 Computational Biology
"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 applicable to MOLECULAR BIOLOGY and areas of computer-based techniques for solving biological problems including manipulation of models and datasets.
| Descriptor ID |
D019295
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| MeSH Number(s) |
H01.158.273.180
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| Concept/Terms |
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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 |
|---|
| 1997 | 0 | 2 | 2 | | 2000 | 2 | 1 | 3 | | 2001 | 1 | 6 | 7 | | 2002 | 1 | 5 | 6 | | 2003 | 2 | 6 | 8 | | 2004 | 5 | 9 | 14 | | 2005 | 7 | 9 | 16 | | 2006 | 7 | 13 | 20 | | 2007 | 3 | 13 | 16 | | 2008 | 6 | 16 | 22 | | 2009 | 9 | 13 | 22 | | 2010 | 11 | 17 | 28 | | 2011 | 8 | 16 | 24 | | 2012 | 7 | 11 | 18 | | 2013 | 5 | 12 | 17 | | 2014 | 7 | 20 | 27 | | 2015 | 9 | 19 | 28 | | 2016 | 1 | 20 | 21 | | 2017 | 6 | 15 | 21 | | 2018 | 7 | 18 | 25 | | 2019 | 10 | 18 | 28 | | 2020 | 5 | 12 | 17 | | 2021 | 6 | 10 | 16 | | 2022 | 3 | 1 | 4 |
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Below are the most recent publications written about "Computational Biology" by people in Profiles.
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Zou H, Pan T, Gao Y, Chen R, Li S, Guo J, Tian Z, Xu G, Xu J, Ma Y, Li Y. Pan-cancer assessment of mutational landscape in intrinsically disordered hotspots reveals potential driver genes. Nucleic Acids Res. 2022 05 20; 50(9):e49.
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Tseng YY, Sanders MA, Zhang H, Zhou L, Chou CY, Granneman JG. Structural and functional insights into ABHD5, a ligand-regulated lipase co-activator. Sci Rep. 2022 02 16; 12(1):2565.
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Wu P, Feng Q, Kerchberger VE, Nelson SD, Chen Q, Li B, Edwards TL, Cox NJ, Phillips EJ, Stein CM, Roden DM, Denny JC, Wei WQ. Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension. Nat Commun. 2022 01 10; 13(1):46.
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Bush WS, Wheeler N, Darabos C, Beaulieu-Jones B. Packaging Biocomputing Software to Maximize Distribution and Reuse. Pac Symp Biocomput. 2022; 27:412-416.
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Cook J, Pawar S, Endres RG. Thermodynamic constraints on the assembly and diversity of microbial ecosystems are different near to and far from equilibrium. PLoS Comput Biol. 2021 12; 17(12):e1009643.
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Long Y, Chen Q, Larsson H, Rzhetsky A. Observable variations in human sex ratio at birth. PLoS Comput Biol. 2021 12; 17(12):e1009586.
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Lechón-Alonso P, Clegg T, Cook J, Smith TP, Pawar S. The role of competition versus cooperation in microbial community coalescence. PLoS Comput Biol. 2021 11; 17(11):e1009584.
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Sun Y, Zhu J, Zhou D, Canchi S, Wu C, Cox NJ, Rissman RA, Gamazon ER, Wu L. A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes. Genome Med. 2021 09 01; 13(1):141.
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Kim BY, Wang JR, Miller DE, Barmina O, Delaney E, Thompson A, Comeault AA, Peede D, D'Agostino ERR, Pelaez J, Aguilar JM, Haji D, Matsunaga T, Armstrong EE, Zych M, Ogawa Y, Stamenkovic-Radak M, Jelic M, Veselinovic MS, Tanaskovic M, Eric P, Gao JJ, Katoh TK, Toda MJ, Watabe H, Watada M, Davis JS, Moyle LC, Manoli G, Bertolini E, Koštál V, Hawley RS, Takahashi A, Jones CD, Price DK, Whiteman N, Kopp A, Matute DR, Petrov DA. Highly contiguous assemblies of 101 drosophilid genomes. Elife. 2021 07 19; 10.
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Naumov V, Putin E, Pushkov S, Kozlova E, Romantsov K, Kalashnikov A, Galkin F, Tihonova N, Shneyderman A, Galkin E, Zinkevich A, Cope SM, Sethuraman R, Oprea TI, Pearson AT, Tay S, Agrawal N, Dubovenko A, Vanhaelen Q, Ozerov I, Aliper A, Izumchenko E, Zhavoronkov A. COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity. PLoS Comput Biol. 2021 07; 17(7):e1009183.
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