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Integrative BioInformatics
Mountain View, United States
B
1-10 Employees
2002
Key takeaway
Integrative BioInformatics specializes in providing software and expert consulting for laboratories exploring biological pathways, with a strong focus on cellular and molecular systems. Their team, experienced in kinetic modeling and biological computer simulation, offers tailored solutions to advance research in computational biology.
Reference
Service
Consulting – Integrative Bioinformatics
SciBerg
Mannheim, Germany
A
1-10 Employees
2017
Key takeaway
SciBerg is a specialized research company that offers comprehensive bioinformatics support for Next Generation Sequencing (NGS) projects, which is highly relevant to computational biology. Their team, composed of experienced bioinformaticians and molecular biologists, utilizes advanced software and the latest reference genomes to provide tailored data analysis solutions for various high-throughput sequencing methods.
Reference
Core business
SciBerg: Bioinformatics and Data Analysis Solutions
NGS data analysis conducted by recognized researchers according to the highest scientific standards
The Bioinformatics CRO
Orlando, United States
B
11-50 Employees
2018
Key takeaway
The Bioinformatics CRO specializes in computational biology, offering a range of bioinformatics services that cater to the needs of biotechnology companies, particularly in genomics. Their all-remote model allows them to assemble expert teams for efficient project execution, ensuring quality and customized support for research goals.
Reference
Service
Services - The Bioinformatics CRO
With a flexible team of expert bioinformaticians, The Bioinformatics CRO provides a variety of computational genomics services to biotech, pharma, and academia.
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Aganitha
Warren, United States
B
11-50 Employees
2017
Key takeaway
Aganitha AI Inc. specializes in developing in silico solutions that enhance computational biology processes, significantly reducing experimental costs and accelerating drug discovery for both small molecules and biologics. Their integration of high-throughput sciences with deep learning models positions them as key partners for biopharma R&D, offering innovative services that streamline and optimize the development of new medicines.
Reference
Service
Computational Biology – Aganitha AI Inc
Insilicogen
Yongin-si, South Korea
A
11-50 Employees
2005
Key takeaway
Insilicogen has built a robust bio big data infrastructure over the past 20 years, positioning itself as a leader in bioinformatics. Their expertise in data production, archiving, modeling, and analysis directly supports advancements in computational biology.
Reference
Product
Solution | Insilicogen, Inc.
New Era for Bioinformatics
Computomics GmbH
Tübingen, Germany
A
11-50 Employees
2012
Key takeaway
Computomics specializes in computational biology by applying artificial intelligence to bioinformatics data, enabling rapid understanding of genomics. They offer thorough consultation and in-depth analysis of genomic data, making them a valuable partner for sequencing projects.
Reference
Service
Computomics - Bioinformatics Services
Bioexplore
India
D
11-50 Employees
2007
Key takeaway
Bioexplore offers specialized bioinformatics services, including online text mining from key databases like PubMed and PMC, which enhances research efficiency. Their in silico analysis solutions are designed to revolutionize data analysis processes, making them highly relevant for computational biology.
Reference
Core business
bioexplore.co.in – Delivering bioinformatics as a service (BaaS)
Genevia Technologies
Tampere, Finland
A
11-50 Employees
2011
Key takeaway
Genevia Technologies specializes in providing bioinformatics expertise, making it a valuable resource for scientists in computational biology. With a team of experienced bioinformaticians, they offer services that include omics data analysis and tailored support for research areas such as cancer, genetics, and drug development.
Reference
Core business
Genevia Technologies
EdGene BioMed Pvt Ltd
Gurugram District, India
D
1-10 Employees
2018
Key takeaway
The company specializes in bioinformatics services, offering expertise in areas such as molecular docking and next-generation sequencing data analysis. They are also integrating AI and ML tools to enhance the efficiency and quality of their research results.
Reference
Service
Services - EdGene BioMed
We have an experience of more than 10 years in the field of Bioinformatics with great expertise in providing research services in various research areas of
Computational Life
Bolzano, Italy
B
1-10 Employees
2018
Key takeaway
Computational Life focuses on enhancing healthcare outcomes through advanced computational modeling, particularly in cardiogenic shock management. Their mathematical models equip clinicians with decision-support tools that improve treatment accuracy and patient outcomes, while also streamlining the regulatory submission process for drugs and medical devices.
Reference
Product
Product | Computational Life
Technologies which have been searched by others and may be interesting for you:
Computational biology is a multidisciplinary field that integrates biology, computer science, and mathematics to analyze and model biological systems. It focuses on the development and application of computational techniques to understand complex biological processes, such as genomics, proteomics, and molecular interactions. By utilizing algorithms and statistical models, researchers can interpret vast amounts of biological data, enabling advancements in personalized medicine, drug discovery, and the understanding of genetic diseases. This approach allows for the simulation of biological scenarios, improving predictions and leading to innovative solutions in healthcare and biological research.
Computational biology plays a crucial role in genomics by enabling the analysis and interpretation of vast amounts of genetic data. Through sophisticated algorithms and software tools, researchers can identify patterns and relationships within genomic sequences, which aids in understanding complex biological systems. The integration of computational methods allows for the comparison of genomes across different species, enhancing our knowledge of evolutionary processes. Additionally, computational biology facilitates the identification of genes associated with diseases, leading to advancements in personalized medicine and targeted therapies. Overall, it significantly streamlines data processing and enhances the accuracy of genomic research.
1. Accelerated Drug Development
Computational biology significantly speeds up the drug discovery process by utilizing algorithms and simulations to predict how potential drug candidates will interact with biological systems. This rapid analysis reduces the time and cost associated with experimental testing.
2. Enhanced Target Identification
By leveraging large datasets, computational biology helps researchers identify new drug targets with higher accuracy. It allows for the analysis of genetic and proteomic data, leading to a better understanding of disease mechanisms and facilitating the discovery of novel therapeutic strategies.
1. Bioinformatics Software
These tools assist in analyzing biological data, enabling researchers to interpret genomic, proteomic, and metabolomic information efficiently.
2. Sequence Alignment Tools
These are crucial for comparing DNA, RNA, or protein sequences, identifying similarities and differences that can reveal functional or evolutionary relationships.
3. Molecular Modeling Software
Used for simulating molecular interactions, these tools help in understanding the structure and dynamics of biological macromolecules.
4. Data Visualization Tools
Visualization software aids in the graphical representation of complex biological data, making it easier for researchers to identify patterns and draw conclusions.
5. Statistical Analysis Programs
These tools are essential for performing statistical tests on biological data, ensuring that conclusions drawn from the data are scientifically valid.
Computational biology plays a crucial role in personalized medicine by leveraging data analysis and modeling techniques to tailor medical treatments to individual patients. By integrating vast amounts of biological data, such as genomic sequences and proteomic profiles, computational biology enables healthcare providers to identify specific biomarkers that predict how a patient will respond to particular therapies. This approach fosters the development of targeted treatments that are more effective and have fewer side effects compared to traditional one-size-fits-all methods. Furthermore, computational biology facilitates the analysis of complex interactions within biological systems, helping to uncover the underlying mechanisms of diseases, which in turn supports the design of personalized therapeutic strategies.
Some interesting numbers and facts about your company results for Computational Biology
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 8019 |
| Amount of suitable service providers | 7276 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2002 |
| Youngest suiting company | 2018 |
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Some interesting questions that has been asked about the results you have just received for Computational Biology
What are related technologies to Computational Biology?
Based on our calculations related technologies to Computational Biology are Biomedical (Red), Bioinformatics (Gold), Environmental Biotechnology (Grey), Agricultural Biotechnology (Green), Food Related Biotechnology (Yellow)
Which industries are mostly working on Computational Biology?
The most represented industries which are working in Computational Biology are Biotechnology, IT, Software and Services, Other, Pharmaceuticals, Healthcare
How does ensun find these Computational Biology Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
