)
  • Boston Area Molecular Biology Computer Types (BAMBCT)
  • Great Lakes Bioinformatics Consortium (GLBC)
  • Ohio Bioinformatics Consortium
  • Vancouver Bioinformatics User Group

Industries Associated with Computational Biology and Bioinformatics Research:

The Major Industries or Companies and laboratories associated with Computational Biology and Bioinformatics are listed below,

A.By City - Some of the major companies in Paris.

Biomanda, France Biotech, Ariana Pharma, Certara, Hybrigenics, AB Science, Abivax, Eligo Bioscience, OSE Immunotherapeutics, Vaxon Biotech

B. By Country – Some of the major companies in France.

Acino, Galderma, Daiichi Sankyo, Stallergenes Greer, CleanCells, Genethon, Antabio, Octapharma, Valneva, Certara, Pfizer, Cerep, Smartox Biotechnology

C. Europe & USA:

Progenus, Caprion Proteomics inc, Euformatics, Biomax Informatics AG, Illumina, Rosetta Biosoftware, Integromics, Ariadne Genomics

D. Global:

Rapture Biotech, BioCOS, Clontech Laboratories, Center for Bio Informatics Research Institute (CBRI), Biomed Informatics, Accelrys, Inc., Affymetrix, Inc., Agilent technologies, Inc., Genevabioinformatics, Nonlinear dynamics, Quest Diagnostics, Inc., Life Technologies corp., Illumina, Bruker Daltonics, inc., and Biomax informatics AG

Universities Associated with Computational Biology and Bioinformatics Research:

In City-singapore

Duke-NUS Medical school, Bioinformatics institute, Nanyang Technological University, genome institute of singapore

In Worldwide:

University of Tokyo, Waseda University, Keio University, Meiji university, Tohoku University, NARA Institute of Science and Technology,European university Switzerland, Vilnius university, Uppsala University, Universita degli study di Torino, Maastricht University, Graz University of Technology, Harvard University, Swiss Institute of Bioinformatics, University of Oxford, Stanford University, University of Cambridge.

Market Value on Computational Biology and Bioinformatics Research:

According to Bcc report, it is estimated that the global bioinformatics market was valued at nearly $2.8 billion in 2011, nearly $3.2 billion in 2012, and is forecast to grow to nearly $7.5 billion by 2017 after increasing at a compound annual growth rate (CAGR) of 18.7%. The bioinformatics market is projected to reach USD 16.18 Billion by 2021 from USD 6.21 Billion in 2016, growing at a CAGR of 21.1% during the forecast period according to Markets and Markets report. As per the Allied Market Research, the global Bioinformatics market was valued at $3.4 billion in 2013, and it is expected to reach $12.8 billion by 2020. The market is expected to grow at a CAGR of 21.2% during 2014-2020. Major contributing factors for this growth are increasing application of drug discovery and development using bioinformatics tools, which proves to be cost and time efficient for the pharmaceutical companies The Global Computational Biology Market is poised to grow at a CAGR of around 21.7% over the next decade to reach approximately $11.43 billion by 2025. This industry report analyzes the market estimates and forecasts of all the given segments on global as well as regional levels presented in the research scope. The study provides historical market data for 2014, 2015 revenue estimations are presented for 2016 and forecasts from 2017 till 2025. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies. With comprehensive market assessment across the major geographies such as North America, Europe, Asia Pacific, Middle East, Latin America and Rest of the world the report is a valuable asset for the existing players, new entrants and the future investors. European market will grow from nearly $1.1 billion in 2015 to $1.7 billion in 2019 at a CAGR of 12.0% for the period 2014-2019.

Market Growth of Bioinformatics Research:

The global bioinformatics market is expected to grow at a CAGR of 15.5% between 2014 and 2020. The market was worth US$10.04 bn in 2013 and is projected to reach US$30.87 bn by the end of 2020. The drug development segment is anticipated to lead all application segments. North America is expected to maintain its dominance in the global bioinformatics market with a revenue worth US$11,927.9 mn by 2020. Asia Pacific is expected to witness the highest growth with a CAGR of 18.7% throughout the forecast period. To maintain their position in the global bioinformatics market, the large number of market players operating in the global bioinformatics market are investing in research and development projects. They are also looking forward towards technological advances for increasing application in biosciences and integrated information technology. The top three market players in the global bioinformatics are Affymetrix Inc., Accelrys Inc., and CLC bio A/S. They together comprise approximately 34.6% of the overall global bioinformatics market in 2014. The expansion of biotechnology applications in fields of forensic research and disease diagnosis is drawing the attention of various healthcare organizations and professionals. According to the TMR report, biotechnology with technological and process advancements tends to create high-wage job opportunities in developing and developed countries due to which governments are focusing on the growth of the biotechnology industry. For better and accurate results, it is imperative that the bioinformatics techniques are operated by skilled personnel. The need for heavy investment in installation and tools upgradation training tends to impede the growth of the industry. Due to this, there is a lack of skilled manpower in the bioinformatics sector who can adapt to sophisticated and high-end biotechnology process and techniques. The scarcity of skilled workers is hindering the growth process of large clinical laboratories as they struggle to automate their processes. On the other hand, the small and medium laboratories have amplified their efforts to abridge and boost their operations with the available resources. Research and development activities also demand highly skilled personnel, but the lack of it is obstructing the growth process making it difficult for organizations and market players to benefit from their research investments.

Key segments of the Global Bioinformatics Market

  • Global Bioinformatics Market based on Platforms:
    • Sequence manipulation platforms
    • Sequence alignment platforms
    • Sequence analysis platforms
    • Structural analysis platforms
  • Global Bioinformatics Market based on Tools:
    • General knowledge management tools
    • Specialized knowledge management tools
  •   Global Bioinformatics Market based on Serivces:
    • Sequencing services
    • Database and management services
    • Data analysis services
    • Other services

Past Conference Report

Computational Biology 2018

We had successfully hosted the “International Conference on Computational Biology and Bioinformatics” during September 05-06, 2018 at Tokyo, Japan. The conference focused on the theme “Computational Biology: Going into the future one click at a time”. The conference was successful in bringing together renowned speakers from various reputed organizations and their paramount talks enlightened the gathering.

The pragmatic meet organized by our management received generous response from the academia, talented researchers & young student community. Researchers and students who attended from different parts of the world made their valuable contribution to make it a successful event. The conference was marked with the presence of eminent Speakers, Young Researchers, Students & Business Delegates driving the event into the path of success with thought provoking keynote & plenary presentations.

The Conference focused on recent developments in the field of Computational Biology and Bioinformatics and the meeting engrossed in knowledgeable discussions on novel subjects like:

•           Emerging Trends in Genomics

•           Emerging Trends in Proteomics

•           Health Informatics in Bioinformatics

•           Computational Genomics

•           Evolutionary Bioinformatics

•           Computational Pharmacology

•           Bioinformatics Algorithms & Databases

•           Biostatistics - An Approach to Bioinformatics

•           Epigenetics

•           Clinical Case Reports

•           Bioinformatics and Computational Biology

•           Systems Biology in Bioinformatics

•           Structural Bioinformatics

•           Immunology and Drug Discovery

Symposium:

Title:Exploring the neuroprotective effects of Tibolone during astrocytic metabolic inflammation: A flux balance analysis approach                   

Janneth Gonzalez, and Andres Pinzon, Colombia

The proceedings of the conference were embarked with an opening ceremony followed by Symposium and a series of Lectures delivered by both Honorable Guests and members of the Keynote forum. The adepts who promulgated the theme with their exquisite talks were:

Keynote forum:

Wen-Lian Hsu, Academia Sinica, Taiwan

Chun-Ping Yu, Academia Sinica, Taiwan

Satoru Miyano, University of Tokyo, Japan

Computational Biology 2018 Organizing Committee would like to thank the Moderator of the conference, Y-H Taguchi, Chuo University, Japan

With the encouragement from the excellent feedback from the participants and supporters of Computational Biology 2018, Conference Series LLC Ltd is glad to announce “2nd International Conference on Computational Biology and Bioinformatics” during May 17-18, 2019 Singapore.

                                                      Let us meet again @ Computational Biology 2019

 

 

 

 

 

To Collaborate Scientific Professionals around the World

Conference Date May 17-18, 2019

Speaker Opportunity

Supported By

Journal of Proteomics and Bioinformatics: Open access Journal of Metabolomics:Open Access Journal of Applied Bioinformatics & Computational Biology Journal of Data Mining in Genomics & Proteomics

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Keytopics

  • Bioinformatics
  • Bioinformatics Algorithms & Databases
  • Biology
  • Chemical Biology
  • Electron Transport
  • Evolutionary Bioinformatics
  • Genome Sequences
  • Massively Parallel Processing
  • Neurons
  • Pharmacology
  • Artificial Intelligence
  • ¬†Mass Spectrometry And NMR Spectroscopy
  • Biochemical Energy
  • Biochemistry
  • Biodiversity Informatics
  • Biomedical And Health Informatics
  • Biomolecules
  • Biostatistics
  • Clinical Case Reports
  • Computational Biology
  • Computational Chemistry
  • Computational Genomics
  • Computational Learning Theory
  • Computational Neuroscience
  • Computational Pharmacology
  • Computer Science
  • Data Mining
  • DNA And RNA Sequence
  • Drug Discovery
  • Epigenetics¬†
  • Genetics
  • Health Information Technologies
  • Immune Systems
  • Immunology
  • Informatics
  • Machine Learning
  • Macromolecules
  • Medicine
  • Metabolomics
  • Molecular Biology
  • Nervous System
  • Next Generation Sequencing
  • Nucleic Acid
  • Organisms
  • Post-genomic
  • Public Health
  • Quantum Mechanics
  • Structural Bioinformatics
  • Systems Biology
  • Three-dimensional Structure