computational biology

USAGE SUMMARY

The phrase 'computational biology' is grammatically correct and usable in written English.
It refers to the use of computer models and simulations to study and analyze biological processes. For example: "Robotics, artificial intelligence, and computational biology are all essential for modern biomedical research."

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

PLoS computational biology 9 (2013).

Nature

PLoS Computational Biology 6 (2010).

Nature

Journal of Computational Biology.

University of California, Berkeley

PLOS Computational Biology 2015.

Yale University

PLoS Computational Biology.

Harvard University

PLoS computational biology.

Harvard University

(II) Computational biology.

Massachusetts Institute of Technology

PLOS Computational Biology.

Yale University

He studied computational biology.

Stanford University

6.047 Computational Biology.

Massachusetts Institute of Technology

Plos Computational Biology 3, e76 (2007).

Nature

Expert writing Tips

Best practice

When discussing interdisciplinary research, clearly define "computational biology" to highlight its specific contributions in integrating computational methods with biological data.

Common error

Don't use "computational biology" as a catch-all term for any biology involving computers; specify the type of analysis or modeling being used.

Linguistic Context

The phrase "computational biology" functions as a noun phrase, typically used as a subject or object in a sentence. As Ludwig AI explains, it refers to the application of computational techniques to analyze biological data and model biological systems. Examples show it describing fields of study, research areas, and departments.

Expression frequency: Very common

Frequent in

Academia

50%

Science

35%

News & Media

15%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "computational biology" is a grammatically correct noun phrase widely used to describe the interdisciplinary field applying computational techniques to biological research. Ludwig AI confirms its validity and common usage. Its frequency is very high, predominantly in academic and scientific contexts, with a formal tone. Best practices include using it precisely to describe specific computational methods, avoiding generic use. Alternatives include "bioinformatics" and "systems biology", each with nuanced differences. Top sources include Nature and PLoS Computational Biology.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Computational genomics

Specifically uses computational methods to analyze genomic data.

Bioinformatics

Focuses more on the data management and analysis aspect, often involving large datasets.

Systems biology

Emphasizes the study of biological systems as integrated and interacting networks, using computational and mathematical modeling.

Mathematical biology

Utilizes mathematical modeling to understand biological processes, sometimes without a strong computational component.

Network biology

Focuses on understanding biological systems as networks of interacting components, often using computational modeling.

Genomics

Focuses on the study of genomes, including sequencing, mapping, and analysis, often relying on computational tools.

Proteomics

Studies the complete set of proteins, including their structure and function, often involving computational analysis of large datasets.

Biomedical informatics

Applies informatics principles to biomedical research and healthcare, encompassing computational methods for analyzing biological and clinical data.

Statistical genetics

Uses statistical methods to study the genetic basis of traits and diseases, often involving computational analysis of genetic data.

Theoretical biology

Involves the development of theoretical models to understand biological phenomena, sometimes using computational simulations.

FAQs

How is "computational biology" used in research?

"Computational biology" is used to model biological systems, analyze large datasets like genomic sequences, and simulate complex processes, aiding in drug discovery and personalized medicine.

What skills are needed for a career in "computational biology"?

A background in biology, computer science, and mathematics is essential. Proficiency in programming languages like Python or R, and experience with bioinformatics tools are highly valued.

What's the difference between "computational biology" and "bioinformatics"?

"Computational biology" develops and applies computational methods to solve biological problems, while "bioinformatics" focuses on managing and analyzing biological data. The fields often overlap.

Can you provide examples of "computational biology" in personalized medicine?

"Computational biology" is critical in analyzing patient-specific genomic data to predict drug response, design targeted therapies, and understand disease mechanisms at an individual level.