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Featured
Omicium is for Omics | Computational Biology | Bioinformatics
... Tools and Resources for Computational Biology, Genomics, Proteomics , Computer Aided Drug Design, Next Generation Sequencing, Molecular Modelling and Simulation, Programming in Python, R, BASH scripting and many more topics. ...
Warren, United States
11-50 Employees
2017
We develop tools that accelerate our client’s research and development process. We develop in silico solutions to reduce Avoidable Experimental Expenditure (AEE) and accelerate drug discovery and development stages for Small Molecules (SMOL) and biologics. Aganitha partners with global pharma to bring novel medicines to market faster. Aganitha is a new generation in silico company that integrates high-throughput sciences with deep learning-based generative models to solve complex drug discovery and development challenges. Offering services in computational sciences and technology to complement biopharma R&D. Scale up and augment R&D by working with extended teams/service providers while keeping costs low. Our AI models, guided by in-house experts, continuously improve on the increasingly available data to provide more intelligent solutions. Our focus on developing solutions for straight-through processing, high performance, robustness, scalability, extensibility, and automation helps biopharma R&D teams to minimize manual effort and accelerate drug discovery and development processes.
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Featured
Computational Biology Services
... Learn more about our Computational Biology ...
New York, United States
11-50 Employees
2007
We offer four medical animation styles — High-end 3D, 3D, 2D, and Deck3D™ — in 26 configurations to meet your organization's needs.
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Featured
Visual Science — medical animation, MoAs, MoDs for pharma, biotech, and healthcare industries
... We revolutionized the field by bringing computational biology methods to medical animation, earning an international reputation for excellence along with hundreds of millions of views. ...
Noida, India
11-50 Employees
2021
Our mission is to ensure the generation of accurate and precise findings. Our vision is offering superior biospecimen resources, our biobank aspires to be at the cutting edge of scientific development and revolutionize healthcare. Additionally, we are also registered with The Indian Council of Medical Research (ICMR), another prestigious regulatory body in India. We deliver quality services to our valuable customers. We are assisted with teams of expert who have several years of experience. We are one of the biggest biobanks in the nation, and we work independently to gather, preserve, and provide high-quality biospecimens and related data to support a variety of research initiatives. Our biobank's Mission is to advance medical research and enhance patient care through the efficient collection, storage, and provision of high-quality bio specimens and related data. These services are crucial in preserving human biospecimens that serve as the cornerstone for future research endeavors.
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Featured
Omics, Bio-Informatics, Computational Biology
... Omics, Bio-Informatics, Computational Biology ...
Thailand
11-50 Employees
2018
BioXcepTion is a high school student research team that encourages conducting cutting-edge research with a particular emphasis on Computational Biology, Computational Chemistry, and Artificial Intelligence. It was founded in 2017 by students interested in Biological and Chemical Sciences as well as Computer Science. Molecular Property & Interaction – focuses on the relationship of biomolecular structure, leading to predict molecular properties and interactions.
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Featured
BioXcepTion
... High school student research team with a particular emphasis on Computational Biology, Computational Chemistry, and Artificial ...
Gemeinde Guntramsdorf, Austria
1-10 Employees
1999
We believe that bioinformatics is the future and are committed to making it available to you. At ScienceConsult we apply state-of-the-art techniques to provide you with a cutting-edge gateway for your next bioinformatics analysis.
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Featured
ScienceConsult – DI Thomas Mohr KG – Consulting Engineers in Computational Biology and in vitro test development
... ScienceConsult – DI Thomas Mohr KG – Consulting Engineers in Computational Biology and in vitro test ...
Orlando, United States
11-50 Employees
2018
We are an all-remote bioinformatics contract research organization, which allows us to source top bioinformaticians from around the globe. We assemble transient project teams, consisting of proven subject-matter experts, to execute projects efficiently, using best practices. The Bioinformatics CRO represents a new breed of contract research organization that offers quality customized bioinformatics services to biotechnology companies worldwide. We offer a variety of computational services that help you achieve your research goals. The Bioinformatics CRO is a fully distributed contract research company that serves the computational biology needs of biotechnology companies, with a focus on genomics. We offer project-based contract research, consulting, and a flexible “bioinformatics department for hire” service. Excedr’s laboratory support program provides scientists with affordable leasing solutions that get equipment into the lab quickly.
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Featured
The Bioinformatics CRO - contract research and consulting
... The Bioinformatics CRO is a contract research organization and consultancy for computational biology, genomics, and bioinformatics. ...
Noida, India
1-10 Employees
2022
We are a group of enthusiasts with a common goal to bridge the gap between academics, research and industry. All the course instructors and the counsellors carry good experience in their domain and are eager to guide from their experience. We have instructors belonging to the field Computational Biology, Artificial intelligence and Computer Science, Biological Sciences and MBBS. Most loved courses for students and working professionals. R is the language of Bioinformatics and Statistical Data Analysis.
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Featured
A smooth transition from Core biology to Computational biology and from Computer science to Healthcare or Bioinformatics
... A smooth transition from Core biology to Computational biology and from Computer science to Healthcare or ...
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Home Page
... He is also a freelance / independent consultant working in the area of bioinformatics, computational biology, biostatistics, data visualisation (dataviz), OMICs, et cetera. ...
Stockholm, Sweden
1-10 Employees
One-stop solution for any Entrepreneurship, Business, Tech, Market and Industry eLearning ambition. Top entrepreneurship instructors from around the world teach our students and clients on Universities, College, High School and Higher Education. Apply for our webinars and schedule an appointment today for your University, High School, College, Higher Education or Corporate. You can list your educational institute or company as an official partner of Atechup.
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Biotechnology and Computational Biology Tech Trends
... "Biotechnology and Computational Biology Tech Trends" is a comprehensive e-book that explores the latest developments in the field of biotechnology and computational biology. Written by experts in the field, the e-book covers a range of topics related to biotechnology and ...
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Some interesting numbers and facts about the results you have just received for Computational Biology
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 40 |
| Amount of suitable service providers | 38 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1999 |
| Youngest suiting company | 2022 |
Computational biology is an interdisciplinary field that leverages the capabilities of computers to understand and model the structures, dynamics, and interactions of complex biological systems. By combining elements from computer science, statistics, mathematics, and engineering, computational biology aims to develop algorithms and quantitative models to analyze biological data. This data can range from genetic sequences and molecular structures to whole ecosystems. The significance of computational biology lies in its ability to process vast amounts of data efficiently and accurately, which traditional biological approaches may not handle effectively. This computational prowess facilitates groundbreaking discoveries in genomics, proteomics, and systems biology, contributing to advancements in personalized medicine, drug discovery, and understanding of evolutionary biology. For instance, it enables researchers to predict how genetic variations can affect drug responses, thereby tailoring treatments to individual genetic profiles. Furthermore, computational biology plays a pivotal role in decoding complex biological networks, enhancing our understanding of diseases' mechanisms at a molecular level. This, in turn, opens new avenues for developing targeted therapies and preventive measures, marking a significant impact on healthcare and disease management. Through its integrative approach, computational biology bridges the gap between theoretical knowledge and practical application, setting the stage for future innovations in biology and medicine.
1. Increased Efficiency
Computational biology accelerates the research process by enabling the analysis of vast datasets much faster than traditional methods. This efficiency opens up new avenues for understanding complex biological systems and diseases.
2. Cost-Effectiveness
By relying on computational methods, researchers can significantly reduce the need for expensive laboratory experiments. This cost reduction makes it feasible to undertake larger and more diverse studies, democratizing access to high-quality research.
3. Precision and Predictive Power
Computational tools offer unparalleled precision in modeling biological processes, allowing for accurate predictions about the effects of genetic mutations, drug interactions, and disease progression. This precision supports the development of targeted therapies and personalized medicine.
4. Interdisciplinary Collaboration
The field encourages collaboration across biology, computer science, mathematics, and engineering. This interdisciplinary approach fosters innovation and leads to breakthroughs that might not be possible within a single discipline.
While evaluating the different suppliers make sure to check the following criteria:
1. Expertise and Experience
Ensure the supplier has a strong background in computational biology, with a team of experts who have hands-on experience in bioinformatics, systems biology, and computational genomics.
2. Technology and Tools
Check for the use of advanced computational tools and platforms that facilitate efficient data analysis, modeling, and simulation in biological research.
3. Data Security
Confirm they have robust data security measures in place to protect sensitive biological data, including compliance with relevant data protection regulations.
4. Customization Capabilities
The supplier should offer customizable solutions that can be tailored to meet the specific needs of your projects in computational biology.
5. Research and Development (R&D) Support
Look for suppliers who provide strong R&D support, including access to the latest research, trends, and technologies in computational biology.
6. Cost-effectiveness
Evaluate their pricing models to ensure they offer competitive rates without compromising on the quality of services and technology provided.
Computational biology has found a pivotal role in pharmaceuticals, where it accelerates drug discovery and development. By simulating the interactions between drugs and biological systems, companies can predict drug efficacy and side effects more accurately and at a fraction of the time and cost associated with traditional methods. This application not only speeds up the R&D process but also reduces the reliance on costly and ethically complex animal testing. In the agriculture sector, computational biology is revolutionizing genetic engineering and crop improvement strategies. Through the analysis of genetic data, companies are able to identify genes linked to desirable traits such as drought resistance or higher yield. This information can then be used to engineer crops that are better suited to the challenges posed by climate change, ultimately improving food security and sustainability. The healthcare industry benefits from computational biology through personalized medicine. By analyzing patient-specific genetic information, healthcare providers can tailor treatments to the individual's genetic makeup, enhancing the effectiveness of treatments for a wide range of diseases, from cancer to genetic disorders. This use case not only improves patient outcomes but also helps in optimizing healthcare resources by reducing the trial-and-error approach in treatment selection. Lastly, in environmental conservation, computational biology aids in biodiversity management and the assessment of ecosystem health. By analyzing genetic diversity and population dynamics, organizations can make informed decisions regarding conservation strategies and the management of endangered species, helping to preserve biodiversity and maintain ecosystem balance.
Computational biology, an interdisciplinary field that leverages computational methods to model and analyze biological systems, currently spans various Technology Readiness Levels (TRLs) due to its broad application range. In research and development contexts, aspects of computational biology are at higher TRLs, around 7-9, especially in areas like drug discovery and genomics, where algorithms and software tools have been extensively validated in real-world scenarios and integrated into clinical and biotechnological applications. However, emerging areas such as predictive modeling for complex biological systems or personalized medicine algorithms are at lower TRLs, around 3-6, because these applications require further experimentation and validation to ensure accuracy and reliability. This discrepancy is primarily due to the complexity of biological systems, the vast amount of data that needs to be processed, and the challenge of translating theoretical models into practical applications. Additionally, the rapid pace of technological advancement in both hardware capabilities and algorithmic methods continually shifts the TRL landscape, pushing the boundaries of what computational biology can achieve while also introducing new challenges in data management, computational power, and model validation.
In the Short-Term, computational biology is poised to see significant advancements in machine learning applications, particularly in the realm of personalized medicine. This phase is expected to enhance the precision and speed of genomic data analysis, enabling more tailored therapeutic strategies for individual patients. The integration of AI-driven algorithms will also improve the predictive accuracy of disease outcomes, fostering a new era of preventive healthcare measures. Looking into the Mid-Term, the field is anticipated to expand its horizons with the development of more sophisticated bioinformatics tools and computational models. These advancements will facilitate a deeper understanding of complex biological systems and their interactions at the molecular level. This period will likely witness breakthroughs in drug discovery and development, as computational simulations and modeling become increasingly reliable for predicting drug efficacy and safety profiles, thus significantly reducing the time and cost associated with traditional clinical trials. In the Long-Term, computational biology is expected to revolutionize our approach to understanding and manipulating the very fabric of biological life. Advancements in quantum computing and nanotechnology will open new frontiers in simulating biological processes at an unprecedented scale and precision. This era will likely usher in groundbreaking applications such as the ability to design custom organisms or reprogram human cells for regenerative medicine, fundamentally altering the landscape of biotechnology and healthcare.
