"Computational Biology" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
| Descriptor ID |
D019295
|
| MeSH Number(s) |
H01.158.273.180 L01.313.124
|
| Concept/Terms |
Computational Molecular Biology- Computational Molecular Biology
- Biologies, Computational Molecular
- Biology, Computational Molecular
- Computational Molecular Biologies
- Molecular Biologies, Computational
- Molecular Biology, Computational
Bio-Informatics- Bio-Informatics
- Bio Informatics
- Bio-Informatic
- Bioinformatics
- Bioinformatic
|
Below are MeSH descriptors whose meaning is more general than "Computational Biology".
Below are MeSH descriptors whose meaning is more specific than "Computational Biology".
This graph shows the total number of publications written about "Computational Biology" by people in this website by year, and whether "Computational Biology" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2002 | 0 | 1 | 1 |
| 2007 | 1 | 1 | 2 |
| 2008 | 0 | 1 | 1 |
| 2009 | 1 | 1 | 2 |
| 2010 | 2 | 1 | 3 |
| 2011 | 1 | 1 | 2 |
| 2012 | 2 | 1 | 3 |
| 2014 | 2 | 0 | 2 |
| 2015 | 2 | 1 | 3 |
| 2016 | 1 | 0 | 1 |
| 2017 | 0 | 1 | 1 |
| 2018 | 0 | 3 | 3 |
| 2019 | 1 | 3 | 4 |
| 2020 | 1 | 0 | 1 |
| 2021 | 0 | 3 | 3 |
| 2022 | 0 | 1 | 1 |
| 2023 | 0 | 1 | 1 |
| 2024 | 1 | 2 | 3 |
| 2025 | 1 | 0 | 1 |
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click here.
Below are the most recent publications written about "Computational Biology" by people in Profiles.
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Exploring the Granularity of the Illnesses-Related Changes in Regional Homogeneity in Major Depressive Disorder using the UKBB Data. Pac Symp Biocomput. 2025; 30:647-663.
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Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers. PLoS Comput Biol. 2024 Jul; 20(7):e1011642.
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Comparative analysis of in-silico tools in identifying pathogenic variants in dominant inherited retinal diseases. Hum Mol Genet. 2024 05 18; 33(11):945-957.
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The good, the bad, and the hazardous: comparative genomic analysis unveils cell wall features in the pathogen Candidozyma auris typical for both baker's yeast and Candida. FEMS Yeast Res. 2024 Jan 09; 24.
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A bioinformatic analysis of zinc transporters in intestinal Lactobacillaceae. Metallomics. 2023 08 01; 15(8).
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Current progress and open challenges for applying deep learning across the biosciences. Nat Commun. 2022 04 01; 13(1):1728.
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Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia. PLoS Comput Biol. 2021 09; 17(9):e1009381.
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On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread. PLoS Comput Biol. 2021 07; 17(7):e1009129.
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Geometrically restricted image descriptors: A method to capture the appearance of shape. J Vis. 2021 03 01; 21(3):14.
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Potential SARS-CoV-2 interactions with proteins involved in trophoblast functions - An in-silico study. Placenta. 2021 Jan 01; 103:141-151.