 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 | 8 | 14 | 22 | | 2007 | 3 | 12 | 15 | | 2008 | 6 | 16 | 22 | | 2009 | 10 | 13 | 23 | | 2010 | 12 | 17 | 29 | | 2011 | 8 | 15 | 23 | | 2012 | 7 | 11 | 18 | | 2013 | 6 | 13 | 19 | | 2014 | 9 | 19 | 28 | | 2015 | 9 | 18 | 27 | | 2016 | 2 | 19 | 21 | | 2017 | 3 | 12 | 15 | | 2018 | 8 | 17 | 25 | | 2019 | 8 | 18 | 26 | | 2020 | 1 | 8 | 9 |
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Below are the most recent publications written about "Computational Biology" by people in Profiles.
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Gostic KM, McGough L, Baskerville EB, Abbott S, Joshi K, Tedijanto C, Kahn R, Niehus R, Hay JA, De Salazar PM, Hellewell J, Meakin S, Munday JD, Bosse NI, Sherrat K, Thompson RN, White LF, Huisman JS, Scire J, Bonhoeffer S, Stadler T, Wallinga J, Funk S, Lipsitch M, Cobey S. Practical considerations for measuring the effective reproductive number, Rt. PLoS Comput Biol. 2020 12; 16(12):e1008409.
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Zhou X, Im HK, Lee SH. CORE GREML for estimating covariance between random effects in linear mixed models for complex trait analyses. Nat Commun. 2020 08 21; 11(1):4208.
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Kennedy DE, Okoreeh MK, Maienschein-Cline M, Ai J, Veselits M, McLean KC, Dhungana Y, Wang H, Peng J, Chi H, Mandal M, Clark MR. Novel specialized cell state and spatial compartments within the germinal center. Nat Immunol. 2020 06; 21(6):660-670.
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Tiruvayipati S, Wolfgeher D, Yue M, Duan F, Andrade J, Jiang H, Schuger L. Variability in protein cargo detection in technical and biological replicates of exosome-enriched extracellular vesicles. PLoS One. 2020; 15(3):e0228871.
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Sun X, Wang Z, Hall JM, Perez-Cervantes C, Ruthenburg AJ, Moskowitz IP, Gribskov M, Yang XH. Chromatin-enriched RNAs mark active and repressive cis-regulation: An analysis of nuclear RNA-seq. PLoS Comput Biol. 2020 02; 16(2):e1007119.
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Moellering RE. Editorial Overview: Tracking the ties that bind: Emerging technologies to profile biomolecular interactions in native environments. Curr Opin Chem Biol. 2020 02; 54:A1-A4.
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Kotekal S, MacLean JN. Recurrent interactions can explain the variance in single trial responses. PLoS Comput Biol. 2020 01; 16(1):e1007591.
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Song SJ, Sanders JG, Delsuc F, Metcalf J, Amato K, Taylor MW, Mazel F, Lutz HL, Winker K, Graves GR, Humphrey G, Gilbert JA, Hackett SJ, White KP, Skeen HR, Kurtis SM, Withrow J, Braile T, Miller M, McCracken KG, Maley JM, Ezenwa VO, Williams A, Blanton JM, McKenzie VJ, Knight R. Comparative Analyses of Vertebrate Gut Microbiomes Reveal Convergence between Birds and Bats. mBio. 2020 01 07; 11(1).
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Shah A, Li YI. Identification and Quantification of Splicing Quantitative Trait Loci. Methods Mol Biol. 2020; 2082:51-62.
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Kowalski MH, Qian H, Hou Z, Rosen JD, Tapia AL, Shan Y, Jain D, Argos M, Arnett DK, Avery C, Barnes KC, Becker LC, Bien SA, Bis JC, Blangero J, Boerwinkle E, Bowden DW, Buyske S, Cai J, Cho MH, Choi SH, Choquet H, Cupples LA, Cushman M, Daya M, de Vries PS, Ellinor PT, Faraday N, Fornage M, Gabriel S, Ganesh SK, Graff M, Gupta N, He J, Heckbert SR, Hidalgo B, Hodonsky CJ, Irvin MR, Johnson AD, Jorgenson E, Kaplan R, Kardia SLR, Kelly TN, Kooperberg C, Lasky-Su JA, Loos RJF, Lubitz SA, Mathias RA, McHugh CP, Montgomery C, Moon JY, Morrison AC, Palmer ND, Pankratz N, Papanicolaou GJ, Peralta JM, Peyser PA, Rich SS, Rotter JI, Silverman EK, Smith JA, Smith NL, Taylor KD, Thornton TA, Tiwari HK, Tracy RP, Wang T, Weiss ST, Weng LC, Wiggins KL, Wilson JG, Yanek LR, Zöllner S, North KE, Auer PL. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. PLoS Genet. 2019 12; 15(12):e1008500.
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