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Top Computational Biology Companies

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60 companies for Computational Biology

Integrative BioInformatics's Logo

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.

Highlighted product

Service

Consulting – Integrative Bioinformatics

Helix Biogen Institute's Logo

Helix Biogen Institute

Ogbomosho, Nigeria

E

11-50 Employees

2019

Key takeaway

The Helix Biogen Institute is dedicated to advancing Life Sciences through technology, providing biomedical researchers with expert support in "Omics" fields like bioinformatics and molecular biology. They emphasize the use of data science and artificial intelligence for innovative product development, making it a relevant resource for those interested in computational biology.

Highlighted product

Core business

CPF: Bioinformatics Training | HBI x ASM – Helix Biogen Institute

Bioexplore's Logo

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.

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Core business

bioexplore.co.in – Delivering bioinformatics as a service (BaaS)

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Computational Life's Logo

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.

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Product

Product | Computational Life

SciBerg's Logo

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.

Highlighted product

Core business

SciBerg: Bioinformatics and Data Analysis Solutions

NGS data analysis conducted by recognized researchers according to the highest scientific standards

Aganitha's Logo

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.

Highlighted product

Service

Computational Biology – Aganitha AI Inc

B13LOGY LLC's Logo

B13LOGY LLC

New York, United States

B

1-10 Employees

2016

Key takeaway

B13LOGY LLC specializes in protein-centric research for molecular life sciences, offering both wet and dry lab services that could streamline the analysis of protein interactions, similar to DNA sequencing.

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Core business

B13LOGY

Biology Research as a Service: an accelerator toolB13LOGY LLC provides expert, protein-centric wet and dry lab research for molecular life sciences.What if analyzing protein interactions could be as straightforward as DNA sequencing; send samples out and receive back a standardized, easy

COSBI's Logo

COSBI

Rovereto, Italy

B

11-50 Employees

2005

Key takeaway

COSBI specializes in computational biology, developing mathematical and Quantitative Systems Pharmacology models to predict disease progression and treatment efficacy. Their innovative approaches enhance understanding of biological processes, particularly in personalized medicine and nutrition.

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Service

Expertise - Cosbi

The Bioinformatics CRO's Logo

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.

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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.

Cambridge Bioinformatics's Logo

Cambridge Bioinformatics

Cambridge, United Kingdom

A

1-10 Employees

-

Key takeaway

Cambridge Bioinformatics focuses on equipping bench scientists with essential bioinformatics skills through a range of courses that combine theory and practical experience, particularly in genomics. Their curriculum includes foundational to specialized topics, making it highly relevant for those interested in computational biology.

Highlighted product

Core business

Cambridge Bioinformatics - Online Training for Genomics


Related searches for Computational Biology

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Things to know about Computational Biology

What is Computational Biology?

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.


How is Computational Biology used in genomics?

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.


What are the benefits of Computational Biology in drug discovery?

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.


Which tools are commonly used in Computational Biology?

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.


How does Computational Biology contribute to personalized medicine?

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.


Insights about the Computational Biology results above

Some interesting numbers and facts about your company results for Computational Biology

Country with most fitting companiesUnited States
Amount of fitting manufacturers6428
Amount of suitable service providers6137
Average amount of employees11-50
Oldest suiting company2002
Youngest suiting company2019

Geographic distribution of results





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Frequently asked questions (FAQ) about Computational Biology Companies

Some interesting questions that has been asked about the results you have just received for 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)

The most represented industries which are working in Computational Biology are Biotechnology, IT, Software and Services, Other, Pharmaceuticals, Healthcare

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Related categories of Computational Biology